Python Developer Jobs in Egypt

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br><br>Role Overview:Reviewing AI training problems and research environments built for a frontier AI lab Assessing whether problems are scientifically realistic, well-designed, and correctly graded — not solving them yourself Each task takes 30–90 minute<br>s<br>Requirements:Master's degree, PhD, or 4+ years of professional experience in one or more of the following fields (this is a must have requirement) Mechanical Engineering Materials Science Phylogenetics Computer Science (AI/ML) Knowledge of python programming language. Note: all qualified candidates will go through a background verification process, so please make sure your answers reflect credentials and experience you can document Ability to start immediately Feedback Skills: Ability to provide constructive feedback and detailed annotations. Communication: Excellent structured communication and collaboration skills in a remote setting. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connectio<br>n.<br>Perks of Freelancing With Turing:Work in a fully remote environment Opportunity to work on cutting-edge AI projects with leading LLM companies Potential for contract extension based on performance and project ne<br>eds<br>Offer Details:Engagement type : Contractor assignment/freelancer (no medical/paid le<br>ave)

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Business insight and decision support: Translate strategic and operational questions into clear analyses, dashboards, reports, and recommendations for leadership and functional teams. KPI and metrics ownership: Define, document, and govern business metrics across fuel consumption, transaction activity, customer adoption, fleet performance, station coverage, invoicing, product usage, savings, churn, and operational efficiency. Dashboard and reporting delivery: Build reliable self-service dashboards for executives, product, sales, finance, operations, customer success, and country or regional teams. Customer and product analytics: Analyze user journeys, feature adoption, customer cohorts, fleet behavior, transaction trends, fuel limits, budget usage, and drop-off points to guide product and growth decisions. Operations and finance analytics: Support reconciliation, invoicing, station performance, wallet movement, service usage, cost analysis, revenue tracking, and profitability insights. Fraud and anomaly insight: Partner with product, operations, and data engineering to identify unusual fuel patterns, tampering indicators, policy exceptions, and monitoring rules that improve trust and control. Experimentation and forecasting: Design analyses for pilots, pricing, campaigns, product launches, and operational changes; support forecasting for consumption, transactions, customer demand, and station utilization. Data storytelling: Present insights clearly, explain trade-offs, quantify impact, and convert analysis into practical recommendations and action plans. Data quality partnership: Work with data engineering to improve source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets. Analytics mentorship: Set standards for analysis quality, dashboard design, metric governance, and stakeholder communication while mentoring less experienced analysts. Core analytics stack expectations The exact stack may evolve, but the successful candidate should be comfortable operating across the following categories: Analysis: SQL, spreadsheets, Python or R, notebooks, statistical methods, and business case modeling. BI and visualization: Power BI, Tableau, Looker, Metabase, Superset, or equivalent dashboarding tools. Data modeling: dimensional thinking, metric definitions, cohort tables, funnel tables, and curated analytical datasets. Collaboration: requirements gathering, stakeholder workshops, documentation, presentations, and decision memos. Governance: metric catalog, dashboard ownership, access control awareness, and data quality issue management. Product analytics: event data, customer journeys, feature usage, adoption metrics, retention, and conversion analysis. Competitive salary and benefits package. Opportunity to work on cutting-edge technology with a passionate team. Career growth and development opportunities. A collaborative and inclusive work environment.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+ years of experience in data analytics, business intelligence, product analytics, revenue analytics, operations analytics, or a similar analytical role.</li><li>Advanced SQL skills with the ability to independently extract, transform, join, validate, and analyze complex data from multiple domains.</li><li>Strong experience building dashboards and data products using Power BI, Tableau, Looker, Metabase, Superset, or similar BI tools.</li><li>Strong understanding of KPI design, metric definitions, funnel analysis, cohort analysis, segmentation, trend analysis, forecasting, and root-cause analysis.</li><li>Ability to convert ambiguous business questions into analytical plans, structured hypotheses, and actionable recommendations.</li><li>Experience working with transactional, product, customer, payment, operational, or financial datasets at scale.</li><li>Working knowledge of Python or R for analysis, automation, statistical exploration, or notebook-based research.</li><li>Excellent stakeholder management and communication skills, including the ability to explain technical findings to non-technical audiences.</li><li>Strong attention to data accuracy, definitions, documentation, and reproducibility.</li><li>Comfort working in fast-paced product and engineering environments with changing priorities and high ownership expectations.</li><li>Experience in fintech, fleet management, logistics, mobility, fuel, marketplace, SaaS, or high-volume transaction businesses.</li><li>Experience with dbt, semantic layers, data catalogs, metric stores, or analytics engineering workflows.</li><li>Familiarity with fraud analytics, anomaly detection, operational controls, pricing analysis, or customer savings measurement.</li><li>Experience with A/B testing, causal inference, retention analysis, churn prediction, LTV modeling, or commercial performance analytics.</li><li>Arabic and English business communication skills are a plus for regional stakeholder engagement.</li></ul><p></p></section>

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br><br>Role Overview:Reviewing AI training problems and research environments built for a frontier AI lab Assessing whether problems are scientifically realistic, well-designed, and correctly graded — not solving them yourself Each task takes 30–90 minute<br>s<br>Requirements:Master's degree, PhD, or 4+ years of professional experience in one or more of the following fields (this is a must have requirement) Mechanical Engineering Materials Science Phylogenetics Computer Science (AI/ML) Knowledge of python programming language. Note: all qualified candidates will go through a background verification process, so please make sure your answers reflect credentials and experience you can document Ability to start immediately Feedback Skills: Ability to provide constructive feedback and detailed annotations. Communication: Excellent structured communication and collaboration skills in a remote setting. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connectio<br>n.<br>Perks of Freelancing With Turing:Work in a fully remote environment Opportunity to work on cutting-edge AI projects with leading LLM companies Potential for contract extension based on performance and project ne<br>eds<br>Offer Details:Engagement type : Contractor assignment/freelancer (no medical/paid le<br>ave)

Develop and implement the data engineering strategy in line with our business objectives and industry best practices Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement Collaborate with the Data Architect to design, build, and optimize data infrastructure, ensuring it is scalable, secure, and performant Work closely with other engineering managers to ensure seamless data integration and accessibility for analytics and business intelligence initiatives Establish and enforce data engineering standards, guidelines, and best practices across the organization Identify, evaluate, and implement new data technologies and tools to enhance the capabilities of the data team Collaborate with cross-functional teams to identify data requirements and support data-driven projects Monitor and maintain the health and performance of mylo's data ecosystem, proactively identifying and addressing any issues<br><br>Requirements<br><br>Bachelor's or Master's degree in Computer Science, Engineering, or a related field Minimum of 8 years of experience in data engineering, with at least 3 years in a leadership role Strong knowledge of data science tools, technologies, and best practices, including data warehousing, ETL, and data pipelines Proficiency in programming languages such as Python, Java, or Scala Experience with big data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud-based data solutions (AWS, Azure, or Google Cloud) Exceptional problem-solving, communication, and leadership skills Ability to collaborate effectively with cross-functional teams and stakeholders<br><br>Benefits<br><br>Office environment: When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.<br><br>Flexibility: You know best whether you want to work from home or in the office.<br><br>Equipment: From "Day 1" you will receive all the equipment you need be successful at work.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Business insight and decision support: Translate strategic and operational questions into clear analyses, dashboards, reports, and recommendations for leadership and functional teams.<br> KPI and metrics ownership: Define, document, and govern business metrics across fuel consumption, transaction activity, customer adoption, fleet performance, station coverage, invoicing, product usage, savings, churn, and operational efficiency.<br> Dashboard and reporting delivery: Build reliable self-service dashboards for executives, product, sales, finance, operations, customer success, and country or regional teams.<br> Customer and product analytics: Analyze user journeys, feature adoption, customer cohorts, fleet behavior, transaction trends, fuel limits, budget usage, and drop-off points to guide product and growth decisions.<br> Operations and finance analytics: Support reconciliation, invoicing, station performance, wallet movement, service usage, cost analysis, revenue tracking, and profitability insights.<br> Fraud and anomaly insight: Partner with product, operations, and data engineering to identify unusual fuel patterns, tampering indicators, policy exceptions, and monitoring rules that improve trust and control.<br> Experimentation and forecasting: Design analyses for pilots, pricing, campaigns, product launches, and operational changes; support forecasting for consumption, transactions, customer demand, and station utilization.<br> Data storytelling: Present insights clearly, explain trade-offs, quantify impact, and convert analysis into practical recommendations and action plans.<br> Data quality partnership: Work with data engineering to improve source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets.<br> Analytics mentorship: Set standards for analysis quality, dashboard design, metric governance, and stakeholder communication while mentoring less experienced analysts.<br> Competitive salary and benefits package.<br> Opportunity to work on cutting-edge technology with a passionate team.<br> Career growth and development opportunities.<br> A collaborative and inclusive work environment.<br> Required qualifications 5+ years of experience in data analytics, business intelligence, product analytics, revenue analytics, operations analytics, or a similar analytical role.<br> Advanced SQL skills with the ability to independently extract, transform, join, validate, and analyze complex data from multiple domains.<br> Strong experience building dashboards and data products using Power BI, Tableau, Looker, Metabase, Superset, or similar BI tools.<br> Strong understanding of KPI design, metric definitions, funnel analysis, cohort analysis, segmentation, trend analysis, forecasting, and root-cause analysis.<br> Ability to convert ambiguous business questions into analytical plans, structured hypotheses, and actionable recommendations.<br> Experience working with transactional, product, customer, payment, operational, or financial datasets at scale.<br> Working knowledge of Python or R for analysis, automation, statistical exploration, or notebook-based research.<br> Excellent stakeholder management and communication skills, including the ability to explain technical findings to non-technical audiences.<br> Strong attention to data accuracy, definitions, documentation, and reproducibility.<br> Comfort working in fast-paced product and engineering environments with changing priorities and high ownership expectations.<br> Preferred qualifications Experience in fintech, fleet management, logistics, mobility, fuel, marketplace, SaaS, or high-volume transaction businesses.<br> Experience with dbt, semantic layers, data catalogs, metric stores, or analytics engineering workflows.<br> Familiarity with fraud analytics, anomaly detection, operational controls, pricing analysis, or customer savings measurement.<br> Experience with A/B testing, causal inference, retention analysis, churn prediction, LTV modeling, or commercial performance analytics.<br> Arabic and English business communication skills are a plus for regional stakeholder engagement.<br> Core analytics stack expectations The exact stack may evolve, but the successful candidate should be comfortable operating across the following categories: Analysis: SQL, spreadsheets, Python or R, notebooks, statistical methods, and business case modeling.<br> BI and visualization: Power BI, Tableau, Looker, Metabase, Superset, or equivalent dashboarding tools.<br> Data modeling: dimensional thinking, metric definitions, cohort tables, funnel tables, and curated analytical datasets.<br> Collaboration: requirements gathering, stakeholder workshops, documentation, presentations, and decision memos.<br> Governance: metric catalog, dashboard ownership, access control awareness, and data quality issue management.<br> Product analytics: event data, customer journeys, feature usage, adoption metrics, retention, and conversion analysis.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.</p><p>As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.</p><p>Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt.</p><p>Optimize query performance and data processing efficiency.</p><p>Ensure data is structured to support self-service analytics and business intelligence.</p><p>Work closely with data engineers to define data requirements and enhance ETL pipelines.</p><p>Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.</p><p>Implement and enforce data quality best practices to ensure accuracy and consistency.</p><p>Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms.</p><p>Automate data validation and reporting processes.</p><p>Monitor data integrity and troubleshoot data issues proactively.</p><p>Advocate for best practices in documentation, testing, and version control.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>Strong proficiency in Python, SQL and experience with dbt for data modeling.</li><li>Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).</li><li>Familiarity with version control (Git) and CI/CD practices for data workflows.</li><li>Understanding of data engineering principles, including ETL/ELT processes.</li></ul><p></p></section>

Egy Bell is hiring Solution Delivery Engineer ( 6 months project) for a multinational telecommunications company. Key Responsibilities• Lead the technical delivery of infrastructure and software solutions from implementation through production handover.• Design, implement, and maintain CI/CD pipelines and Git Ops-based delivery frameworks to ensure scalable, repeatable, and auditable deployments.• Build, administer, and support Linux-based environments (RHEL / Oracle Linux), Kubernetes clusters (Rancher preferred), and cloud-hosted infrastructure.• Manage containerized workloads, image repositories, runtime configurations, and lifecycle operations.• Perform deep technical troubleshooting across infrastructure, operating systems, middleware, applications, and integrations.• Implement monitoring, observability, alerting, and operational readiness standards across deployed solutions.• Drive automation initiatives through scripting and Infrastructure-as-Code practices, reducing manual effort and increasing delivery efficiency.• Ensure compliance with security, governance, vulnerability management, and platform hardening requirements.• Produce high-quality technical documentation, deployment guides, operational runbooks, and handover packages. Required Qualifications• Bachelor's degree in Computer Science, Engineering, or a related discipline.• Minimum 5 years of experience in Solution Delivery, Platform Engineering, Dev Ops, Infrastructure Engineering, or a similar technical role.• Excellent English communication skills.• Linux Administration (RHEL, Oracle Linux)• Kubernetes Administration & Rancher• Container Technologies and Lifecycle Management• Cloud Platforms (AWS, Azure, GCP, or Private Cloud)• CI/CD Pipelines (Git Lab CI, Jenkins, Argo CD, or equivalent)• Git Ops Methodologies• Infrastructure as Code (Terraform, Ansible, Helm)• Bash and/or Python Scripting• Monitoring & Observability Tools (Prometheus, Grafana, ELK)• Root Cause Analysis & Full-Stack Troubleshooting• Security Hardening, Vulnerability Management & Compliance• Experience with Service Mesh, Ingress Controllers, and Network Policies within Kubernetes environments.• Exposure to regulated or compliance-driven environments.• Familiarity with ITSM and Change Management processes.• Contribution to Open-Source projects or communities is considered an advantage

Position: STEM - Maths Expert (Task Based) Type: Short-Term Contract (3 months) Compensation: $250 per task upon approval Location: Remote Commitment: At least 4 hours per day and up to 40 hours per week with 4 hours overlap with PST<br>Role Responsibilities Develop and apply advanced mathematical models and computational techniques to solve complex problems across various mathematical domains Collaborate with multidisciplinary teams to contribute mathematical insight and expertise to research projects Engage with the latest mathematical literature, including cutting-edge research papers Design and solve advanced mathematical reasoning problems for AI model evaluation and training Contribute to mathematical benchmarking and problem-solving workflows for large language models Analyze complex mathematical concepts and provide structured, rigorous solutions Support evaluation initiatives focused on advanced reasoning and applied mathematics<br>Requirements Master s or PhD in Mathematics or a closely related field Strong expertise in at least 4 of the following areas: computable functions and mathematical logic, algebra and number theory, linear algebra and matrix theory, topology and geometry, analysis, probability and statistics, and applied mathematics Demonstrated ability to solve complex mathematical problems through research, publications, or projects Excellent analytical and critical thinking skills with strong attention to detail Strong communication skills with the ability to explain complex mathematical concepts clearly Collaborative mindset with experience working in multidisciplinary teams Python and data analysis experience is desirable but not mandatory Access to a desktop or laptop with a reliable internet connection Linked In profile is mandatory in the resume Candidates will undergo a background verification process after onboarding<br>Application Process Apply/Easy Apply and check email for application form Fill Google form Assessment Link (After shortlisting to be completed within 24 hours)<br><br>Skills: mathematician

We are hiring a Senior Data Scientist to join our team at Klivvr.<br><br>What you'll do:<br><br> Own a domain such as credit, risk, or growth end to end, setting the modeling strategy and being accountable for the systems that result Take on the most ambiguous, highest-stakes problems, including framing what should be built and why before any modeling begins Make and defend the hard technical calls, choosing the simplest approach that solves the problem rather than the most sophisticated one Drive models into production and own their long-term health, performance, and reliability once they're live Set technical direction and standards that other data scientists build on, through design reviews, shared tooling, and engineering practices Mentor data scientists across levels and raise the quality bar for the team's work Translate business strategy into a coherent data science roadmap and communicate tradeoffs clearly to leadership<br><br><br><br><br>To succeed in this role, you'll need to have:<br><br> 5+ years of hands-on data science or applied ML experience, with a track record of owning systems in production end to end Deep proficiency in Python (Num Py, pandas, scikit-learn) and SQL, and strong software engineering fundamentals Strong grounding in statistics, probability, and machine learning, with the judgment to know which method actually fits the problem Experience designing and operating large-scale ML systems on cloud platforms (AWS preferred) A demonstrated ability to lead ambiguous, cross-functional initiatives without close guidance Excellent communication skills, including the ability to influence technical and business stakeholders and to make others better through your feedback

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Planning &amp; Design for VF-EG transport network to ensure best network quality and best customer experience.</p><p>Managing rollout &amp; integration of backhaul IP nodes from both technical &amp; Management perspectives Preparing scripts &amp;Managing IP configurations/migrations over Backhaul Routers while ensuring best customer experience &amp; resilience Manage &amp; align all project activities across different stakeholders inside &amp; outside Vodafone Responsible for building &amp; maintaining Project plans for assigned projects along with reporting both progress &amp; challenges Monitor transmission stock and hardware release from TX warehouse Responsible for managing penetration of the IP/MPLS in the backhaul network Catering for the transmission capacity needed for the anticipated traffic growth according to VFE key priorities and strategy (leading in voice &amp; data) Responsible for automation of IP scripts needed for new projects Rollout for new technologies and solutions to be introduced within VFEG transport domain</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum of 2 years; post qualification experience in the Transmission and IP field (Preferable in Backhaul Domain) Strong knowledge of the IP MW, IP/MPLS/Ethernet technologies Good knowledge &amp; experience in python/other programming languages Good knowledge &amp; experience in SDN and other related technologies is a plus Full awareness with the Transport products and vendors MS Office (Word, Excel, Power Point &amp; Access) Stakeholder management capabilities Good interpersonal &amp; communication skills Self-motivated and high time management ability. Creative thinking to provide out of the box solution Ability to work well under pressure. Ability to learn and self-study Must have technical / professional qualifications: BSC. in Electrical Engineering majoring in Communication and Electronic Engineering Certifications in IP such as CCNA and CCNP or equivalent is a Must</p><p></p></section>

Build. Customize. Optimize.<br>We’re seeking a Senior Odoo Developer to design, develop, and enhance ERP solutions that streamline operations and deliver real business value. You’ll be responsible for creating custom modules, integrating systems, and optimizing code to ensure scalable, high-performance applications. If you have a passion for clean, efficient development and a deep understanding of Odoo’s technical architecture, this role offers the chance to work on impactful projects from start to finish.<br>What You’ll Be Doing:Design, develop, and maintain custom Odoo modules and applications. Customize and extend existing Odoo modules to meet specific business needs. Integrate Odoo with external systems and third-party APIs for seamless data flow. Optimize code for performance, scalability, and maintainability. Develop and execute test plans to ensure the quality and functionality of Odoo applications. Create and maintain technical documentation, including code comments and user guides. Collaborate with cross-functional teams to ensure smooth delivery of solutions.<br>What You Bring to the Table:3+ years of proven experience as an Odoo Developer with strong customization and module creation skills. Proficiency in Python, Java Script, XML, and OWL JS. Strong understanding of Odoo’s technical architecture and framework. Good knowledge of Postgre SQL and web development technologies such as HTML, CSS, and Bootstrap. Solid grasp of software development principles and best practices. Ability to troubleshoot and optimize for performance.<br>Why Join Us? You’ll have the opportunity to work on challenging ERP projects where your code directly drives operational efficiency. This is a role where innovation is encouraged, and your expertise will shape solutions that matter.<br>Ready to Code Smarter? Apply now and bring your Odoo development skills to projects that make a measurable impact!

Key Responsibilities Design, develop, and maintain performance dashboards and KPI frameworks to monitor retail banking performance. Lead portfolio analytics and customer segmentation strategies to enable targeted marketing and personalized customer experiences. Build and deploy predictive models (e.g., cross-sell/up-sell propensity, churn prediction, customer lifetime value). Plan and execute A/B testing, multivariate testing, and controlled experiments to evaluate campaign effectiveness and product performance. Collaborate with IT and Data Engineering teams to ensure data quality, accessibility, and governance standards. Define analytical data requirements and contribute to data warehouse and data lake architecture. Develop and implement scalable analytics solutions using modern tools, frameworks, and best practices. Identify opportunities to enhance analytics capabilities through advanced methodologies, tools, and emerging technologies. Ensure compliance with data privacy regulations, information security standards, and regulatory requirements.<br>Qualifications Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field. Minimum 4+ years of experience in Data Science / Advanced Analytics, preferably within a financial institution. Strong expertise in statistical analysis and predictive modeling techniques. Advanced programming skills in Python (machine learning model development). Expert-level proficiency in SQL and database querying. Hands-on experience with Power BI for dashboard design and data visualization. Solid understanding of machine learning algorithms and their practical applications. Experience with A/B testing frameworks and experimentation platforms. Familiarity with SAS Enterprise Guide is a plus. Experience in retail banking analytics or customer analytics. Knowledge of big data environments (e.g., Spark, Hadoop). Exposure to cloud platforms (Azure, AWS, or GCP).

Job Summary The Senior Penetration Tester is responsible for conducting advanced security testing to identify vulnerabilities in the organization’s networks, systems, and applications. The role involves performing penetration tests, simulating cyberattacks, and providing actionable recommendations to strengthen the organization’s security posture. Key Responsibilities Conduct penetration testing on web applications, mobile applications, networks, and infrastructure. Perform ethical hacking activities to simulate real-world cyberattacks and identify security weaknesses. Identify and exploit vulnerabilities using tools and manual testing techniques. Prepare detailed technical reports outlining vulnerabilities, risk levels, and remediation recommendations. Work closely with development and IT teams to validate fixes and improve security controls. Lead red team exercises and security assessments when required. Use industry-standard tools such as Burp Suite, Metasploit, Nmap, OWASP ZAP, and Kali Linux. Stay updated on latest cyber threats, attack techniques, and security vulnerabilities. Support security audits, compliance requirements, and risk assessments. Mentor junior penetration testers and provide technical guidance to the team. Requirements Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or a related field.5–8 years of experience in Penetration Testing, Ethical Hacking, or Cybersecurity. Strong experience in Web Application, Network, and Infrastructure Penetration Testing. Deep knowledge of OWASP Top 10 vulnerabilities and exploitation techniques. Hands-on experience with penetration testing tools such as Burp Suite, Metasploit, Nmap, Wireshark, and Kali Linux. Experience with scripting or programming (Python, Bash, or similar) is a plus. Strong knowledge of network protocols, operating systems (Linux & Windows), and security architecture. Excellent analytical and problem-solving skills. Strong reporting and communication skills. Preferred Certifications OSCP (Offensive Security Certified Professional) CEH (Certified Ethical Hacker) GWAPT / GPENCISSP (optional)

???? We’re Hiring: Senior Integration Engineer (Senior Software AG Web Methods) We’re looking for a skilled Integration Engineer to join our team and take ownership of integration components across projects.<br>???? Key Responsibilities✅ Oversee the technical aspects of integration components within projects.✅ Develop and maintain APIs, RESTful services, and other integration endpoints.✅ Act as the main technical coordinator for internal engineering teams.✅ Plan, execute, and lead integration testing with external systems, elements, and sensors.✅ Design, build, and maintain interfaces between different data/messaging structures and related applications.✅ Prepare technical documentation, including test procedures and performance specifications.✅ Track and report integration performance and software quality metrics ????.✅ Gather and analyze business requirements to design effective integration solutions.✅ Provide production support, including incident management and integration monitoring ????.✅ Document and present solutions using flowcharts, layouts, diagrams, and clear code comments.✅ Ensure all existing interfaces function as designed and meet business requirements.✅ Analyze support issues affecting customer satisfaction and recommend corrective actions.✅ Assess current integration processes and propose continuous improvements ????.<br>???? Knowledge & Skills Required????8 years of experience with Software AG Web Methods (Integration Server, TN, DMS, BPM, etc.).???? Experience with WSO2 Integration Platform is a plus ⭐.???? Bachelor’s or Master’s degree in Engineering, Computer Science, or IT ????.???? Strong programming skills in Java, C#, or similar languages.???? Solid understanding of SQL and integration technologies (API, REST, SOAP, ETL).???? Strong analytical & problem‑solving skills for complex integration scenarios.???? Excellent communication and teamwork skills ????.???? Willingness to learn and adapt to new technologies and integration methodologies ????.???? Experience with Linux; Python knowledge is a plus ????.???? Familiarity with modeling tools such as draw.io is a plus.

Company Description<br> <br>FETRA INTEGRITY Egypt & Project Management specializes in delivering exceptional human capital consulting services and business development solutions. The organization focuses on enhancing organizational performance by aligning human resource strategies with business goals to maximize quality. Offering services such as recruitment, organizational design, performance management, training, and career counseling, FETRA INTEGRITY Egypt is dedicated to meeting the unique needs of its clients. Centrally located in Egypt, the company is a trusted partner for businesses looking to optimize their structures, processes, and human resources to achieve excellence.<br><br> Role Description<br> <br>This is a full-time on-site role for a Senior AI Instructor based in Cairo, Egypt. The Senior AI Instructor will develop and deliver AI-related training programs, design tailored course content, and support learners in achieving their career goals in artificial intelligence. The instructor will collaborate with the organization’s internal teams to ensure training modules meet industry standards, conduct assessments regularly, and provide grading and feedback. Additional responsibilities may include mentoring junior trainers and staying updated on the latest AI innovations to refine teaching materials.<br><br> Qualifications<br> <br>Strong expertise in Artificial Intelligence (AI), Machine Learning, and Deep Learning Proven experience in designing and delivering professional training programs Excellent teaching, public speaking, and instructional design skills Proficiency with popular AI tools, frameworks, and programming languages such as Python, Tensor Flow, and PyTorch Exceptional communication and interpersonal skills for effective learner engagement Strong analytical and problem-solving abilities with a focus on continuous improvement Degree in Computer Science, Data Science, Artificial Intelligence, or a related field Prior experience in project management, and knowledge of organizational performance principles is an added advantage

<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>Associate<p> </p> <p> <b>Job Description &amp; Summary</b> </p>As an Associate in our Applied AI team, you will work on building and deploying AI-powered solutions that drive impact for our clients across industries. You ll collaborate with experienced engineers, data scientists, and business stakeholders to turn raw data and innovative ideas into production-ready systems. This is an opportunity to grow your machine learning and software engineering skills in a collaborative, client-focused environment.<p> </p> <p> </p> <p> <b>Responsibilities </b> </p> <ul> <li>Assist in developing and evaluating machine learning models using Python, scikit-learn, and modern frameworks like PyTorch and Hugging Face Transformers. </li> <li>Assist in developing and testing generative ai agents and applications -&gt; LangChain, LangGraph. </li> <li>Participate in the implementation of retrieval-augmented generation (RAG) pipelines leveraging vector databases. </li> <li>Support with prompt engineering, the fine-tuning of foundation models for domain-specific use cases and transfer learning techniques. </li> <li>Help generate and use synthetic data for model training, evaluation, and robustness testing. </li> <li>Work with data pipelines to preprocess, transform, and structure data for AI applications. </li> <li>Collaborate with engineers and data scientists to build backend services and APIs for deploying AI models. </li> <li>Use Git for version control and contribute to collaborative software development workflows. </li> <li>Participate in Agile development cycles, including sprint planning, daily stand-ups, and code reviews. </li> <li>Contribute to documentation, experiment tracking, and explainability efforts for AI models. </li> <li>Stay up-to-date with emerging trends in LLMs, GenAI, and responsible AI practices. </li> </ul> <p> </p> <p> <b>Required Skills &amp; Qualifications </b> </p> <ul> <li>Bachelor s degree in Computer Science, Engineering, Data Science, or a related technical field. </li> <li>Solid programming skills in Python, including use of libraries like Pandas, NumPy, and Matplotlib. </li> <li>Exposure to core machine learning concepts (e.g., regression, classification, model evaluation). </li> <li>Understanding of data manipulation, feature engineering, and model evaluation techniques. </li> <li>Understanding of how LLMs work, and familiarity with popular tools (e.g., OpenAI, Hugging Face). </li> <li>Interest in or basic experience with LangChain, vector databases, and RAG frameworks. </li> <li>Comfortable working with version control (Git), Jupyter Notebooks, and REST APIs. </li> <li>Strong communication skills and a collaborative mindset. </li> <li> </li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> <b>Preferred Skills (Nice to Have) </b> </p> <ul> <li>Hands-on experience with tools like Hugging Face Transformers, LangChain, LlamaIndex, or OpenAI API. </li> <li>Familiarity with cloud-based AI tools (e.g., AWS SageMaker, Azure AI Services, Google Vertex AI). </li> <li>Exposure to front-end technologies (e.g., streamlit, nextJS) or back-end frameworks (e.g., Flask, FastAPI). </li> <li>Experience with synthetic data generation (e.g., text simulation, data augmentation). </li> <li>Familiarity with fine-tuning techniques (e.g., LoRA, PEFT, instruction tuning), </li> <li>Coursework or personal projects involving deep learning, NLP, or generative models. </li> <li>Basic understanding of containerization (Docker). </li> <li>Familiarity with multi agent architectures. </li> </ul> <p> <br> </p> <p> <b>What We Offer </b> </p> <p>Continuous learning through hands-on experience and formal training in applied AI, MLOps, and GenAI. </p> <p>Exposure to real-world AI projects with leading clients across industries. </p> <p>Opportunities to contribute to innovative client-facing AI projects using advanced tools like LangChain and vector search. </p> <p>Mentorship from senior engineers and technical leaders. </p> <p>A collaborative environment with opportunities to explore cutting-edge technologies and innovative ideas. </p> <p> </p> <p> <b>Education </b> <i>(if blank, degree and/or field of study not specified)</i> </p>Degrees/Field of Study required:<p> </p> <p> </p>Degrees/Field of Study preferred:<p> </p> <p> <b>Certifications </b> <i>(if blank, certifications not specified)</i> </p> <p> </p> <p> <b>Required Skills</b> </p> <p> </p> <p> <b>Optional Skills</b> </p>Accepting Feedback, Accepting Feedback, Active Listening, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Emotional Regulation, Empathy, Go-to-Market Strategies, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Market Research {+ 9 more}<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>

Company Description<br> <br>FETRA INTEGRITY Egypt & Project Management specializes in delivering exceptional human capital consulting services and business development solutions. The organization focuses on enhancing organizational performance by aligning human resource strategies with business goals to maximize quality. Offering services such as recruitment, organizational design, performance management, training, and career counseling, FETRA INTEGRITY Egypt is dedicated to meeting the unique needs of its clients. Centrally located in Egypt, the company is a trusted partner for businesses looking to optimize their structures, processes, and human resources to achieve excellence.<br><br> Role Description<br> <br>This is a full-time on-site role for a Senior AI Instructor based in Cairo, Egypt. The Senior AI Instructor will develop and deliver AI-related training programs, design tailored course content, and support learners in achieving their career goals in artificial intelligence. The instructor will collaborate with the organization’s internal teams to ensure training modules meet industry standards, conduct assessments regularly, and provide grading and feedback. Additional responsibilities may include mentoring junior trainers and staying updated on the latest AI innovations to refine teaching materials.<br><br> Qualifications<br> <br>Strong expertise in Artificial Intelligence (AI), Machine Learning, and Deep Learning Proven experience in designing and delivering professional training programs Excellent teaching, public speaking, and instructional design skills Proficiency with popular AI tools, frameworks, and programming languages such as Python, Tensor Flow, and PyTorch Exceptional communication and interpersonal skills for effective learner engagement Strong analytical and problem-solving abilities with a focus on continuous improvement Degree in Computer Science, Data Science, Artificial Intelligence, or a related field Prior experience in project management, and knowledge of organizational performance principles is an added advantage

<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>Role Purpose</b> </div> <div> <p>The Back End Developer is responsible for designing, developing, and maintaining server-side applications, APIs, databases, and integration services that power enterprise digital solutions. The role ensures that applications are scalable, secure, performant, and aligned with enterprise architecture and coding standards. The Back End Developer collaborates with Front End Developers, DevOps Engineers, Solution Architects, QA teams, and business stakeholders to build robust digital platforms and services.</p> </div> </div> <div> <div> <b>Key Accountabilities</b> </div> <div> <ul> <li>Design, develop, and maintain server-side applications and microservices.</li> <li>Build RESTful and GraphQL APIs to support web and mobile applications.</li> <li>Develop integrations with third-party systems, ERPs, CRMs, and enterprise applications.</li> <li>Design and optimize relational and NoSQL databases.</li> <li>Implement authentication, authorization, and security controls.</li> <li>Optimize application performance, scalability, and reliability.</li> <li>Write reusable, maintainable, and well-documented code.</li> <li>Develop automated unit, integration, and API tests.</li> <li>Participate in peer code reviews.</li> <li>Troubleshoot and resolve application defects and production issues.</li> <li>Ensure adherence to coding standards and best practices.</li> <li>Project management</li> <li>Stakeholder management</li> <li>Risk management</li> <li>Compliance and auditing</li> </ul> </div> </div> <div> <div> <b>Core competencies, knowledge and experience</b> </div> <div> <ul> <li>3 5 years of experience in back-end development.</li> <li>Strong proficiency in at least one back-end language such as Java, C#, Python, Go, or Node.js.</li> <li>Experience designing APIs and microservices.</li> <li>Bachelor s degree in Computer Science, Software Engineering, or related field.</li> <li>Relevant cloud or platform certifications are an advantage.</li> <li>Strong database design and SQL skills.</li> <li>Experience with cloud-native and containerized applications.</li> <li>Strong problem-solving and analytical capabilities.</li> <li>Effective communication and teamwork.</li> <li>Excellent command of English.</li> </ul> </div> </div> <div> <div> <b>Must have technical qualifications</b> </div> <div> <p> <strong>Programming Languages &amp; Frameworks</strong> </p> <ul> <li>Java / Spring Boot</li> <li>C# / .NET</li> <li>Python / FastAPI or Django</li> <li>Node.js / NestJS or Express.js</li> <li>Go (optional)</li> </ul> <p> <strong>APIs &amp; Integration</strong> </p> <ul> <li>REST APIs</li> <li>GraphQL</li> <li>OpenAPI / Swagger</li> <li>Webhooks</li> </ul> <p> <strong>Databases</strong> </p> <ul> <li>PostgreSQL</li> <li>MySQL</li> <li>Microsoft SQL Server</li> <li>MongoDB</li> <li>Redis</li> </ul> <p> <strong>Messaging &amp; Event Streaming</strong> </p> <ul> <li>Apache Kafka</li> <li>RabbitMQ</li> <li>Azure Service Bus</li> </ul> <p> <strong>Cloud &amp; Containers</strong> </p> <ul> <li>Docker</li> <li>Kubernetes</li> <li>Microsoft Azure / AWS / Google Cloud</li> </ul> <p> <strong>DevOps &amp; CI/CD</strong> </p> <ul> <li>Git</li> <li>GitHub / GitLab / Azure DevOps</li> <li>Jenkins</li> </ul> <p> <strong>Testing &amp; Quality</strong> </p> <ul> <li>JUnit / NUnit / PyTest</li> <li>Postman</li> <li>SonarQube</li> </ul> <p> <strong>Security</strong> </p> <ul> <li>OAuth 2.0</li> <li>OpenID Connect</li> <li>JWT</li> <li>OWASP secure coding practices</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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Job Purpose<br></span></p><br> <p><span>As an Application Security Engineer at Luciq, you will help shape and build our application security program alongside the wider team. This is a hands-on, high-ownership role where you will work closely with product and development teams across the full software development lifecycle — reviewing designs before code is written, identifying risks as features take shape, and ensuring security is embedded into how we build and ship software, not bolted on after the fact. Our stack runs on Ruby on Rails, Go, and Python, deployed on AWS with Terraform managing infrastructure as code and Jenkins powering CI/CD. You will read and review code in these languages — not just rely on scanner output — and work with AWS security services (SecurityHub, Inspector, GuardDuty, CloudTrail, CloudFront) to provide visibility and protection across our infrastructure. The role spans web applications, APIs, our mobile SDK (iOS and Android), cloud, and CI/CD — partnering with engineers, PMs, Platform, and the Security team to make the secure path the default path. This role can be filled at mid-level with a clear growth path to senior-level as you grow into shaping our application security program, or at senior-level if you're already operating at that scope.</span></p><br> <p><span>You will join a lean Security team, which entails stepping beyond core AppSec for incident triage, addressing customer security questionnaires, or supporting cross-functional cloud and compliance reviews. We value this variety as a core facet of the role; if you are seeking hyper-specialized work restricted strictly to application security, this may not be the right fit.</span></p><br> <p><span>Job Responsibilities</span></p><br> <ul> <li><span>Secure Design &amp; Code Review</span></li> </ul> <ul> <li> <ul> <li><span>Run and lead threat modeling sessions with product and engineering teams during feature design. This is a hands-on role with expectations to deliver fixes in the product as needed while enabling other engineers.</span></li> <li><span>Conduct security code reviews and architecture reviews across web applications, APIs, and services in Ruby, Go, and Python</span></li> <li><span>Leverage AI and make sure that we enable engineers to adhere to security acceptance criteria. Provide guidance to engineers on secure design as we iterate and build the product.</span></li> </ul> </li> </ul> <ul> <li><span>Vulnerability Management</span></li> </ul> <ul> <li> <ul> <li><span>Validate, triage, and drive remediation of vulnerabilities — partner with engineering teams across the full lifecycle from discovery through SLA support</span></li> <li><span>Coordinate with engineering teams on fix verification and root-cause prevention</span></li> </ul> </li> </ul> <ul> <li><span>Security Automation in CI/CD</span></li> </ul> <ul> <li> <ul> <li><span>Build and maintain automated security testing in CI/CD — SAST, SCA, secret scanning</span></li> <li><span>Tune tooling for signal over noise; integrate findings into developer workflows</span></li> <li><span>Operate secret-scanning and leaked-credential response workflows</span></li> </ul> </li> </ul> <ul> <li><span>Cloud &amp; Infrastructure Security</span></li> </ul> <ul> <li> <ul> <li><span>Support cloud security reviews — IAM policies, network segmentation, container/Kubernetes configurations, and Terraform policy-as-code</span></li> <li><span>Work with AWS security services (SecurityHub, Inspector, GuardDuty, CloudTrail, CloudFront) to maintain visibility and detection across our infrastructure</span></li> </ul> </li> </ul> <ul> <li><span>Supply Chain &amp; Build Security</span></li> </ul> <ul> <li> <ul> <li><span>Own dependency risk via SCA, lockfiles, and pinning</span></li> <li><span>Drive CI/CD pipeline hardening — build runners, OIDC-to-cloud, artifact signing, SBOM standards</span></li> </ul> </li> </ul> <ul> <li><span>Cross-functional Security Enablement</span></li> </ul> <ul> <li> <ul> <li><span>Develop secure coding guidelines and reusable patterns that make the secure path the default</span></li> <li><span>Drive S-SDLC adoption across engineering teams</span></li> <li><span>Review security posture of our mobile SDK across iOS and Android — data handling, transport security, local storage, IPC, encryption, third-party dependency risk, and SDK consumer-facing security defaults</span></li> <li><span>Assess security risks in AI/LLM integrations — prompt injection, insecure output handling, trust boundaries in agentic architectures</span></li> <li><span>Support compliance initiatives (SOC 2, ISO 27001) — translate control requirements into engineering practices and assist with audit evidence collection</span></li> <li><span>Use AI tooling actively in your own workflow AI-assisted code review, threat modeling drafts, vulnerability research, and security artifact generation&nbsp; and help shape how the rest of engineering uses AI safely</span></li> </ul> </li> </ul> <p><span>Job Requirements</span></p><br> <p><span>Must-Haves</span></p><br> <ul> <li><span>Experience</span><span>: 3-6 years in application security, or security engineering</span></li> <li><span>Education</span><span>: Bachelor's degree in Computer Science, Information Security, or equivalent practical experience</span></li> <li><span>Secure code review</span><span>in at least one of: Python, Ruby, Go — can read code and reason about vulnerabilities, not rely on scanner output</span></li> <li><span>OWASP Top 10 (Web and API)</span><span>as root-cause patterns, not a memorized checklist — including SSRF, insecure deserialization, injection classes, and access-control flaws</span></li> <li><span>Threat modeling</span><span>: practical experience with STRIDE and data flow diagrams; can lead a session with a product team and produce actionable output</span></li> <li><span>Auth and identity</span><span>: working depth in session management, RBAC/ABAC models</span></li> <li><span>CI/CD security automation</span><span>: hands-on experience integrating SAST, SCA, and secret scanning into pipelines and tuning for actionable signal</span></li> <li><span>Proactive and ownership-driven</span><span>— does not wait to be told what to secure</span></li> <li><span>Comfortable working</span><span>cross-functionally</span><span>with product engineers, platform engineers, and the wider team</span></li> <li><span>Strong</span><span>analytical and problem-solving</span><span>abilities</span></li> <li><span>Fluent in</span><span>English</span><span>, with strong written and verbal communication</span><br></li> <li><span>Communication</span><span>: clear written and verbal communication can explain a vulnerability to an engineer, a PM, or a VP<br></span></li> </ul> <p><span>Strong Plus</span></p><br> <p><span>We expect strong candidates to have</span><span>some</span><span>of these not all. The more, the better.</span></p><br> <ul> <li><span>Mobile SDK security</span><span>: OWASP Mobile Top 10 and MASVS/MASTG; Android (Kotlin) or iOS (Swift); experience with Frida, objection, or MobSF</span></li> <li><span>AWS security service depth</span><span>: SecurityHub, Inspector, GuardDuty, CloudTrail, CloudFront beyond IAM</span></li> <li><span>Container and Kubernetes</span><span>security fundamentals</span></li> <li><span>Supply chain depth</span><span>: SLSA framework, SBOM</span><span>AI/LLM security</span><span>: prompt injection mitigations, OWASP LLM Top 10, securing agentic architectures and tool-use boundaries</span></li> <li><span>Familiarity with</span><span>ISO 27001 or SOC 2</span><span>.<br></span></li> </ul> <p><span>Nice to Have</span></p><br> <ul> <li><span>Terraform and policy-as-code: tfsec, Checkov, OPA/Conftest</span></li> <li><span>Experience building or bootstrapping a security program</span></li> <li><span>Bug bounty participation, published CVEs, or documented security research</span></li> <li><span>Hands-on certifications: OSCP, OSWE, eMAPT</span></li> <li><span>Incident response experience — triage, containment, root-cause analysis</span></li> <li><span>Red teaming or purple teaming experience</span></li> </ul> </div>

Senior Software Tester Automation Engineer (Banking Background)<br>Summary/Purpose:The Senior Software Automation Engineer will be responsible for designing, developing, and maintaining robust automation solutions for banking applications while ensuring high software quality, reliability, and compliance with industry standards. This role requires strong expertise in automation frameworks, software engineering, API and UI automation, CI/CD integration, and banking domain knowledge. The successful candidate will collaborate closely with developers, business analysts, and QA teams to drive automation best practices and continuously improve testing efficiency.<br>Responsibilities:<br>Design, develop, and maintain scalable, reusable test automation frameworks and scripts for banking applications. Define and implement automation testing strategies, standards, and best practices aligned with banking compliance requirements. Develop and execute automated functional, regression, integration, performance, and data-driven tests to improve software quality and coverage. Optimize automation frameworks and test scripts for performance, stability, and maintainability across multiple environments. Integrate automated testing into CI/CD pipelines and collaborate with Dev Ops teams to support continuous testing and deployment. Identify, track, and resolve defects while working closely with developers and business analysts to enhance software reliability. Ensure automation solutions comply with banking security, regulatory, and risk management standards. Mentor automation engineers, drive process improvements, and evaluate emerging automation tools and technologies.<br>Must-have Skills and Experience:<br>- Bachelor’s degree in Computer Science, Software Engineering, or a related field.- 5+ years of experience in software automation testing, including at least 3 years of hands-on automation engineering experience.- Strong experience in developing custom automation frameworks using Selenium, Appium, Test NG, or Cypress.- Expertise in writing scalable test scripts using Java, Python, Java Script, or other programming languages.- Experience integrating test automation with CI/CD pipelines using Jenkins, Git Hub Actions, or Azure Dev Ops.- Proficiency in API testing tools like Postman or Rest Assured.- Experience working in Agile and Dev Ops environments with test-driven development (TDD) and behavior-driven development (BDD) approaches.- Strong problem-solving skills and ability to optimize test automation for efficiency and performance.