Python Developer Jobs in Egypt

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We re Hiring: AI Engineer Are you passionate about building AI-powered solutions that transform the Architecture, Engineering &amp; Construction (AEC) industry?</p><p>If you're excited about applying AI to solve real-world engineering challenges and want to be part of a team shaping the future of digital construction, we'd love to hear from you.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 2 years of experience in AI/Machine Learning.</li><li>Experience in the AEC (Architecture, Engineering &amp; Construction) or Construction Technology industry is highly preferred.</li><li>Strong proficiency in Python , PyTorch , TensorFlow , or Scikit-learn .</li><li>Experience with Computer Vision , LLMs , and Generative AI .</li><li>Knowledge of BIM and Autodesk Revit is a strong advantage.</li></ul><p></p></section>

<p>Role Purpose Design and deliver AI, data science, and Agentic AI solutions that solve business problems and create measurable value.</p><p>Key Responsibilities Identify AI use cases with business teams. Build machine learning and data science models. Develop GenAI solutions using LLMs, RAG, prompts, and AI agents. Prepare and analyse data for AI use cases. Evaluate model performance and business impact. Support responsible AI, testing, monitoring, and documentation. Explain AI capabilities and limitations in business language.</p><p><strong>Desired Candidate Profile</strong></p><p>Required Skills Python, machine learning, data science, model evaluation, and GenAI tools. Experience with LLMs, RAG, vector databases, APIs, or AI agents. Strong problem-solving and communication skills. Preferred Experience with Azure AI, OpenAI, Copilot Studio, LangChain, LlamaIndex, Flowise, or similar tools.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large-scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software, enhancements to cloud infrastructure, and the creation of innovative interfaces within the mobile application. As a backend engineer you will be responsible for cloud part for AI related modules. Responsibilities Design, develop, test, and deploy scalable, high-performance microservice-based applications across frontend and backend components. Develop backend services and APIs using C#/.NET Core, Node.js (TypeScript), and Python. Build modern, responsive, and user-friendly web applications using React.js and modern JavaScript/TypeScript. Design and implement scalable solutions leveraging AWS cloud services and cloud-native architecture principles. Define, provision, and maintain AWS infrastructure using Infrastructure as Code (IaC) with AWS CloudFormation. Design and maintain reliable integrations between microservices and other platform components. Develop comprehensive unit and automated End-to-End (E2E) tests to ensure application reliability and maintain high code quality. Containerize applications and services using Docker and support their integration into CI/CD pipelines. Monitor application and platform health, investigate production issues, and implement improvements to ensure performance, reliability, and stability. Troubleshoot complex technical issues across frontend, backend, infrastructure, and integration layers. Participate in code reviews, technical discussions, solution design, and collaborative development sessions. Apply software engineering best practices, including clean code, maintainability, scalability, security, and automated testing. Work within an Agile development environment, collaborating closely with engineering, product, and other cross-functional teams. Contribute to continuous technical improvement by evaluating emerging technologies, proposing enhancements, and experimenting with new approaches during dedicated innovation time. Skills Must have Strong hands-on experience as a Full Stack Software Engineer developing production-grade applications. Strong backend development experience with: C# / .NET Core Node.js / TypeScript Python Strong experience designing and developing microservices and RESTful APIs. Hands-on frontend development experience with React.js, JavaScript, and TypeScript. Strong practical experience with AWS and building cloud-native applications. Hands-on experience with Infrastructure as Code (IaC) using AWS CloudFormation. Strong understanding of microservices architecture, distributed systems, and application integration patterns. Hands-on experience with unit testing and automated End-to-End (E2E) testing. Experience with Docker and containerized application development. Practical experience working with CI/CD pipelines and automated software delivery processes. Experience with application monitoring, troubleshooting, and production support. Good understanding of software engineering best practices, including clean code, code reviews, security, scalability, and maintainability. Proven experience delivering production-grade software within Agile development teams. Strong problem-solving and analytical skills. Good English communication skills and ability to collaborate effectively within distributed, cross-functional engineering teams. Nice to have Experience with Kubernetes and container orchestration. Knowledge of additional Infrastructure as Code tools such as Terraform or AWS CDK. Experience with observability and monitoring solutions such as AWS CloudWatch, Datadog, Splunk, or Grafana. Other Languages English: B2 Upper Intermediate Seniority Senior</p><br> </div>

<p>Egybell is hiring Platform Engineer (6 Months project) for a multinational telecommunications company. Responsibilities: Developing the company s next-gen public / private, portable cloud platform PaaS Designing, developing and deploying business software at scale Deploying and maintaining solutions in various infrastructure environments Verify technical feasibility and validate solution options for the requirements Align with product and development teams on providing training, knowledge transfer and subject matter expertise. Translate the company s business requirements into systems design, including high-availability and disaster recovery. Excellent communication skills, both written and oral with the ability to adjust the messaging based on the audience Requirements: Experience with Kubernetes and Docker (Using &amp; Administration, including deployment of Kubernetes or K3S) Developing and maintaining Helm Charts and Dockerfiles from open Deploying solutions in different environments (OpenStack, Proxmox, Bare Metal) Experience with GitOps approach and ArgoCD/FluxCD Software development knowledge of at least one of these programming languages: Python, Bash (Go, Java can be an advantage) Strong Linux Administrator skills. (Managing network configuration, users, permissions, debugging various issues) Experience with Infrastructure as Code tools like Terraform/Ansible CI/CD environment creation and maintenance using Atlassian Bamboo/Azure Devops/Gitlab Actions Developing tests in a TDD approach Behave testing framework Qualifications Bachelor s degree in Computer Science, Engineering, or a related field 5+ years of experience as Platform Engineer Experience influencing application modernization and migration to cloud platforms. Worked with cloud providers: AWS, Azure, GCP Broad knowledge in systems logging, monitoring and telemetry (ELK, Grafana, Prometheus etc.) Knowledge of DevSecOps concepts and tools X-Ray (Artifactory), Trivy, CIS, Nessus, Sealed Secrets, SOPS, OWASP, Renovate Familiarity with GenAI tools, working and extending (Claude Code skills etc.) Experience documenting microservices based, system architectures via modeling diagrams and effectively transitioning those architectures to implementation teams</p><p><strong>Desired Candidate Profile</strong></p><p>Experience with Kubernetes and Docker (Using &amp; Administration, including deployment of Kubernetes or K3S)<br>Developing and maintaining Helm Charts and Dockerfiles from open<br>Deploying solutions in different environments (OpenStack, Proxmox, Bare Metal)<br>Experience with GitOps approach and ArgoCD/FluxCD<br>Software development knowledge of at least one of these programming languages: Python, Bash (Go, Java can be an advantage)<br>Strong Linux Administrator skills. (Managing network configuration, users, permissions, debugging various issues)<br>Experience with Infrastructure as Code tools like Terraform/Ansible<br>CI/CD environment creation and maintenance using Atlassian Bamboo/Azure Devops/Gitlab Actions<br>Developing tests in a TDD approach Behave testing framework<br>Qualifications Bachelor s degree in Computer Science, Engineering, or a related field<br>5+ years of experience as Platform Engineer<br>Experience influencing application modernization and migration to cloud platforms.<br>Worked with cloud providers: AWS, Azure, GCP<br>Broad knowledge in systems logging, monitoring and telemetry (ELK, Grafana, Prometheus etc.)<br>Knowledge of DevSecOps concepts and tools X-Ray (Artifactory), Trivy, CIS, Nessus, Sealed Secrets, SOPS, OWASP, Renovate<br>Familiarity with GenAI tools, working and extending (Claude Code skills etc.)<br>Experience documenting microservices based, system architectures via modeling diagrams and effectively transitioning those architectures to implementation teams</p>

<p>We are seeking an experienced Senior Linux &amp; Database Infrastructure Engineer to drive the reliability, scalability, and performance of our mission-critical, large-scale telecom environment. In this high-impact role, you will transition from routine operational maintenance to architecting, optimizing, and managing high-availability database clusters, containerized environments, cloud virtualization, and enterprise Linux platforms.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><p>1. Database Administration &amp; Optimization</p><ul><li>Architect, deploy, and maintain high-availability relational database infrastructure (Oracle, PostgreSQL, GaussDB, or MySQL) in active-active/active-standby configurations.</li><li>Perform advanced database tuning, query optimization, indexing strategies, table partitioning, and capacity planning.</li><li>Manage complex database backups, point-in-time recovery (PITR), disaster recovery (DR) drills, and multi-terabyte data migration projects under tight SLAs.</li></ul><p>2. Cloud &amp; Container Orchestration (OpenStack &amp; Kubernetes)</p><ul><li>Administer, scale, and troubleshoot enterprise OpenStack environments (compute nodes, Glance, Nova, Neutron networking, and Cinder storage).</li><li>Manage, configure, and operate production-grade Kubernetes clusters and Docker container environments for microservice deployments.</li><li>Oversee container networking (CNI), storage interfaces (CSI), ingress controllers, and service meshes across hybrid infrastructure.</li></ul><p>3. Enterprise Linux &amp; Infrastructure Operations</p><ul><li>Serve as the senior administrator for enterprise Linux platforms (RHEL, CentOS, Ubuntu Enterprise), including deep kernel parameter tuning, LVM management, and storage/SAN integration.</li><li>Perform L2/L3 incident handling, advanced system troubleshooting, and deep-dive Root Cause Analysis (RCA) for platform outages.</li><li>Automate infrastructure provisioning, configuration management, and patching using Ansible, Terraform, Python, and Shell scripting.</li></ul><p>4. Advanced Networking &amp; Security Integration</p><ul><li>Configure and troubleshoot complex Linux networking stacks, including routing tables, VLAN tagging, bonding, iptables/firewalls, and Open vSwitch (OVS).</li><li>Manage system-level network security, SSL/TLS certificate lifecycles, SSH hardening, and user access management (IAM/SUDO policies).</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Required Qualifications</h2><p>Education: Bachelor's degree in Computer Science, Telecommunications Engineering, Information Systems, or a related technical field.</p><p>Experience: 5+ years of hands-on professional experience in Enterprise Systems Administration, Database Administration, and Infrastructure Engineering within large-scale production environments (Telecom experience preferred).</p><h2>Technical Expertise</h2><p>Advanced Linux Administration: Deep expertise in Linux CLI, systemd, kernel optimization, memory management, storage subsystems (SAN/NAS/NFS), and storage management.</p><p>Database Administration &amp; SQL: Mastery in relational database management systems (RDBMS), SQL execution plan analysis, high availability (RAC/Data Guard/Replication), schema partitioning, and automated backup strategies.</p><p>Cloud &amp; Virtualization: Strong hands-on experience managing OpenStack tenants/infrastructure and core virtualized components.</p><p>Container Orchestration: Direct experience building and managing Docker containers and production Kubernetes clusters.</p><p>Enterprise Networking: Solid grasp of TCP/IP, OSI layers, DNS, routing protocols, NAT/CGNAT, firewalls, and network troubleshooting utilities (netstat, ss, tcpdump).</p><p>Automation &amp; IaC: Proficiency in Shell scripting, Python, and configuration management tools (e.g., Ansible).</p><h2>Preferred Certifications (Highly Regarded)</h2><ul><li>Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)</li><li>Red Hat Certified Engineer (RHCE) or Red Hat Certified Architect (RHCA)</li><li>Oracle Certified Professional (OCP) or equivalent RDBMS certification</li><li>Certified OpenStack Administrator (COA)</li><li>Cisco Certified Network Associate (CCNA) / Professional (CCNP)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Senior Linux &amp; Database Infrastructure Engineer&nbsp;</strong></p><br><br> <p><strong>Location:</strong> Cairo, Egypt <strong>Experience Level:</strong> 5+ Years</p><br><br> <p><strong>About the Role</strong></p><br><br> <p>We are seeking an experienced Senior Linux &amp; Database Infrastructure Engineer to drive the reliability, scalability, and performance of our mission-critical, large-scale telecom environment. In this high-impact role, you will transition from routine operational maintenance to architecting, optimizing, and managing high-availability database clusters, containerized environments, cloud virtualization, and enterprise Linux platforms.</p><br><br> <p><strong>Key Responsibilities</strong></p><br><br> <p><strong>1. Database Administration &amp; Optimization</strong></p><br><br> <ul> <li>Architect, deploy, and maintain high-availability relational database infrastructure (Oracle, PostgreSQL, GaussDB, or MySQL) in active-active/active-standby configurations.</li> <li>Perform advanced database tuning, query optimization, indexing strategies, table partitioning, and capacity planning.</li> <li>Manage complex database backups, point-in-time recovery (PITR), disaster recovery (DR) drills, and multi-terabyte data migration projects under tight SLAs.</li> </ul> <p><strong>2. Cloud &amp; Container Orchestration (OpenStack &amp; Kubernetes)</strong></p><br><br> <ul> <li>Administer, scale, and troubleshoot enterprise OpenStack environments (compute nodes, Glance, Nova, Neutron networking, and Cinder storage).</li> <li>Manage, configure, and operate production-grade Kubernetes clusters and Docker container environments for microservice deployments.</li> <li>Oversee container networking (CNI), storage interfaces (CSI), ingress controllers, and service meshes across hybrid infrastructure.</li> </ul> <p><strong>3. Enterprise Linux &amp; Infrastructure Operations</strong></p><br><br> <ul> <li>Serve as the senior administrator for enterprise Linux platforms (RHEL, CentOS, Ubuntu Enterprise), including deep kernel parameter tuning, LVM management, and storage/SAN integration.</li> <li>Perform L2/L3 incident handling, advanced system troubleshooting, and deep-dive Root Cause Analysis (RCA) for platform outages.</li> <li>Automate infrastructure provisioning, configuration management, and patching using Ansible, Terraform, Python, and Shell scripting.</li> </ul> <p><strong>4. Advanced Networking &amp; Security Integration</strong></p><br><br> <ul> <li>Configure and troubleshoot complex Linux networking stacks, including routing tables, VLAN tagging, bonding, iptables/firewalls, and Open vSwitch (OVS).</li> <li>Manage system-level network security, SSL/TLS certificate lifecycles, SSH hardening, and user access management (IAM/SUDO policies).</li> </ul> <p><strong>Required Qualifications</strong></p><br><br> <p><strong> Education: </strong>Bachelor's degree in Computer Science, Telecommunications Engineering, Information Systems, or a related technical field.</p><br><br> <p><strong> Experience: </strong>5+ years of hands-on professional experience in Enterprise Systems Administration, Database Administration, and Infrastructure Engineering within large-scale production environments (Telecom experience preferred).</p><br><br> <p><strong>Technical Expertise</strong></p><br><br> <ul> <li>Advanced Linux Administration: Deep expertise in Linux CLI, systemd, kernel optimization, memory management, storage subsystems (SAN/NAS/NFS), and storage management.</li> <li>Database Administration &amp; SQL: Mastery in relational database management systems (RDBMS), SQL execution plan analysis, high availability (RAC/Data Guard/Replication), schema partitioning, and automated backup strategies.</li> <li>Cloud &amp; Virtualization: Strong hands-on experience managing OpenStack tenants/infrastructure and core virtualized components.</li> <li>Container Orchestration: Direct experience building and managing Docker containers and production Kubernetes clusters.</li> <li>Enterprise Networking: Solid grasp of TCP/IP, OSI layers, DNS, routing protocols, NAT/CGNAT, firewalls, and network troubleshooting utilities (netstat, ss, tcpdump).</li> <li>Automation &amp; IaC: Proficiency in Shell scripting, Python, and configuration management tools (e.g., Ansible).</li> </ul> <p><strong>Preferred </strong></p><br><br> <p><strong>Certifications (Highly Regarded):</strong></p><br><br> <ul> <li>Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)</li> <li>Red Hat Certified Engineer (RHCE) or Red Hat Certified Architect (RHCA)</li> <li>Oracle Certified Professional (OCP) or equivalent RDBMS certification</li> <li>Certified OpenStack Administrator (COA)</li> <li>Cisco Certified Network Associate (CCNA) / Professional (CCNP)</li> </ul><br> </div>

<p>Role Summary: The AWS Solutions Architect will play a critical role in designing, implementing, and optimizing Amazon Connect contact center solutions for our clients. The ideal candidate will possess deep expertise in Amazon Web Services (AWS), a comprehensive understanding of contact center operations, and the ability to translate complex business requirements into effective technical solutions.</p><p>Key Responsibilities:</p><ul><li>Solution Design: Design robust, scalable, and secure Amazon Connect solutions, encompassing call flows, IVR, chatbots, and integration with other AWS services and third-party systems.</li><li>Implementation: Lead the deployment of Amazon Connect projects, ensuring solutions are delivered according to client specifications, timelines, and budgets.</li><li>Optimisation: Continuously assess and refine Amazon Connect configurations to enhance performance, efficiency, and customer experience.</li><li>Stakeholder Collaboration: Collaborate closely with business stakeholders, project managers, and development teams to gather requirements and deliver client-specific solutions.</li><li>Technical Leadership: Provide technical guidance and mentorship to junior architects and developers, fostering a culture of continuous learning and development.</li><li>Documentation: Develop and maintain comprehensive documentation for architectural designs, implementation plans, and operational procedures.</li><li>Training: Conduct training sessions for internal teams and clients to ensure effective utilization of Amazon Connect solutions.</li><li>Compliance and Security: Ensure that all solutions adhere to industry standards, regulatory requirements, and PwC s security policies.</li></ul><p>Preferred Skills and Experience:</p><p>Education: Bachelor s degree in Computer Science, Information Technology, or a related field (Master s preferred).</p><p>Experience: Experience in cloud architecture and AWS services. Hands-on experience with Amazon Connect. Proven track record of designing and deploying contact center solutions.</p><p>Technical Skills: Proficiency in AWS services including Lambda, S3, DynamoDB, IAM, and CloudFormation. Strong knowledge of telephony, VoIP, IVR, and contact center technologies. Experience with programming languages such as Python, JavaScript, or Node.js. Familiarity with CRM systems (e.g., Salesforce, Zendesk) and integration best practices.</p><p>Certifications: AWS Certified Solutions Architect Associate or Professional; additional certifications in Amazon Connect are a plus.</p><p>Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Proven ability to manage multiple projects and priorities in a fast-paced environment.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: Bachelor s degree in Computer Science, Information Technology, or a related field (Master s preferred).</p><p>Experience: Experience in cloud architecture and AWS services. Hands-on experience with Amazon Connect. Proven track record of designing and deploying contact center solutions.</p><p>Technical Skills: Proficiency in AWS services including Lambda, S3, DynamoDB, IAM, and CloudFormation. Strong knowledge of telephony, VoIP, IVR, and contact center technologies. Experience with programming languages such as Python, JavaScript, or Node.js. Familiarity with CRM systems (e.g., Salesforce, Zendesk) and integration best practices.</p><p>Certifications: AWS Certified Solutions Architect Associate or Professional; additional certifications in Amazon Connect are a plus.</p><p>Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Proven ability to manage multiple projects and priorities in a fast-paced environment.</p>

We're looking for a Data Analysis Specialist to turn raw data into clear, actionable insights that drive business decisions. You'll work closely with teams across the company to identify trends, build reports, and answer the "why" behind the numbers. This is a great opportunity for someone who loves solving problems with data and communicating findings in ways that non-technical stakeholders can act on. What You'll DoCollect, clean, and organize data from multiple sources (databases, spreadsheets, APIs) Analyze datasets to identify trends, patterns, and opportunities Build and maintain dashboards and reports using tools like Excel, SQL, Tableau, or Power BIPartner with stakeholders to understand business questions and translate them into data-driven answers Present findings clearly to both technical and non-technical audiences Monitor key metrics and flag anomalies or emerging trends Support forecasting, A/B testing, and other quantitative initiatives Ensure data accuracy, integrity, and consistency across reporting What We're Looking For Bachelor's degree in Statistics, Economics, Data Science, Computer Science, or a related field (or equivalent experience)2+ years of experience in a data analysis, business intelligence, or similar role Proficiency in SQL and Excel; experience with Python or R a plus Experience with data visualization tools (Tableau, Power BI, Looker, or similar) Strong analytical thinking and attention to detail Ability to communicate complex findings in a simple, compelling way Comfortable working independently and managing multiple priorities

<p>2.1 Custom Development</p><p>• Design, build, and maintain custom Odoo modules using Python and Odoo's ORM</p><p>framework</p><p>• Extend or override existing Odoo modules using inheritance patterns (classical, prototype,</p><p>delegation)</p><p>• Develop custom reports using QWeb (PDF and HTML) and configure BI views and</p><p>dashboards</p><p>• Build automated actions, scheduled jobs (cron), and server-side business logic</p><p>• Implement custom wizards, transient models, and multi-step workflows</p><p></p><p>2.2 Integration and API Development</p><p>• Design and implement REST API integrations between Odoo and external systems (MES,</p><p>logistics platforms, third-party services)</p><p>• Use Odoo's XML-RPC and JSON-RPC interfaces for external connectivity</p><p>• Develop and maintain integration with Egypt Tax Authority (ETA) e-invoicing APIs</p><p>• Build webhook handlers and event-driven automation where required</p><p>• Ensure data integrity and error handling in all integration workflows</p><p></p><p>2.3 Technical Configuration and Maintenance</p><p>• Manage Odoo server configuration, module upgrades, and version migrations</p><p>• Maintain and optimize PostgreSQL database performance, including query analysis and</p><p>indexing</p><p>• Write and maintain deployment scripts, Docker configurations, and CI/CD pipelines where</p><p>applicable</p><p>• Conduct code reviews and ensure adherence to Odoo community coding standards</p><p>• Support UAT by resolving technical defects and regression issues</p><p></p><p>2.4 Documentation and Communication</p><p>• Produce clear technical specifications, module documentation, and integration guides</p><p>written in English</p><p>• Communicate technical constraints and trade-offs clearly to non-technical stakeholders</p><p>• Maintain a change log and versioning discipline for all custom code in Git</p><p>• Participate in sprint planning, daily stand-ups, and technical review sessions</p><p></p><p>3. Required Qualifications and Experience</p><p>3.1 Technical Skills</p><p>• Minimum 3 years of hands-on Odoo development experience (versions 16 through 19</p><p>preferred)</p><p>• Strong Python proficiency: OOP, decorators, generators, async patterns, and clean code</p><p>practices</p><p>• Deep knowledge of Odoo ORM: models, fields, recordsets, constraints, [removed], compute,</p><p>depends</p><p>• Experience with Odoo 19 framework changes and new API patterns is a strong advantage</p><p>• Solid understanding of PostgreSQL: schema design, query optimization, and raw SQL when</p><p>needed</p><p>• Proficiency in Odoo frontend technologies: OWL (Odoo Web Library), JavaScript ES6+,</p><p>XML QWeb templates</p><p>• Experience with Git version control and branching strategies (GitFlow or similar)</p><p>• Familiarity with Linux server administration (Ubuntu), Docker, and basic DevOps practices</p><p>• Understanding of REST API design principles and experience with external API integrations</p><p>• Knowledge of ETA e-invoicing technical specifications is a significant advantage</p><p><strong>Requirements</strong></p><ul><li><p>3.2 Professional Experience</p><p>• Bachelor degree in Computer Science, Software Engineering, or a related technical</p><p>discipline</p><p>• At least two completed Odoo development projects from specification through deployment</p><p>• Demonstrated experience contributing to or maintaining a multi-module Odoo codebase</p><p>• Experience with Odoo Enterprise Edition and its proprietary module structure is preferred</p><p></p><p>• Prior exposure to manufacturing or logistics ERP environments is an advantage</p><p></p><p>3.3 Language Requirements</p><p>• Professional written English is mandatory. All technical documentation, code comments,</p><p>commit messages, and formal communications must be in English</p><p>• Spoken English proficiency sufficient for clear participation in technical meetings and</p><p>stakeholder discussions</p><ul><li><p>• Arabic (Egyptian dialect) is a strong advantage for internal team communication</p></li></ul></li></ul><p></p>

Key Responsibilities Performance Testing & Execution Design, develop, and execute performance, load, stress, endurance, and scalability test scenarios. Develop automated performance test scripts using tools such as JMeter, Load Runner, Gatling, or similar. Establish test data, test environments, and workload models based on real user behaviors. Conduct root-cause analysis for performance issues and provide optimization recommendations. Analysis & Reporting Analyze system metrics (CPU, memory, I/O, database performance, network utilization) using APM tools (e.g., Dynatrace, App Dynamics, New Relic). Prepare detailed performance reports highlighting findings, bottlenecks, risks, and improvement actions. Benchmark system performance across releases and track performance KPIs over time. Collaboration & Technical Support Work closely with developers, architects, Dev Ops, and product teams to validate performance requirements and ensure system readiness. Participate in architecture and design reviews to provide performance-related insights. Guide junior engineers on performance engineering best practices and tools. Performance Engineering & Optimization Recommend improvements to system design, database queries, API tuning, caching strategies, and infrastructure scaling. Support continuous performance monitoring and early detection of performance degradation in production. Required Qualifications Education Bachelor’s degree in Computer Science, Software Engineering, or a related field. Experience3+ years of hands-on experience in performance testing and performance engineering. Strong experience with performance testing tools (JMeter, Load Runner, Gatling, etc.). Solid experience in scripting (Java, Python, Java Script, or similar). Experience working with microservices, APIs, cloud environments, and distributed systems

Mixel, a Silvaco Company, is an innovator of high-performance analog mixed signal semiconductor IPs whose solutions are powering Mobile, Display, Camera, Automotive, VR, AR and AI applications.<br><br>Our mission is to provide our customers and partners with outstanding mixed-signal, silicon-proven IPs, creating in the process a differentiating technology that sets your products apart.<br><br>At Mixel, you will find an inspiring environment with a strong focus on technical innovation, people well-being, no layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, empathy, mutual trust, and respect.<br><br>Job Description<br><br>Kick-start your career with Mixel-Egypt's 3-month Internship Program. Learn from experienced engineers, contribute to real engineering projects, and develop practical skills using industry-leading design methodologies, tools, and workflows in a collaborative, innovation-driven environment.<br><br>Qualifications<br><br>Essential Qualifications and Experience: <br><br>Bachelor’s degree of : Electronics/Computer Engineering. English Language Proficiency: Fluency Computer skills required: Unix/Linux operating system Experience with Python shell scripting/programming languages (TCL, Perl, Skill, Makefile, and Shell) is a plus. <br><br>Desirable Qualifications And Experience<br><br>Experience with data management tools (Subversion, CVS, GIT) is a plus. Unix/Linux operating systems. <br><br>Additional Information<br><br>Please add your current GPA (or latest academic grade) and military status (if applicable) to your resume. Outstanding interns may be considered for future full-time opportunities based on performance and business needs.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span style="font-size: 11px;">Connect to your opportunity</span></p><ul><li>Identify and solve complex problems using a structured and logical approach.</li><li>Stay up to date on the latest data engineering technologies and trends.</li><li>Work with other engineering teams to integrate data engineering solutions with other systems.</li><li>Maintain and optimize data systems to ensure high availability and performance.</li><li>Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.</li><li>Gather requirements from stakeholders and translate them into technical specifications.</li><li>Lead a team of data engineers in the design, development, and implementation of data engineering solutions.</li><li>Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.</li><li>Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.</li><li>Manage multiple projects simultaneously in a highly organized and efficient manner.</li><li>Think creatively and come up with new solutions to problems.</li><li>Communicate effectively with technical and non-technical audiences, both verbally and in writing.</li></ul><p>Connect to your skills and professional experience</p><ul><li><b>Technical skills:</b></li><li>7+ years of relevant experience.</li><li>Cloud computing platforms: AWS/Azure/GCP</li><li>Programming languages: Python/Java/Scala &amp; Unix Shell scripting</li><li>Data warehouse technologies: Redshift/Snowflake/Big Query</li><li>Data lake technologies: Hadoop, Apache Beam, Spark, and Hive</li><li>Orchestration: Airflow/Control-M/(Any Orchestration tool)</li><li>Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn</li></ul><p>Connect to your service line - Technology &amp; Transformation</p><p>Distinctive thinking, deep expertise, and collaborative working. That s what connects us. That s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we ll make an impact that matters.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Identify and solve complex problems using a structured and logical approach.</li><li>Stay up to date on the latest data engineering technologies and trends.</li><li>Work with other engineering teams to integrate data engineering solutions with other systems.</li><li>Maintain and optimize data systems to ensure high availability and performance.</li><li>Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.</li><li>Gather requirements from stakeholders and translate them into technical specifications.</li><li>Lead a team of data engineers in the design, development, and implementation of data engineering solutions.</li><li>Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.</li><li>Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.</li><li>Manage multiple projects simultaneously in a highly organized and efficient manner.</li><li>Think creatively and come up with new solutions to problems.</li><li>Communicate effectively with technical and non-technical audiences, both verbally and in writing.</li></ul><b>Technical skills:</b><ul><li>7+ years of relevant experience.</li><li>Cloud computing platforms: AWS/Azure/GCP</li><li>Programming languages: Python/Java/Scala &amp; Unix Shell scripting</li><li>Data warehouse technologies: Redshift/Snowflake/Big Query</li><li>Data lake technologies: Hadoop, Apache Beam, Spark, and Hive</li><li>Orchestration: Airflow/Control-M/(Any Orchestration tool)</li><li>Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn</li></ul><p></p></section>

About The Role<br><br>We are looking for an experienced Full Stack Team Lead to lead the design, development, and delivery of scalable software solutions. You will manage a team of engineers while remaining hands-on in architecture, development, and technical decision-making.<br><br>Key Responsibilities<br><br> Lead and mentor a team of web, backend, and mobile developers. Design and develop scalable web applications, services, and APIs. Define software architecture standards and best practices. Translate business requirements into technical solutions. Drive Agile development processes and delivery planning. Conduct code reviews and ensure code quality. Collaborate with product, business, and UI/UX teams. Ensure application performance, security, and scalability. Support CI/CD processes and deployment activities. Research and recommend new technologies and improvements.<br><br>Requirements<br><br> 7+ years of software development experience. 2+ years of experience leading development teams. Strong experience with Java, PHP, Python, Node.js, or similar backend technologies. Strong understanding of OOP, Design Patterns, MVC, MVVM, and Microservices Architecture. Experience with SQL databases such as Oracle, MSSQL, or Postgre SQL. Experience with Agile/Scrum methodologies. Experience with CI/CD and source control systems. Strong problem-solving and communication skills. Experience developing enterprise-grade web applications.<br><br>Nice To Have<br><br> AWS or other cloud platforms. Docker and Kubernetes. Kafka and Elasticsearch. Angular, Flutter, or modern frontend frameworks.<br><br>Education<br><br> Bachelor’s degree in Computer Science, Engineering, or a related field. Professional proficiency in Arabic and English.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>What You ll Do </b>Lead Performance Studies (50%) You will gather and connect datasets across performance, candidate profiles, training outcomes, and attrition You will clean, validate, and structure data for analysis You will run statistical analyses (correlation, regression, ANOVA, exploratory analysis) You will translate findings into clear insights tied to performance, ramp, and retention You will deliver structured reports with actionable recommendations within a 5 7 week timeline Build Talent Dashboards (15%) You will build and maintain B2B Sales Talent dashboards (Domo preferred) You will translate complex data into simple, actionable visual insights You will partner with Data Engineering and TA teams to ensure data access and alignment on metrics You will continuously improve reporting to reflect evolving business needs Future-Ready Talent Reporting &amp; Ad Hoc Analysis (35%) You will deliver fast-turnaround analyses across headcount, attrition, hiring lead times, training, certifications, and workforce trends You will support QBRs and executive reporting with accurate, clear, and actionable data You will manage and prioritize incoming reporting requests to ensure timely delivery You will compile and analyze client footprint, historical attrition, and regional workforce trends You will build executive-ready reports with clear takeaways and recommendations You will maintain strong data accuracy, documentation, and governance standards What You Bring Technical Skills You have strong data analysis skills (Excel required; SQL preferred; Python or R a plus) You have experience with BI tools (Domo, Tableau, or Power BI) You understand statistical methods (correlation, regression, hypothesis testing, ANOVA) You are comfortable working with large, complex datasets Business &amp; Communication Skills You can translate data into clear, actionable insights You communicate effectively with both technical and non-technical stakeholders You are comfortable supporting executive-level reporting You have strong attention to detail and care about data accuracy Experience You have experience in Talent Analytics, Workforce Analytics, or a similar field You understand performance-driven environments (B2B sales experience is a plus) You are familiar with hiring, onboarding, and attrition metrics How You ll Be Measured You deliver high-quality insights that influence hiring and talent strategy You consistently meet timelines for reporting and analysis Your dashboards are adopted and used by stakeholders Your work drives measurable improvements in performance, ramp, and retention</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><strong>Technical Skills</strong> You have strong data analysis skills (Excel required; SQL preferred; Python or R a plus) You have experience with BI tools (Domo, Tableau, or Power BI) You understand statistical methods (correlation, regression, hypothesis testing, ANOVA) You are comfortable working with large, complex datasets</li><li><strong>Business &amp; Communication Skills</strong> You can translate data into clear, actionable insights You communicate effectively with both technical and non-technical stakeholders You are comfortable supporting executive-level reporting You have strong attention to detail and care about data accuracy</li><li><strong>Experience</strong> You have experience in Talent Analytics, Workforce Analytics, or a similar field You understand performance-driven environments (B2B sales experience is a plus) You are familiar with hiring, onboarding, and attrition metrics</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Software Engineer designs, develops, and maintains scalable, secure, and high-quality software solutions across backend and frontend components. This role collaborates closely with cross-functional teams to deliver reliable applications, support cloud deployment, and continuously improve performance, quality, and operational stability.</p><p>Responsibilities:</p><ul><li>Design, develop, and maintain scalable software solutions across backend and frontend components.</li><li>Build and consume APIs and services using modern programming languages and frameworks.</li><li>Collaborate with product managers, designers, and engineers to translate requirements into technical solutions.</li><li>Write clean, maintainable, and well-tested code following engineering best practices.</li><li>Optimize application performance, security, and reliability.</li><li>Participate in code reviews, testing, and continuous improvement initiatives.</li><li>Support deployment, monitoring, and troubleshooting of applications in cloud environments.</li><li>Contribute to documentation, technical standards, and knowledge sharing within the team.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience). 4+ years of experience in software development (frontend, backend, or full stack). Outstanding English communication, both verbal and non-verbal. Proficiency in at least one backend language (e.g., Python, TypeScript, Go) and modern frontend frameworks. Experience with RESTful APIs and database technologies (SQL and/or NoSQL). Familiarity with cloud platforms (Azure or AWS) and CI/CD pipelines. Understanding of version control systems (Git) and collaborative development workflows. Knowledge of testing practices, software design principles, and security fundamentals. Strong problem-solving skills, communication abilities, and a collaborative mindset. Fluency in English is a must.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking two motivated Localization Engineering Interns to support our Localization Engineering team. The interns will gain hands-on experience with localization workflows, translation technologies, automation tools, and file engineering processes.</p><p>Key Responsibilities</p><ul><li>Assist with file preparation and processing for localization projects.</li><li>Support engineering tasks related to translation and localization workflows.</li><li>Perform quality assurance (QA) checks on localized files and deliverables.</li><li>Assist in troubleshooting file format and technical issues.</li><li>Support automation initiatives and process improvement activities.</li><li>Generate and maintain project-related reports and documentation.</li><li>Work with CAT tools, translation management systems, and localization platforms.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Currently pursuing or recently completed a Bachelor's degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, BIS, or a related field.</li><li>Basic understanding of programming concepts.</li><li>Familiarity with Microsoft Office applications.</li><li>Strong analytical and problem-solving skills.</li><li>Good attention to detail and organizational skills.</li><li>Ability to learn new technologies and tools quickly.</li><li>Good written and verbal communication skills in English.</li><li>Ability to work independently and as part of a team.</li><li>Basic knowledge of Python, PowerShell, or other scripting languages.</li><li>Familiarity with localization, translation.</li><li>Knowledge of XML, HTML, JSON, or other structured file formats.</li><li>Exposure to automation tools or workflow optimization projects.</li><li>Exposure to real-world localization engineering workflows.</li><li>Experience with industry-standard localization and translation technologies.</li><li>Hands-on involvement in automation and process improvement initiatives.</li><li>Mentorship from experienced Localization Engineers.</li><li>Opportunity to develop technical, analytical, and project management skills.</li></ul><p></p></section>

Responsibilities Linux Systems Administration Install, configure, manage, and harden Linux systems (RHEL). Monitor system performance, availability, and log data. Perform patching, upgrades, and capacity planning. Manage users, permissions, storage, and backups. Troubleshoot OS-level issues and performance bottlenecks. Enforce security policies and system hardening standards. Administer Red Hat Identity Manager. Administer Red Hat Satellite Automation & Configuration Management Develop and maintain Ansible playbooks and roles for system provisioning and configuration. Automate repetitive tasks and manage configuration with Ansible Dev Ops Deploy, maintain, and operate Kubernetes clusters. Manage workloads, namespaces, networking, and storage. Administer CI/CD pipelines and Tools<br>Requirements Technical Skills Advanced Linux administration experience. Strong Ansible automation skills. Solid Kubernetes administration knowledge. Bash and/or Python scripting skills. Experience with Docker or Podman. Familiarity with CI/CD tools and pipelines. Experience with monitoring and logging tools. Strong networking fundamentals (TCP/IP, Layer 2/3, etc..). Experience with Git-based workflows. Qualifications2 years in Linux systems administration or Dev Ops roles. Hands-on experience managing production systems. Ability to troubleshoot complex multi-layer issues. Documentation and operational discipline. Experience with RHEL-based environments. Preferred (Bonus Points) RHCSA (Red Hat Certified System Administrator) RHCE (Red Hat Certified Engineer) Soft Skills Strong problem-solving ability. Clear documentation and communication. Ability to work under pressure. Flexibility to work late hours and on weekends

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Our Company</strong>&nbsp;</p><br> <p>Teradata is&nbsp;the&nbsp;connected multi-cloud data platform for enterprise analytics&nbsp;company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the&nbsp;future,&nbsp;today.&nbsp;</p><br> <p>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to&nbsp;optimize&nbsp;price performance in a multi-cloud environment.&nbsp;&nbsp;</p><br> <p><strong>What&nbsp;You'll&nbsp;Do</strong>&nbsp;</p><br> <ul> <li><strong>What the role is about:&nbsp;</strong> As a Principal/Staff Data Scientist at Teradata, you will serve as a senior individual contributor responsible for defining analytical approaches, scoping complex data science projects, and delivering high-impact solutions across multiple industries. You will tackle&nbsp;highly complex&nbsp;and ambiguous problems,&nbsp;architect&nbsp;end-to-end data science workflows, and&nbsp;provide&nbsp;deep technical guidance to cross-functional teams-without direct people management responsibilities.&nbsp;</li> </ul> <ul> <li><strong>What&nbsp;impact&nbsp;this role has:</strong>Your&nbsp;expertise&nbsp;will shape the technical direction of data science initiatives, influence solution design across teams, and help internal and external stakeholders make well-informed decisions. By&nbsp;leveraging&nbsp;advanced modeling, statistical rigor, and deep domain insight, you will ensure that Teradata delivers scalable, high-quality analytical solutions that drive measurable business value for our clients.&nbsp;</li> </ul> <ul> <li><strong>What success might look like:&nbsp;</strong>Success in this role means independently leading the most challenging parts of data science engagements, producing reliable and scalable solutions, and serving as a trusted technical advisor to product managers, engineers, and business stakeholders. You will be recognized for your ability to translate complex business problems into well-scoped analytical strategies, and for consistently raising the technical bar across the team.&nbsp;</li> </ul> <p><strong>Who&nbsp;You'll&nbsp;Work With</strong>&nbsp;</p><br> <ul> <li><strong>An outline of the team:&nbsp;</strong> You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, solution architects, and business stakeholders. You will contribute as a high-level technical expert, helping teams navigate complexity and ensuring that analytical solutions are sound, scalable, and aligned with business needs.&nbsp;&nbsp;</li> </ul> <ul> <li><strong>The role and the team play at Teradata:</strong> &nbsp;The data science team at Teradata plays a crucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusable methodologies, and help shape best practices for developing advanced analytical solutions across multiple engagements.&nbsp;</li> </ul> <ul> <li><strong>Who the position reports to:</strong> This position reports to the Data Science Team Manager.&nbsp;</li> </ul> <p><strong>What Makes You a Qualified Candidate</strong>&nbsp;</p><br> <p>Non-negotiable qualifications:&nbsp;</p><br> <ul> <li>Minimum of 8 years of experience in data science, machine learning, or applied analytics.&nbsp;</li> </ul> <ul> <li>Expertise in&nbsp;programming languages such as Python and SQL.&nbsp;</li> </ul> <ul> <li>Strong understanding of advanced statistical methods, machine learning, deep learning, and GenAI techniques.&nbsp;</li> </ul> <ul> <li>Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities.&nbsp;</li> </ul> <ul> <li>Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.&nbsp;&nbsp;</li> </ul> <p><strong>What&nbsp;You'll&nbsp;Bring</strong>&nbsp;</p><br> <ul> <li><strong>Advanced Data Analysis and Modeling:</strong>&nbsp;Perform&nbsp;highly complex&nbsp;data analysis and build sophisticated predictive and prescriptive models using advanced statistical, machine learning, and deep learning techniques.&nbsp;</li> </ul> <ul> <li><strong>Technical Leadership:</strong>&nbsp;Define analytical approaches, scope data science components in partnership with PMs, and lead the technical direction of projects across multiple industries.&nbsp;</li> </ul> <ul> <li><strong>Cross-Functional Collaboration:</strong>&nbsp;Work closely with data engineers, product managers, and business stakeholders to&nbsp;align on&nbsp;requirements, solution direction, and implementation plans.&nbsp;</li> </ul> <ul> <li><strong>Data Exploration:</strong>&nbsp;Explore large and diverse datasets to uncover insights, evaluate feasibility, and guide model and feature design.&nbsp;</li> </ul> <ul> <li><strong>Model Deployment:</strong>&nbsp;Collaborate with engineering teams to implement,&nbsp;optimize, and&nbsp;maintain&nbsp;machine learning models in production environments, ensuring scalability, performance, and reliability.&nbsp;</li> </ul> <ul> <li><strong>Mentorship:</strong>&nbsp;Provide informal technical mentoring, conduct deep code/model reviews, and guide other data scientists in best practices-without direct people management.&nbsp;</li> </ul> <ul> <li><strong>Communication:</strong>&nbsp;Present complex findings, trade-offs, and solution paths to technical teams, business partners, and customer stakeholders in a clear and concise manner.&nbsp;</li> </ul> <ul> <li><strong>Continuous Improvement:</strong>&nbsp;Stay current with emerging data science, machine learning, and GenAI advancements, applying new techniques to enhance solution quality and accelerate delivery.&nbsp;</li> </ul> <p><strong>Why We Think&nbsp;You'll&nbsp;Love Teradata&nbsp;</strong>&nbsp;</p><br> <p>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster&nbsp;an equitable&nbsp;environment that celebrates&nbsp;people&nbsp;for all of who they are.&nbsp;</p><br> <p><span><span><span><span>#LI-AB1 </span></span></span>&nbsp;</span></p><br> </div>

Monglish is looking for an experienced Senior Full Stack Developer to join our growing team. The ideal candidate will have strong expertise in building scalable web applications, designing robust backend systems, and delivering high-quality user experiences.<br>Responsibilities:<br>Design, develop, and maintain scalable full-stack web applications. Build and optimize frontend interfaces with modern frameworks and technologies. Develop secure, high-performance backend services and APIs. Design and manage databases, ensuring performance, reliability, and data integrity. Collaborate with product managers, designers, and developers to deliver new features. Review code, improve development standards, and mentor junior developers. Troubleshoot complex technical issues and provide effective solutions. Participate in architecture decisions and technical planning. Ensure application security, scalability, and maintainability. Stay updated with emerging technologies and recommend improvements.<br>Requirements:<br>5+ years of experience as a Full Stack Developer or similar role. Strong experience with frontend technologies such as React, Angular, or Vue.js. Strong backend development experience using technologies such as Node.js, . NET, Java, Python, or similar. Solid understanding of RESTful APIs and system integrations. Experience with SQL and/or NoSQL databases. Strong knowledge of software architecture and design patterns. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. Familiarity with Git, CI/CD pipelines, and modern development workflows. Strong problem-solving and analytical skills. Ability to work independently and collaborate effectively within a team. Excellent communication skills and attention to detail.<br>Nice to Have:<br>Experience working in EdTech, language learning, or AI-powered products. Experience with AI integrations or automation tools. Experience leading technical projects or mentoring developers.<br>What We Offer:<br>Opportunity to work on an innovative product at Monglish. A collaborative and growth-focused environment. Competitive compensation package. Opportunities for professional development and learning.<br>Work Conditions:<br>Full-time position.5 working days per week.9 working hours per day. Work from office. Collaborative and professional working environment at Monglish.

Our Tech Ops & Support Engineer Ensures the stability, availability, and performance of production environments by monitoring systems, automating operational processes, supporting deployments, resolving incidents, and maintaining secure, reliable platform operations.<br><br>Responsibilities<br><br>Monitor, maintain, and optimize production environments to ensure high availability, performance, and compliance with established service level objectives (SLAs/SLOs) Manage deployments, CI/CD pipelines, and release activities while supporting configuration management and environment consistency across production and non-production environments Administer and troubleshoot containerized platforms, IBM Cloud Pak Stacks, Confluent, Elasticsearch, and supporting infrastructure to ensure reliable system operations Investigate incidents, perform root cause analysis, implement corrective actions, and contribute to post-incident reviews to improve service reliability Configure and maintain monitoring, logging, and alerting solutions to proactively identify performance issues and minimize service disruptions Support backup, disaster recovery, security, patching, and operational compliance activities while maintaining accurate technical documentation and runbooks Collaborate with Development, QUALITY, Platform Engineering, Network, and Support teams to resolve complex technical issues and continuously improve operational processes<br><br><br>Requirements<br><br><br>Bachelor's degree or Diploma in Computer Science, Engineering, or a related field Around 2+ years of experience in Technical Operations, Production Support, Site Reliability Engineering (SRE), Dev Ops, or System Administration Good experience with Linux/Windows administration, Docker, Kubernetes, Open Shift, CI/CD pipelines, automation tools (Jenkins, Git Lab CI, Git Hub Actions), and scripting (Bash, Power Shell, Python) Working knowledge of IBM Cloud Pak solutions (CP4BA, CP4I, CP4D), Confluent, Elasticsearch, Databases (SQL, DB2, Mongo DB, etc.), and observability platforms such as Grafana and Prometheus Good understanding of networking fundamentals, security best practices, IAM, backup and disaster recovery, configuration management, and production environment support Strong troubleshooting, incident management, root cause analysis, communication, and collaboration skills with the ability to work effectively under pressure Ability to participate in on-call support, prioritize operational issues, and deliver reliable production support while driving continuous service improvement