Python Developer Jobs in Egypt

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.<br><br>Get to Know Our Team<br><br>The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>This role is based in Gurgaon, India. <br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field8+ years of experience in software engineering with a minimum of 4+ years in MLGood experience in Pyspark Expert level understanding of Python with design patterns and object-oriented programming. Experience debugging and reasoning about production issues is desirable. A good understanding of data architecture principles preferred. Any other experience with Big Data technologies / tools SQL experience Analytical problem-solving capabilities & experience. Systems administration skills in Linux A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.<br><br>Get to Know Our Team<br><br>The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>This role is based in Gurgaon, India. <br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field8+ years of experience in software engineering with a minimum of 4+ years in MLGood experience in Pyspark Expert level understanding of Python with design patterns and object-oriented programming. Experience debugging and reasoning about production issues is desirable. A good understanding of data architecture principles preferred. Any other experience with Big Data technologies / tools SQL experience Analytical problem-solving capabilities & experience. Systems administration skills in Linux A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.<br><br>Get to Know Our Team<br><br>The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>This role is based in Gurgaon, India. <br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field8+ years of experience in software engineering with a minimum of 4+ years in MLGood experience in Pyspark Expert level understanding of Python with design patterns and object-oriented programming. Experience debugging and reasoning about production issues is desirable. A good understanding of data architecture principles preferred. Any other experience with Big Data technologies / tools SQL experience Analytical problem-solving capabilities & experience. Systems administration skills in Linux A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent.AI Lab Residency | Cairo, Egypt | 12 months About The Program The AI Resident will participate in Finaira’s 12-month Talent.<br>AI Lab Residency, contributing to real-world AI and digital FinTech initiatives under the guidance of experienced engineers and mentors.<br> The role combines handson development, technical research, experimentation, and problem-solving across AI domains including forecasting, agentic simulation, and retrieval.<br> Residents will complete two rotations, each focused on delivering practical contributions and proof-of-concepts while developing their technical and research capabilities.<br> How you'll shape your future Build on real agentic and retrieval systems: tool-constrained agents, simulation of operational procedures, chunking strategies, retrieval failure modes, and end-to-end RAG optimization Run R&amp;D on open problems: design evaluations, diagnose why a system fails, and test whether a newer technique holds up under real cost and latency constraints Read current literature and turn promising ideas into tested experiments rather than summaries Complete two rotations of five to six months, each ending in a shipped contribution and a proof-ofconcept Work with a discipline mentor for each rotation, reviewed at fixed checkpoints Your two-track pairing is assigned at the end of a five-week onboarding phase, based on cohort balance and observed strengths.<br> Your starting foundation Solid Python: you have written code someone else could run LLM and deep-learning fundamentals at working depth APIs, pipelines, and tooling: you can wire a system together • Prototyping with modern AI frameworks, end to end You read technical papers without handholding Version control and reproducible code as a habit Strong signals, none required: a retrieval or RAG project you can talk through, agent or tool-calling work including where it failed, an evaluation habit, applied ML or statistics grounding.<br> What are we looking for A senior student graduating in 2027 , or a graduate within one year of graduation Major : Computer Science, Computer Engineering, AI, Data Science, Communication and Networks Engineering, Business Informatics, or Actuarial Science.<br> Professional English: you will read papers and write technical documentation Commitment: Available for the full twelve months, starting October 2026.<br> Undergraduates: flexible hours around your timetable, minimum one on-site day per week.<br> Graduates: full-time on site with one remote day accommodated, on site throughout the first six months What you will get A dedicated mentor, and a portfolio of real contributions.<br> An optional track supports you toward publishing your research.<br> Residents who clear the bar at the final review move into defined graduation pathways.<br> Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment.<br> All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any status protected by the laws or regulations in the locations where we operate.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent.AI Lab Residency | Cairo, Egypt | 12 months About the program The Data Resident will participate in Finaira’s 12-month Talent.<br>AI Lab Residency, contributing to real-world data science and AI initiatives under the guidance of experienced engineers and mentors.<br> The role provides handson exposure to the full data and forecasting lifecycle, including data quality, feature engineering, statistical analysis, machine learning, forecasting, and behavioral segmentation.<br> Residents will conduct practical research, test new approaches, and deliver meaningful contributions through two structured rotations.<br> How you'll shape your future Work the full forecasting lifecycle on a live Finaira system: data quality, classical and deep-learning models, classification reformulation, and behavioral segmentation Run R&amp;D on open problems in the domain: benchmark newer forecasting methods honestly against established baselines and establish where they win Read current literature and turn promising ideas into tested experiments rather than summaries Complete two rotations of five to six months, each ending in a shipped contribution and a proof-ofconcept Work with a discipline mentor for each rotation, reviewed at fixed checkpoints.<br> Your two-track pairing is assigned at the end of a five-week onboarding phase, based on cohort balance and observed strengths.<br> Your starting foundation Solid Python: you have written code someone else could run Statistics, probability, and applied machine learning at working depth Data wrangling and feature work on real, messy data Comfort designing an experiment and evaluating it honestly You read technical papers without handholding Version control and reproducible code as a habit Strong signals, none required: time series work, clustering or segmentation on a real dataset, a thesis or reading group, exposure to LLM tooling.<br> What we are looking for A senior student graduating in 2027 , or a graduate within one year of graduation Major: Computer Science, Computer Engineering, AI, Data Science, Communication and Networks Engineering, Business Informatics, or Actuarial Science Professional English: you will read papers and write technical documentation Commitment: Available for the full twelve months, starting October 2026 Undergraduates: flexible hours around your timetable, minimum one on-site day per week.<br> Graduates: full-time on site with one remote day accommodated, on site throughout the first six months What you will get A dedicated mentor, and a portfolio of real contributions.<br> An optional track supports you toward publishing your research.<br> Residents who clear the bar at the final review move into defined graduation pathways.<br> Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment.<br> All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any status protected by the laws or regulations in the locations where we operate.<br></span> </div>

<p>At SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry. You ll find us in 95% of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don t just move the world forward we re proud to be recognized as a Great Place to Work by our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow. Are you ready to love your job? The adventure begins right here, with you, at SITA.</p><p>As Senior Security Analyst, you will perform advanced investigations and validation of security alerts and incidents to ensure accurate threat identification and effective response. You will play a key role in improving detection quality, monitoring effectiveness, and operational excellence across the Security Operations Center (SOC). You will be accountable for leading technical investigations, mentoring SOC Analysts, enhancing detection capabilities, and ensuring timely identification, analysis, escalation, and documentation of security incidents. Reporting to the Senior Manager, Service Operations, you will be part of the SOC Team, responsible for monitoring, detecting, investigating, and responding to cybersecurity threats across the enterprise while continuously improving SOC processes, tools, and capabilities.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>You have 3-5 years of experience as a SOC L2 Analyst or in an equivalent Security Operations role.</li><li>You possess advanced experience investigating security events using SIEM and EDR/XDR platforms, preferably Elastic, Cortex XDR, Microsoft Defender XDR, and CrowdStrike Falcon.</li><li>You have experience analyzing logs and telemetry from endpoints, identity platforms, cloud services, firewalls, proxies, DNS, VPN, and applications.</li><li>You have proven experience developing, tuning, and optimizing detection rules, correlation logic, and SOC use cases.</li><li>You demonstrate a strong understanding of the incident investigation, triage, escalation, and response lifecycle.</li><li>You are proficient in security query languages such as KQL, Lucene, EQL, and Sigma.</li><li>You have working knowledge of PowerShell and/or Python for security investigations, automation, and operational efficiency.</li><li>You possess solid knowledge of Windows, Linux, Active Directory, Microsoft 365, Azure/AWS, networking, and common attack techniques.</li><li>You have strong practical knowledge of the MITRE ATT&amp;CK framework and its application to detection engineering and security monitoring.</li><li>You hold a Bachelor's degree in Information Technology, Cybersecurity, Computer Science, or a related field, along with at least one recognized cybersecurity certification such as SC-200, GCIH, GCIA, CySA+, or ECIH.</li></ul><p><strong>NICE-TO-HAVE</strong></p><ul><li>Experience supporting Vulnerability Management activities, including vulnerability validation, risk prioritization, and remediation tracking.</li><li>Experience participating in cyber simulations, red-team exercises, tabletop exercises, and post-incident reviews.</li><li>Familiarity with security automation, orchestration technologies, and operational reporting for SOC performance metrics.</li></ul>

<p>Are you a detail-oriented engineer who thrives on breaking things not to cause chaos, but to build bulletproof software? We are looking for a Senior Software Engineer - Testing to join our quality engineering team in Cairo. In this role, you will be the guardian of our product s reliability, designing and executing robust test strategies across our core platforms. You will work closely with developers, product managers, and DevOps to ensure every release meets the highest standards of performance, security, and user experience. If you love automating complex scenarios, influencing code quality early, and mentoring others to think test-first, this is your opportunity to make a significant impact.</p><ul><li>Develop and maintain comprehensive test plans, test cases, and test scripts for both manual and automated testing.</li><li>Design and implement scalable automated test frameworks (e.g., Selenium, Playwright, Cypress, or similar) for web and API testing.</li><li>Perform functional, regression, integration, performance, and load testing on complex software systems.</li><li>Collaborate with software engineers to review code, identify potential defects, and improve testability of new features.</li><li>Drive a shift-left testing culture: participate in requirement analysis and design reviews to catch issues early.</li><li>Set up and manage CI/CD pipelines for automated test execution, ensuring fast and reliable feedback loops.</li><li>Investigate and report defects with clear reproduction steps, logs, and impact analysis. Track issues to closure.</li><li>Define quality metrics (defect density, test coverage, pass rates) and provide regular reports to stakeholders.</li><li>Mentor junior test engineers, conduct code reviews on test code, and promote best practices in test automation.</li><li>Stay up-to-date with industry trends in testing tools, methodologies, and quality assurance standards.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>5+ years of professional experience in software testing, with at least 2 years in a senior or lead testing role.</li><li>Strong proficiency in at least one programming language (Java, Python, JavaScript, or C#) for writing test automation.</li><li>Hands-on experience with test automation frameworks (e.g., Selenium, Appium, TestNG, JUnit, or Pytest).</li><li>Solid understanding of testing types: unit (with dev teams), integration, end-to-end, smoke, and performance testing.</li><li>Experience with API testing tools (Postman, REST Assured, or similar).</li><li>Proficiency with version control (Git) and CI/CD tools (Jenkins, GitLab CI, GitHub Actions, or Azure DevOps).</li><li>Excellent analytical and problem-solving skills, with a meticulous eye for detail.</li><li>Strong communication skills in English (written and verbal) for cross-team collaboration.</li><li>Bachelor s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).</li><li>Experience with performance testing tools like JMeter or k6.</li><li>Familiarity with containerization (Docker) and orchestration (Kubernetes) for test environments.</li><li>ISTQB Advanced Level certification or similar QA certifications.</li><li>Experience testing mobile applications (iOS/Android) or cloud-based services (AWS, GCP, Azure).</li><li>Previous experience in agile/scrum environments with a focus on continuous improvement.</li></ul>

<p><br></p> <div> <div> WHAT YOU WILL BE DOING <div> <div> <div> <ul> <li> <p>Lead the FPGA firmware architecture for Dragonfly, defining the optimal partitioning of signal processing across FPGA, GPU, and CPU to meet mission latency, throughput, and SWaP requirements.</p> </li> <li> <p>Migrate GPU-based digital signal processing algorithms into efficient FPGA implementations, including floating-to-fixed point conversion, quantization analysis, word-length optimization, and bit-accurate verification.</p> </li> <li> <p>Design reusable, portable FPGA IP that supports multiple AMD/Xilinx platforms including RFSoC, Versal, UltraScale+, and Zynq.</p> </li> <li> <p>Develop real-time FPGA implementations for advanced RF signal processing including digital down conversion, filtering, FFTs, channelization, synchronization, demodulation, and protocol exploitation.</p> </li> <li> <p>Implement and optimize wireless protocol processing for technologies such as Wi-Fi, Bluetooth/BLE, LoRa, LTE, and 5G NR.</p> </li> <li> <p>Develop FPGA capabilities supporting direction finding (DF), beamforming, geolocation, and multi-channel phase-coherent signal processing.</p> </li> <li> <p>Establish FPGA verification methodologies including simulation, automated regression testing, timing closure, hardware validation, and over-the-air testing.</p> </li> <li> <p>Support hardware bring-up, integration, production validation, and field testing of Dragonfly systems.</p> </li> <li> <p>Serve as the technical authority for FPGA firmware and DSP architecture, conducting design reviews, mentoring engineers, and establishing engineering best practices.</p> </li> <li> <p>Contribute to product roadmap development, customer engagements, technical proposals, IRAD efforts, and emerging EW/SIGINT capability development.</p> </li> </ul> </div> </div> </div> </div> </div> <div> <div> WHAT YOU HAVE DONE <div> <div> <div> <ul> <li> <p>Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field; Master's or PhD preferred.</p> </li> <li> <p>10+ years of FPGA development experience supporting RF, SDR, SIGINT, radar, wireless communications, or Electronic Warfare systems.</p> </li> <li> <p>Demonstrated ownership of FPGA architecture from concept through deployed production systems.</p> </li> <li> <p>Active Secret clearance required; ability to obtain or maintain TS/SCI preferred.</p> </li> <li> <p>Expert proficiency with VHDL and/or SystemVerilog, RTL design, pipelining, finite state machines, clock domain crossing, and timing closure.</p> </li> <li> <p>Extensive experience with AMD/Xilinx development tools including Vivado, Vitis, Vitis HLS, and RFSoC or Versal platforms.</p> </li> <li> <p>Strong background in digital signal processing including FFTs, digital down/up conversion, FIR/IIR/CIC filters, multirate processing, fixed-point design, CORDIC, and AGC.</p> </li> <li> <p>Experience implementing high-speed interfaces including AXI, PCIe, Ethernet, DDR memory, Aurora, and JESD204B/C.</p> </li> <li> <p>Proficiency with MATLAB and/or Python for algorithm development and hardware verification, along with C/C++ development in Linux environments.</p> </li> <li> <p>Experience with FPGA simulation, debugging, board bring-up, and RF laboratory validation using industry-standard tools.</p> </li> <li> <p>Familiarity with Git, Agile development methodologies, and cross-functional hardware/software engineering teams.</p> </li> </ul> </div> </div> </div> </div> </div> <div> <div> EVEN BETTER <div> <div> <div> <ul> <li> <p>Experience developing CUDA or GPU-based DSP algorithms and migrating them to FPGA implementations.</p> </li> <li> <p>Experience implementing beamforming, direction finding, geolocation, MUSIC/ESPRIT, TDOA, or FDOA algorithms.</p> </li> <li> <p>Knowledge of LTE, 5G NR, Wi-Fi, Bluetooth/BLE, LoRa, or other modern communications waveforms.</p> </li> <li> <p>Experience with High-Level Synthesis (HLS), Simulink, MATLAB HDL Coder, or Model Composer.</p> </li> <li> <p>Familiarity with RFNoC, GNU Radio, OpenCPI, SOSA, or CMOSS architectures.</p> </li> </ul> </div> </div> </div> </div> </div> <div> <div><br></div></div><div> </div>

<p> <strong>Position:</strong> DevOps Engineer</p> <p> <strong>Organization:</strong> Blu Ev</p> <p>Blu EV, Orascom Investment Holdings e-mobility subsidiary, is reshaping urban transportation. Through its Battery-as-a-Service (BaaS) platform, Blu EV enables quick battery swaps, vehicle conversions, and access to electric mobility for individuals and fleets. With a vision toward a full Mobility-as-a-Service (MaaS) model, Blu EV is accelerating the transition to sustainable, connected, and affordable mobility solutions.<br> <strong>Website</strong>: www.blu-ev.com </p> <p> <strong>Job Description:</strong> </p> <p>We are looking for a <strong>DevOps Engineer</strong> to join Blu EV's Technology team and help build, automate, and secure the infrastructure and software delivery pipelines powering our growing e-mobility ecosystem. You will work closely with Development, QA, and Security teams to ensure reliable, secure, and efficient software delivery across our cloud and infrastructure environments.</p> <p> <strong>Key Responsibilities</strong> </p> <ul> <li>Design, implement, and maintain <strong>CI/CD pipelines</strong>, integrating automated testing and security checks.</li> <li>Build and manage infrastructure using <strong>Infrastructure as Code (IaC)</strong> tools such as Terraform or Ansible.</li> <li>Automate deployment, monitoring, maintenance, and other repetitive operational processes.</li> <li>Embed security practices across the <strong>software development lifecycle</strong>, including SAST, DAST, SCA, and container scanning.</li> <li>Deploy, manage, and secure cloud environments across <strong>AWS, Azure, or GCP</strong>.</li> <li>Manage secrets, identity, access controls, and security configurations using appropriate tools and best practices.</li> <li>Support and secure <strong>Docker and Kubernetes</strong> environments, including image scanning, RBAC, and network policies.</li> <li>Implement and maintain <strong>monitoring, logging, and SIEM solutions</strong> to identify and respond to reliability and security issues.</li> <li>Support vulnerability management, patching, incident response, and root cause analysis.</li> <li>Manage software releases, deployments, rollback procedures, and configuration/version control.</li> <li>Support security audits, compliance requirements, and infrastructure security standards.</li> <li>Collaborate with Development, QA, Security, and business teams to improve DevOps processes, reliability, and security.</li> </ul> <p> <strong>Requirements</strong> </p> <ul> <li>Bachelor's degree in <strong>Computer Science, Software Engineering, Information Technology</strong>, or a related field.</li> <li> <strong>2 4 years of experience</strong> in DevOps, DevSecOps, or software operations.</li> <li>Strong experience administering <strong>Linux and Windows</strong> environments.</li> <li>Strong scripting skills in <strong>Bash, Python, or Ruby</strong>.</li> <li>Hands-on experience with <strong>Git</strong> and CI/CD tools such as GitLab CI/CD, Jenkins, Azure Pipelines, Bitbucket, or similar.</li> <li>Practical experience with <strong>Docker and Kubernetes</strong>, including security considerations.</li> <li>Experience with <strong>Terraform, Ansible, Chef, Puppet</strong>, or similar configuration management/IaC tools.</li> <li>Experience with monitoring and logging tools such as <strong>Datadog, Prometheus, Grafana, ELK Stack, Azure Monitor</strong>, or similar.</li> <li>Solid understanding of <strong>cloud security, networking, IAM, and CI/CD security practices</strong>.</li> <li>Hands-on experience with security tools such as <strong>SonarQube, Fortify, Snyk, OWASP ZAP</strong>, or equivalent SAST/DAST/SCA tools.</li> <li>Experience deploying and securing applications on at least one major cloud platform: <strong>AWS, Azure, or GCP</strong>.</li> <li>Familiarity with <strong>Agile and DevOps methodologies</strong>.</li> <li>Strong communication, problem-solving, analytical, and prioritization skills.</li> <li>Strong attention to detail and ability to assess the potential impact of infrastructure, security, and release changes.</li> </ul>

<p><b>Job Summary</b></p><p>The Optics Application Engineer is responsible for leveraging engineering domain knowledge and expertise to assist customers in solving complex engineering problems using Ansys Zemax OpticStudio software. This role focuses primarily on pre-sales activities but also involves providing technical support. The engineer will support customers to significantly impact software revenue, offering technical solutions, conducting demonstrations, and delivering training sessions</p><p>Duties and Responsibilities:</p><p>To perform this job successfully, an individual must be able to perform each of the following essential duties and responsibilities satisfactorily.</p><ul><li>Apply advanced engineering expertise and knowledge of optics (with a strong focus on Ansys Zemax) to provide the highest level of technical support to customers and channel partners, ensuring high-quality, timely customer service that results in improved customer satisfaction and productivity.</li><li>Work closely with potential and current customers to scope technical solutions that meet and optimize their operational needs</li><li>Collaborate with account managers to identify, advance, and technically drive new opportunities and sustained account support</li><li>Provide, track, and document first level technical support for existing customer accounts and elevate support when appropriate</li><li>Develop, organize, and deliver introductory technical training courses on the use of ANSYS Optics products</li><li>Maintain a general understanding of the breadth of technology provided by all ANSYS product offerings and technical solutions in optical applications</li><li>Sustain technical proficiency through ANSYS certifications and continual pursuit of personal, technical, and professional growth</li><li>Participate in and support internal marketing initiatives that drive customer engagement, education, and grow technical capacity</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Requires a Minimum Master of Science Degree in Physical/Optical Engineering or related field</li><li>Requires a Minimum of 2 yearsu2019 experience using ANSYS Zemax Optics Studio and/or Speos/Lumerical.</li><li>Knowledge of Geometrical Ray tracing and Physical wave optics.</li><li>Requires Strong Knowledge of Optical Design for Automotive Camera sensor-related applications or Optical Imaging in Aerospace and Defense market.</li><li>Knowledge in 3D CAD design tools</li><li>Experience with optical system optimization to achieve desired performance metrics</li><li>Experience with designing and analysing laser systems, including beam shaping and focusing</li><li>Knowledge of optical aberrations and methods to minimize them</li><li>Requires the ability to work effectively in both independent and diverse team environments</li><li>Requires excellent problem-solving skills and ability to develop practical engineering solutions to difficult problems</li><li>Requires exceptional customer service aptitude, as well as communication and presentation skills</li><li>Proficiency with Microsoft Office tools to include PowerPoint, Word, and Excel is required</li><li>In-depth use of relevant Ansys software or knowledge of other commercial CAE, CAD, PLM software packages</li><li>Understanding of light source modelling and light distribution control</li><li>Familiarity with beam propagation and diffraction analysis</li><li>Familiarity with common programming languages (C, C++, Python, Matlab, etc.) is a plus</li></ul>

<p>We are seeking an experienced Full-Stack Software Architect / Lead Developer to design, architect, and build a scalable, custom enterprise solution combining ERP (Enterprise Resource Planning) and CRM (Customer Relationship Management) functionality. In this role, you will own the technical architecture and core development of our all-in-one platform, from database design and API integrations to business logic workflows and secure, intuitive user interfaces. The ideal candidate has a proven track record of architecting enterprise-level software, deeply understands core ERP modules (accounting, inventory, HR, order management), and knows how to build seamless CRM pipelines.</p><p>Responsibilities</p><ul><li><strong>Architecture &amp; System Design:</strong> Design and build a modular, scalable, and secure architecture for an integrated ERP + CRM system. Define data models, database schemas, and microservice/monolithic system boundaries optimized for business-critical processes. Plan for long-term maintainability, data integrity, high availability, and role-based access control (RBAC).</li><li><strong>Development &amp; Engineering:</strong> Write clean, maintainable, and well-documented code across backend services, APIs, and frontend interfaces. Develop core CRM modules: Lead tracking, sales pipelines, customer management, automated communication workflows, and analytics. Build core ERP modules: Financial management/accounting, order fulfillment, inventory management, supply chain tracking, and reporting. Implement robust third-party integrations (payment gateways, e-commerce platforms, email/communication APIs, external analytics).</li><li><strong>Performance &amp; Security:</strong> Ensure strict data security, compliance, and end-to-end audit logging for sensitive financial and customer data. Optimize database queries, API performance, and background job processing for high throughput.</li><li><strong>Project Execution:</strong> Translate complex business requirements and operational workflows into technical specifications and features. Establish CI/CD pipelines, automated testing, and cloud infrastructure deployment standards.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>7+ years of hands-on experience in full-stack software development. Proven track record: Must have designed and delivered at least one complex custom ERP or CRM system from scratch (or heavily customized open-source ERP engines like Odoo, ERPNext, etc.). Deep understanding of complex business processes, including double-entry accounting logic, inventory forecasting, multi-currency handling, and sales pipeline management. Backend: Mastery in backend languages and frameworks (e.g., PHP/Laravel, Node.js/TypeScript, Python/Django, .NET Core, or Java/Spring Boot). Frontend: Proficiency in modern frontend frameworks (e.g., React, Vue.js, or Angular). Databases: Advanced expertise in relational databases (PostgreSQL, MySQL, SQL Server) with strong transactional integrity guarantees (ACID). API Design: Deep experience designing RESTful APIs or GraphQL endpoints. Security: Strong foundation in OAuth2/JWT, RBAC (Role-Based Access Control), field-level permissions, and data encryption. DevOps &amp; Cloud: Familiarity with Docker, Kubernetes, AWS/Azure/GCP, and CI/CD automation pipelines. Experience with open-source ERP frameworks (Odoo, ERPNext, Metasfresh) or standard enterprise CRM platforms (Salesforce, HubSpot APIs). Experience with real-time data processing, webhooks, or event-driven architectures (Kafka, RabbitMQ, Redis).</p>

<p><strong>1.Job Summary</strong></p><p>We are looking for an <strong>AI transformation lead </strong>to design, develop, and deploy AI and analytics solutions using enterprise data extracted from Oracle Fusion Cloud and Oracle Databases.</p><p>The role focuses on transforming Oracle business data into predictive models, insights, and decision-support tools that add real business value across Finance, HR, Sales, and Operations.</p><p>The vacancy will be <strong>offshore </strong>based in favor of <strong>Samir Group - KSA</strong><br></p><p><strong>2.Key Responsibilities:</strong></p><p><strong>Solution Design and Development</strong></p><ul><li><p>Design, implement, and maintain AI/ML models (e.g., forecasting, classification, recommendation, NLP) using enterprise data sourced from Oracle Fusion and Oracle DB.</p></li><li><p>Develop robust data pipelines to extract, transform, and load (ETL) data from Oracle Fusion Cloud (ERP, HCM, SCM, CX, Finance) and on-premise/cloud Oracle Databases into AI platforms and analytics environments.</p></li><li><p>Build APIs, microservices, or other service layers to expose AI models to internal systems, portals, and mobile applications.</p></li></ul><p><strong>Data and Model Management</strong></p><ul><li><p>Perform data preparation, cleansing, and feature engineering to ensure high-quality input for AI models.</p></li><li><p>Evaluate, tune, and retrain models to improve accuracy, performance, and stability.</p></li><li><p>Implement monitoring, logging, and version control for models, datasets, and code.</p></li></ul><p><strong>Collaboration and Governance</strong></p><ul><li><p>Work closely with business stakeholders (Finance, HR, Sales, Operations, etc.) to translate business problems into AI use cases and technical specifications.</p></li><li><p>Collaborate with DBAs, Oracle functional consultants, and integration teams to ensure end-to-end alignment of AI solutions with existing architecture.</p></li><li><p>Ensure adherence to information security, data privacy, and regulatory requirements in all AI solutions.</p></li></ul><p><strong>Documentation and Support</strong></p><ul><li><p>Prepare comprehensive technical documentation, including design documents, data dictionaries, and deployment guides.</p></li><li><p>Provide knowledge transfer to operations and support teams and assist in incident analysis related to AI components.</p></li></ul><p></p><p><strong>Requirements</strong></p><p><strong>Qualifications (Education &amp; Experience)</strong></p><ul><li><p>Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline.</p></li><li><p>A master's degree in a relevant field is an advantage.</p></li><li><p>3–7 years of experience in software development, data science, or AI/ML engineering.</p></li><li><p>Proven experience working with Oracle Database (SQL, PL/SQL, performance tuning, views, materialized views) is a plus.</p></li><li><p>Experience with MCP (Model Context Protocol), CrewAI, LlamaIndex, Kafka, Redis, Kubernetes, and Azure OpenAI.</p></li><li><p>Experience delivering AI solutions for Finance, Supply Chain, Sales, HR, or Customer Service.</p></li></ul><ul><li><p>Strong programming skills in Python (preferred) and familiarity with R, Java, or similar languages.</p></li><li><p>Hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</p></li><li><p>Solid understanding of data modelling, relational databases, and performance optimization.</p></li><li><p>Experience building and deploying RESTful APIs or microservices (e.g., Flask, FastAPI, .NET, or Java frameworks).</p></li><li><p>Familiarity with cloud platforms (OCI, Azure, AWS, or GCP) for AI workloads is an advantage.</p></li><li><p>Knowledge of CI/CD, Git, and DevOps practices for AI/M</p></li></ul><p></p>

<p>Contribute to analog/mixed-signal electrical characterization activities for cutting-edge optical transceiver products, supporting the team from first-silicon bring-up through production readiness under the guidance of senior engineers. Develop characterization test plans, coverage matrices, test procedures, and acceptance criteria for high-speed electrical interfaces, analog front-end blocks, clocking, control loops, and mixed-signal product features. Build, debug, and maintain lab characterization setups using oscilloscopes, BER testers, signal generators, VNAs, power supplies, source meters, thermal equipment, FPGA boards, and custom evaluation hardware. Develop and maintain automated test software, scripts, and data-analysis flows to improve characterization efficiency, repeatability, coverage, and reporting quality. Perform detailed measurements across process, voltage, temperature, frequency, power, and operating-mode corners; analyze product margins and correlate lab results with design expectations and simulation targets. Identify optimal trimming, calibration, register-control, and operating ranges needed to meet product performance, yield, reliability, and manufacturability targets. Support electrical-side product bring-up and debug activities, help isolate root causes of unexpected behavior, and work with design, systems, firmware, packaging, optical, test, and manufacturing teams to drive closure. Generate clear characterization reports, limit recommendations, production-readiness summaries, and technical documentation to support product qualification and transfer to manufacturing. Contribute to continuous improvement of characterization methodologies, automation infrastructure, data logging, and AI-enabled productivity workflows.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or a closely related discipline from a reputable university; Master's degree is a plus.</li><li>Strong fundamentals in analog, mixed-signal, and high-speed electrical circuits, with interest in optical transceivers, SerDes-style interfaces, clocking, data converters, drivers, TIAs, regulators, and control/calibration loops.</li><li>Hands-on mindset with demonstrated passion for both hardware and software, including lab setup development, measurement automation, debugging, and data-driven engineering decisions.</li><li>Experience or strong working knowledge of lab instrumentation used for electrical characterization, such as oscilloscopes, BER testers, signal generators, VNAs, power supplies, source meters, and thermal control equipment.</li><li>Programming or scripting capability for automation, data analysis, and test development using languages such as Python, MATLAB, C/C++, or similar.</li><li>Knowledge of FPGA interfacing, embedded control, register access, digital communication interfaces, or hardware bring-up is highly desirable.</li><li>Ability to analyze large characterization datasets, extract meaningful trends, define limits or trimming ranges, and communicate conclusions through clear reports and technical presentations.</li><li>Comfortable using modern AI-enabled productivity tools responsibly to accelerate coding, documentation, data analysis, and workflow automation.</li><li>Critical thinker with strong problem-solving skills, attention to detail, ownership mindset, and ability to work effectively in a fast-paced, cross-functional engineering environment.</li><li>Good written and verbal communication skills, with the ability to collaborate across design, validation, firmware, systems, test, and manufacturing teams.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Objective To safeguard organizational assets and ensure business resilience by leading proactive security monitoring, incident response, threat mitigation, and continuous improvement of cybersecurity operations. Environment Internal : GEPD management, plasma procurement, manufacturing, sales, finance, logistics and procurement. External : Vendors and governmental authorities. Key responsibility - Lead and coordinate security monitoring, threat detection, and incident response activities across IT and OT environments. - Protect industrial control systems and critical operational assets through continuous monitoring, threat analysis, and risk mitigation. - Monitor the security posture of industrial control systems (ICS), SCADA networks, and critical operational assets, identifying and escalating risks as required. - Prepare and present security reports, incident analyses, risk assessments, and operational metrics to management and key stakeholders. - Assess, prioritize, and track remediation of security vulnerabilities and control gaps within IT and OT environments. - Develop, maintain, and improve security monitoring use cases, detection rules, incident response playbooks, and operational procedures if required. - Collaborate with internal stakeholders and external partners to strengthen cyber resilience and ensure secure business operations. - Enhance security operations capabilities through process improvement, threat intelligence integration, and operational excellence. - Support compliance, audit, and regulatory requirements related to cybersecurity and critical infrastructure protection. Computing Skills Scripting and automation using Python, PowerShell, or Bash. Personal Skills Excellent verbal and written communication skills. Ability to multi-task in a fast paced, high-pressure environment. Quick Learner. Ability to interact effectively with employees at all levels. Strong attention to detail Strong analytical thinking skills Languages Excellent written and spoken English and Arabic</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Academic experience required</h2><p>Bachelor's degree in computer science, Computer/Communication Engineering, Information Security or similar field</p><h2>Professional Experience Required</h2><ul><li>5+ years of experience in cybersecurity, with 3+ years in a SOC or incident response role</li><li>Hands-on experience in (SIEM) platforms specially Splunk and log analysis.</li><li>Stronge knowledge of Endpoint Detection and Response (EDR/XDR) technologies.</li><li>Stronge knowledge of Security monitoring, threat detection, and incident response.</li><li>Good knowledge of Network security fundamentals, including TCP/IP, firewalls, IDS/IPS, VPNs, and network protocols.</li><li>Good knowledge of Windows and Linux system administration and security.</li><li>Good knowledge of Vulnerability assessment and remediation management.</li><li>Stronge knowledge of Cyber threat intelligence analysis and threat hunting techniques.</li><li>Stronge knowledge of Security incident investigation, root cause analysis, and digital forensics fundamentals.</li><li>Good knowledge of Identity and Access Management (IAM) and Active Directory security.</li><li>Good knowledge Cloud security concepts and monitoring for enterprise cloud environments.</li><li>Knowledge of Operational Technology (OT), Industrial Control Systems (ICS), and SCADA security monitoring are highly preferred.</li><li>Stronge knowledge of Security tool administration and tuning, including detection rule development.</li><li>Stronge knowledge of Security reporting, dashboard development, and data analysis.</li><li>Hands-on experience of at least two of the cybersecurity frameworks and standards below such as: NIST Cybersecurity Framework ISO/IEC 27001 IEC 62443 MITRE ATT&amp;CK</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Role Summary</b> We are seeking an experienced IT Operations Engineer to design, implement, automate, and support enterprise IT infrastructure and operations. The ideal candidate will have expertise in infrastructure automation, configuration management, virtualization, cloud infrastructure, monitoring, and log management to ensure the availability, scalability, security, and performance of enterprise systems.</p><p>Key Responsibilities</p><ul><li>Design, deploy, and maintain enterprise IT infrastructure across on-premises and cloud environments.</li><li>Automate infrastructure provisioning, configuration, and deployment processes.</li><li>Monitor system health, performance, and availability using enterprise monitoring and logging solutions.</li><li>Manage virtualization and private cloud environments.</li><li>Perform infrastructure troubleshooting, root cause analysis, and incident resolution.</li><li>Implement Infrastructure as Code (IaC) and configuration management best practices.</li><li>Collaborate with DevOps, Cloud, Security, and Application teams to ensure reliable system operations.</li><li>Maintain backup, disaster recovery, and high availability solutions.</li><li>Ensure compliance with enterprise security, governance, and operational standards.</li><li>Prepare operational documentation, runbooks, and technical procedures.</li></ul><p>Must-Have Skills</p><ul><li>Hands-on experience with ELK Stack OR Elasticsearch for log management, monitoring, and observability.</li><li>Experience with Terraform OR Ansible for Infrastructure as Code (IaC) and configuration management.</li><li>Experience with VMware vCenter OR OpenStack for virtualization and private cloud infrastructure.</li><li>Strong knowledge of Linux and Windows Server administration .</li><li>Experience with Shell Scripting OR Python for infrastructure automation.</li><li>Understanding of networking fundamentals, including TCP/IP, DNS, DHCP, VPN, and Load Balancing.</li><li>Experience with system monitoring, performance tuning, and incident management.</li><li>Strong troubleshooting, analytical, and problem-solving skills.</li></ul><p>Good to Have</p><ul><li>Experience with Docker OR Kubernetes .</li><li>Experience with cloud platforms such as Microsoft Azure OR AWS OR Google Cloud Platform (GCP) .</li><li>Knowledge of Prometheus OR Grafana OR Zabbix for infrastructure monitoring.</li><li>Experience with Git and CI/CD pipelines.</li><li>Familiarity with ITIL processes and service management practices.</li><li>Understanding of security hardening, identity management, and compliance frameworks.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Information Systems, or a related field.</li><li>6 0+ years of experience in IT Operations, Infrastructure Engineering, Systems Administration, Platform Engineering, or Cloud Operations.</li></ul><p>Preferred Skills</p><ul><li>Experience managing enterprise-scale infrastructure and hybrid cloud environments.</li><li>Strong understanding of automation-first operational practices.</li><li>Experience working in Agile, DevOps, or Site Reliability Engineering (SRE) environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize infrastructure for high availability, scalability, security, and operational efficiency.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's or Master's degree in Computer Science, Information Technology, Information Systems, or a related field.</p><p>6 0+ years of experience in IT Operations, Infrastructure Engineering, Systems Administration, Platform Engineering, or Cloud Operations.</p><p>Preferred Skills</p><ul><li>Experience managing enterprise-scale infrastructure and hybrid cloud environments.</li><li>Strong understanding of automation-first operational practices.</li><li>Experience working in Agile, DevOps, or Site Reliability Engineering (SRE) environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize infrastructure for high availability, scalability, security, and operational efficiency.</li></ul><p></p></section>

<p>Are you ready to kickstart your career in the dynamic world of technology? We're seeking an enthusiastic and driven <strong>IT Intern</strong> to join our innovative team in <strong>Cairo, Egypt</strong>! This is an unparalleled opportunity for a budding talent to dive deep into real-world projects and gain invaluable experience across various facets of IT and software development. If you're passionate about technology and eager to learn, this is the place for you!</p><p><strong>Overview:</strong></p><p>As an IT Intern, you will be at the forefront of technological innovation, working on-site to support our robust systems and contribute to exciting new developments. This full-time internship is designed to immerse you in a professional environment where your skills will grow exponentially, making a tangible impact from day one. You'll gain hands-on experience in software development, IT infrastructure, and cutting-edge engineering solutions within the telecom and technology sectors.</p><p><strong>Responsibilities:</strong></p><ul><li><strong>Assist in Software Development:</strong> Contribute to various stages of the software development lifecycle, from coding and testing to deployment and maintenance.</li><li><strong>Support IT Operations:</strong> Provide essential support for IT infrastructure, ensuring smooth and efficient system performance.</li><li><strong>Engage in Problem Solving:</strong> Collaborate with experienced engineers to diagnose and resolve technical issues, enhancing your problem-solving abilities.</li><li><strong>Learn and Implement:</strong> Actively participate in learning new technologies and applying them to practical projects.</li><li><strong>Document Processes:</strong> Help create and maintain documentation for systems and procedures, fostering clear communication and knowledge sharing.</li><li><strong>Collaborate with Teams:</strong> Work closely with cross-functional teams, gaining exposure to different engineering and IT disciplines.</li></ul><p><strong>Skills &amp; Technologies:</strong></p><p>You'll have the chance to apply and expand your knowledge in <strong>Computer Science</strong>, <strong>Information Technology (IT)</strong>, <strong>Software Development</strong>, and <strong>Software Engineering</strong>. We value a solid foundation in these areas and an eagerness to master tools like <strong>Python</strong>, <strong>Java</strong>, and foundational concepts in <strong>Networking Basics</strong> and <strong>Version Control (Git)</strong>.</p><p><strong>Growth Opportunities:</strong></p><p>This internship is a launchpad for your career! You'll receive mentorship from seasoned professionals, work on challenging projects, and have access to resources that will accelerate your learning curve. We are committed to nurturing talent and providing a clear path for professional development in a supportive environment.</p><p><strong>Team &amp; Culture:</strong></p><p>Join a vibrant and inclusive team that thrives on collaboration, innovation, and continuous learning. Our culture encourages curiosity, celebrates achievements, and supports every team member in reaching their full potential. You'll be part of a community that values your contributions and invests in your growth.</p><p><strong>Impact:</strong></p><p>Your work will directly contribute to the efficiency and success of our IT and engineering projects, impacting our operations and technological advancements within the telecom and technology industries. This is your chance to make a real difference and build a portfolio of meaningful work.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br> <strong>Overview</strong> <p>We are seeking an experienced Network Engineer with a<strong> strong background in data center, hosting, and cloud networking</strong>. The ideal candidate will have<strong> 3 5 years of hands-on experience in network engineering</strong> and <strong>at least 1 2 years in web or cloud hosting environments.</strong> This role requires advanced troubleshooting abilities, strong customer communication, and the ability to work in a dynamic, SLA-driven environment.<br> </p> <strong>Key Responsibilities</strong> <strong>Networking Operations</strong> <ul> <li> <p>Manage and maintain enterprise-grade network environments across data center, hosting, and cloud infrastructures.</p> </li> <li> <p>Configure, deploy, and troubleshoot routing protocols including BGP, OSPF, and MPLS.</p> </li> <li> <p>Implement and support VPN technologies such as IPSec, SSL, GRE, site-to-site, and remote access VPNs.</p> </li> <li> <p>Work with switching technologies, including STP, EtherChannel, and VXLAN.</p> </li> <li> <p>Perform network segmentation, optimization, and security hardening.</p> </li> </ul> <strong>Hosting &amp; Data Center Networking</strong> <ul> <li> <p>Administer DNS services (Bind, PowerDNS, Anycast).</p> </li> <li> <p>Manage hosting protocols, including HTTP(S), SMTP, and FTP/SFTP in production environments.</p> </li> <li> <p>Configure and maintain load balancers such as Nginx, HAProxy, or hardware-based LB (F5, Citrix).</p> </li> <li> <p>Support multi-tenant environments with isolated client networking.</p> </li> </ul> <strong>Cloud Networking</strong> <ul> <li> <p>Design and manage VPCs, subnets, peering, NAT gateways, and VPN gateways.</p> </li> <li> <p>Work with cloud networking tools across AWS, Azure, VMware NSX, or similar.</p> </li> <li> <p>Support hybrid connectivity between on-prem and cloud infrastructures.</p> </li> </ul> <strong>Network Security</strong> <ul> <li> <p>Administer enterprise firewalls, including Cisco ASA/FTD, Fortinet, Palo Alto, etc.</p> </li> <li> <p>Support DDoS mitigation strategies and basic WAF implementation.</p> </li> <li> <p>Configure IDS/IPS tools and participate in security monitoring and triage.</p> </li> <li> <p>Apply Zero-Trust principles and segmentation strategies.</p> </li> </ul> <strong>Automation &amp; Monitoring</strong> <ul> <li> <p>Create scripts and automation using Python, Bash, or Ansible.</p> </li> <li> <p>Manage monitoring and event systems such as Zabbix, Nagios, Grafana, ELK, etc.</p> </li> <li> <p>Build reporting dashboards and proactive alerting systems.</p> </li> </ul> <strong>Troubleshooting &amp; Support</strong> <ul> <li> <p>Perform deep-dive diagnostics using packet captures, traceroute, Wireshark, etc.</p> </li> <li> <p>Handle Level 3 escalations from NOC and customer operations.</p> </li> <li> <p>Work within 24/7 operations, rotation, and shift-based schedules.</p> </li> </ul> <strong>Required Skills &amp; Qualifications</strong> <ul> <li> <p> <strong>Experience:</strong> 3 5 years in networking, with exposure to hosting or cloud-based environments.</p> </li> <li> <p> <strong>Certifications:</strong> <br>One or more of the following is required:</p> <ul> <li> <p>CCNA R&amp;S (EI), CCNP R&amp;S (EI)</p> </li> <li> <p>CCNA DC, CCNP DC</p> </li> <li> <p>JNCIA-Junos, JNCIS-ENT/SP, JNCIP-ENT</p> </li> </ul> </li> <li> <p> <strong>Vendor Experience:</strong> <br>Hands-on experience with:</p> <ul> <li> <p>Cisco Catalyst &amp; Nexus</p> </li> <li> <p>Juniper EX / QFX / MX series<br>Preferred experience with:</p> </li> <li> <p>Arista or Mellanox data center switches</p> </li> </ul> </li> </ul> <strong>Soft Skills</strong> <ul> <li> <p>Strong English communication skills, especially for client-facing roles.</p> </li> <li> <p>Ability to explain complex network issues to technical and non-technical stakeholders.</p> </li> <li> <p>Strong documentation skills for configurations, SOPs, and incident reporting.</p> </li> <li> <p>Team player, adaptable, and comfortable working in a fast-paced hosting ecosystem.</p> </li> <li> <p>Ability to work across multiple time zones.</p> </li> </ul> <strong>Work Environment</strong> <ul> <li> <p>Global hosting and cloud infrastructure environment.</p> </li> <li> <p>SLA-driven operations with direct customer impact.</p> </li> <li> <p>Positive and collaborative international culture with strong team support.</p> </li> </ul></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <b>Line of Service</b> </p>Advisory<p> </p> <p> <b>Industry/Sector</b> </p>Technology<p> </p> <p> <b>Specialism</b> </p>Advisory - Other<p> </p> <p> <b>Management Level</b> </p>Senior Manager<p> </p> <p> <b>Job Description &amp; Summary</b> </p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.<br> <br>Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.<p> </p> <p> </p> <p>Creating technical architectures and choosing ideal tools &amp; technologies - Developing and implementing AI models and algorithms - Planning for the integration of newly created solutions into the existing ecosystem - Translating the suggestions of stakeholders and BAs into technical language by elaborating the vision of the project - Work closely with security and risk leaders to foresee and overturn risks - Collaborate with data scientists and AI professionals to augment digital transformation efforts - Keep up to date with new technologies and solutions that can add value</p> <p> </p> <p> <b>Requirements</b>:</p> <p>- Degree in Computer Science or related field</p> <p>- Minimum 12+ years of experience in Applied AI Solution Architecture</p> <p>- Proficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorch</p> <p>- Experience with programming languages such as Python, Java, and C++ - Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud - Experience with big data technologies such as Hadoop and Spark - Knowledge of data warehousing and ETL tools</p> <p>- Excellent problem solving and communication skills - Ability to work independently as well as in a team - Ability to handle customer queries and provide timely solutions</p> <p> </p> <p> <b>Preferable </b>: To have a minimum of a master s degree in computer science, data science or an AI-related discipline. You will need a proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis. You will also need to be familiar with a whole host of other approaches used in practical applications of machine learning.</p> <p> </p> <p> <b>Whole leadership </b>: The ability to lead yourself and others to make a difference and create a positive impact in a responsible, authentic, resilient, inclusive and passionate manner.</p> <p> <b>Global acumen: </b>The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives.</p> <p> <b>Technical and Digital :</b> Focus on fast growing technologies and how to make use of them towards digital transformation.</p> <p> <b>Business acumen: </b>The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC. <b>Relationships:</b> The ability to build relationships of high value which are genuine and meaningful</p> <p> </p> <p> </p> <p> </p> <p> </p> <p><br></p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div> <div> <div> <b>Join Us</b> </div> <div> <p>At Vodafone, we re not just shaping the future of connectivity for our customers we re shaping the future for everyone who joins our team. When you work with us, you re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> </div> </div> <div> <div> <b>What you ll do</b> </div> <div> <ul> <li>Lead end-to-end delivery of application development and business applications projects.</li> <li>Oversee custom application development, CRM implementations, and workflow automation initiatives.</li> <li>Ensure projects are delivered on time, within budget, and to agreed quality standards.</li> <li>Govern scope, schedules, dependencies, and resource allocation.</li> <li>Monitor project financials, utilization, and profitability.</li> <li>Ensure adherence to architecture, coding, security, and integration standards.</li> <li>Review solution designs and major technical decisions.</li> <li>Promote reuse, standardization, and adoption of best practices.</li> <li>Evaluate emerging technologies and tools.</li> <li>Estimate delivery efforts and ensure proper team assignment and planning.</li> <li>Deliver assigned features within agreed timelines and quality standards.</li> </ul> </div> </div> <div> <div> <b>Who you are</b> </div> <div> <ul> <li>10 15 years of experience in application development and enterprise solutions delivery.</li> <li>5+ years in team leadership or delivery management roles.</li> <li>Proven experience managing multidisciplinary technical teams.</li> <li>Strong understanding of custom software development, CRM, low-code automation, and enterprise integrations.</li> <li>Strong commercial, financial, and delivery governance capabilities.</li> <li>Excellent leadership, communication, and stakeholder management skills.</li> <li>Excellent command of English.</li> <li>Front-end development (React, Angular, Vue.js)</li> <li>Back-end development (.NET, Java, Python, Node.js)</li> <li>CRM platforms (Microsoft Dynamics 365, Salesforce, Odoo)</li> <li>Low-code and automation platforms (Power Platform, UiPath)</li> <li>Cloud platforms (Microsoft Azure, AWS)</li> <li>DevOps and CI/CD</li> <li>Integration architectures and APIs</li> </ul> </div> </div> <div> <div> <b>Who we are</b> </div> <div> <p>We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p> <p>Together we can.</p> </div> </div> </div></div></section>

<ul><li><p>Owning quality for a high-scale, low-latency streaming Customer Data Platform deployed on infrastructure we run ourselves (on-prem, Kubernetes), not managed cloud services. </p></li><li><p>The platform ingests from thirty or more source systems at hundreds of thousands of events per second, resolves customer identity, computes customer attributes in real time, and emits governed signals to external destinations. </p></li><li><p>You will build and own the automation that proves this works: API and end-to-end test frameworks, streaming and data-pipeline validation, latency and load testing against explicit SLOs, and governance testing that proves consent, data-protection, and tenant-isolation rules actually hold at runtime. </p></li><li><p>Testing here is evidence-producing, not exploratory only — test outcomes gate whether an artifact is allowed to go live.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>6+ years in QE, majority in test automation (not manual).</p></li><li><p>Ownership of test automation frameworks you built/re-architected — not just tests against someone else's framework (core requirement).</p></li><li><p>Strong coding in Python, Java, TypeScript, or equivalent: base classes, utilities, config, reporting, test data management.</p></li><li><p>API automation (REST Assured, Karate, pytest, Postman/Newman, Playwright API): auth handling, schema validation, contract testing.</p></li><li><p>UI automation (Playwright, Cypress, Selenium): POM architecture, dynamic elements, parallel execution.</p></li><li><p>Flaky-test diagnosis and elimination: proper waits, isolation, deterministic setup/teardown, root-cause fixes over blanket retries.</p></li><li><p>Performance/load testing (JMeter, k6, Locust, Gatling): scenario design, bottleneck ID, throughput/latency validation.</p></li><li><p>Strong SQL for data validation: joins, aggregations, window functions, source-vs-target reconciliation at scale.</p></li><li><p>ETL/streaming pipeline testing: schema validation, row/value-level comparison, completeness/duplication checks, sampling strategies.</p></li><li><p>Event-driven/message queue testing (Kafka): payload validation, ordering, delivery semantics, idempotency, consumer lag/offsets.</p></li><li><p>Stateful stream processing testing (Flink): checkpoint/savepoint recovery, state restoration, late/out-of-order events, backpressure behavior.</p></li><li><p>End-to-end latency validation against SLOs (p95/p99), distinguishing in-scope processing from excluded external calls.</p></li><li><p>CI/CD test integration: trigger config, stages, artifact/report publishing, failure gates.</p></li><li><p>Test data management: setup/cleanup, inter-test dependencies, synthetic/masked datasets.</p></li><li><p>Structured, auditable test evidence tied to exact artifact version/config.</p></li><li><p>Data governance/privacy testing: consent enforcement, classification, tokenization/masking, verifying no raw identifiers leak downstream.</p></li><li><p>Identity resolution/entity matching testing: matching outcomes, merge/split, lifecycle transitions.</p></li><li><p>Multi-tenant testing: isolation, RBAC/ABAC, cross-tenant leakage checks.</p></li><li><p>Replay/backfill/reconciliation validation without re-triggering side effects.</p></li><li><p>Lakehouse data validation (Paimon, Iceberg, Delta via Trino/Spark): stream-vs-table completeness/correctness.</p></li><li><p>Failure-injection/resilience testing: node/broker/cache loss, recovery integrity, no dupes/loss.</p></li><li><p>Kubernetes-deployed platform testing: namespaced envs, Helm, pod/job lifecycle, log/metric access.</p></li><li><p>Observability tooling familiarity (Grafana, Prometheus, OpenSearch, tracing).</p></li><li><p>AI/ML/LLM output validation a plus: non-deterministic testing, regression measurement, fabrication detection.</p></li><li><p>Rigorous defect discipline: reproducible reports, severity/triage judgment, maintained regression suite.</p></li><li><p>Domain plus: CDP/customer 360, telecom/high-volume transactional systems, real-time SLA systems, AdTech/MarTech, analytics/dashboards.</p></li><li><p>AI tooling familiarity (Claude, Cursor, Codex)</p></li></ul><p></p>