Lead Quality Assurance Engineer

Company Description Mideast Communication Systems (MCS) is a technology solutions provider founded in 2006 with a strong focus on information security and end-to-end IT infrastructure. The company delivers turnkey solutions across information security, computing, data storage, networking, and building automation systems. MCS complements its solutions with value-added services, including hands-on implementation and authorized training to support client success. Over the past decade, MCS has built a distinguished team and secured distribution rights for leading IT products, enabling innovative technology solutions tailored to the evolving needs of the Egyptian and regional markets. Key Responsibilities : Build practical experience with PAM technologies by configuring managed systems and accounts, access policies, credential management, session controls, and integrations. Work with Active Directory, including users, groups, organizational units, Group Policy, LDAP/LDAPS, Kerberos, and DNS as they relate to access and security solutions. Configure and troubleshoot authentication and federation integrations using SAML and MFA technologies, including identity-provider and service-provider connectivity. Apply networking fundamentals when deploying security solutions, including TCP/IP, routing, switching, VLANs, firewall rules, NAT, VPN, DNS, HTTPS, TLS, SSH, and RDP. Participate in solution deployment activities such as installation, configuration, integration testing, validation, documentation, and handover. Troubleshoot technical issues across network, identity, authentication, certificates, connectivity, and access-control layers during implementations. Use PowerShell, Python, Bash, or APIs for repeatable configuration, automation, validation, and integration tasks where appropriate. Qualifications: Bachelor's degree in computer science, Information Technology, Cybersecurity, Engineering, or a related field. At least 1 year of hands-on technical experience in cybersecurity, networking, infrastructure, identity, systems administration, or a related field. Good networking foundation, including TCP/IP, routing, switching, VLANs, DNS, NAT, VPNs, firewall concepts, HTTP/HTTPS, TLS, SSH, and RDP. Working knowledge of Active Directory and enterprise authentication concepts. Foundational to working knowledge of PAM concepts such as privileged accounts, credential vaulting, password rotation, access workflows, approvals, and privileged-session management. Foundational understanding of SAML, single sign-on, identity providers, service providers, and MFA concepts. Ability to understand technical designs and translate them into configuration and implementation tasks with appropriate guidance. Basic scripting or automation capability using PowerShell, Python, Bash, or REST APIs is preferred. Strong troubleshooting, documentation, communication, and technical learning skills. Show more

At Sana Commerce, we're committed to creating an inclusive environment because we know our diverse workforce is one of our greatest strengths. B2B commerce is evolving fast and Sana Commerce is built to lead it. We help manufacturers, distributors, and wholesalers create seamless digital buying experiences that strengthen customer relationships and drive real business growth. We're on a mission to become the go-to commerce platform for B2B companies navigating complexity at scale. That means constantly pushing the boundaries of what's possible in ERP-integrated commerce and building a team bold enough to get us there. At Sana Commerce, we’re looking for an AI Engineer who can help us build a high performance, scalable e-commerce platform. You will be playing a critical role in expanding our product at speed, while building features that help our customers grow, and contributing to our initiative of bringing engineering excellence to a new level. Who we are: Champions of Our League. "We deliver lasting success, balancing quick wins and long-term value." We take pride in our unique product and extensive B2B knowledge and continuously strive to improve. No matter our role, we bring value every day, helping our customers and partners succeed. Supercharge Our Customers. "We’re revolutionizing B2B commerce together, helping our customers to lead and succeed." Our customers are at the heart of everything we do. We go beyond solutions, providing the tools and support they need to grow. Determined to Grow. "We embrace challenges, growing and raising the bar for ourselves and our industry." We take on challenges, seek feedback, and keep learning. Every setback is a chance to improve and move forward. Bold Together. "We dare to be bold because we have each other’s back." We collaborate across teams and time zones, challenge the status quo, and support each other to achieve the best outcomes. Job Description What you'll be doing Design, develop, and deliver AI-powered features in Sana Commerce – agents that act on real commerce data (catalog, pricing, inventory, orders) Work with modern LLM frameworks and toolchains (e.g. any of Lang*, AWS Bedrock, MS Foundry, Cloudfare Agents, etc…)[VL1.1] to build RAG systems, AI Agents, and dynamic workflows – while understanding the raw agentic loop underneath them Work in a cross-functional team (Engineering, Product, Design) to integrate AI seamlessly into a distributed product Apply solid AI engineering principles end to end, from context and tool design through evaluation, deployment and continuous improvement Build the eval and feedback loops that gate releases: curated datasets, metrics and thresholds that block a regression the way a failing test does Design for failure by building the recovery path before the happy path Contribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelines Stay on top of emerging AI tools and frameworks, helping shape the vision and roadmap of Sana Commerce Qualifications What you bring Proven commercial experience building and deploying production-grade AI applications. 4+ years of web application engineering experience Strong software engineering (back-end, front-end nice to have) and SDLC fundamentals (design patterns, SOLID principles, experience with building complex MACH systems, CI/CD, testing) Apply strong backend and system design principles to ensure deterministic behaviour where needed, clear failure handling, human-in-the-loop controls, and production readiness. Practical knowledge of LLMs, their components (tokenization, attention, embeddings, vector search), and common limitations Hands-on experience with RAG pipelines, agents, and Vector Stores and the judgement to know when retrieval is the wrong tool Familiarity with LLMOps practices, monitoring, evaluation, and feedback loops. Has built real evals that are tied to business impact– dataset, metrics, thresholds and can name the regression they caught Cost and latency literacy – can say what a run costs and how to halve it Strong working knowledge of Cloud technologies Ready to build reliability that scales?

Data Engineer Location: Cairo 📍 Seniority: Mid - Senior 💻 🚀 About SAQAYA SAQAYA is a fast-growing, global tech company with operations in the UK, Spain, and Egypt. We specialize in connecting top-tier engineering talent with world-class UK clients, delivering innovative digital solutions across multiple industries. We're building an AI-native product engineering business focused on strong engineering, innovation, and technical excellence. 💻 About the Role We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms. In this role, you will work closely with Data Scientists, software engineers, and business stakeholders to ensure data is reliable, accessible, and ready for analysis and advanced modelling. You will contribute to the development of robust data ingestion processes, data transformation workflows, and automated quality controls. You will also help turn prototypes and proof-of-concept solutions into reliable, production-ready systems, contributing to the continuous improvement of our data infrastructure and engineering practices. This is an exciting opportunity for a data professional who enjoys solving complex technical challenges, working with modern cloud technologies, and building data solutions that deliver real business value. 🛠️ Key Responsibilities Design, develop, test, and maintain scalable data architectures, pipelines, and cloud-based data warehouses. Build and optimise ETL/ELT processes for data ingestion, transformation, and integration. Develop and maintain reliable data pipelines to support analytics, reporting, and data science initiatives. Collaborate with Data Scientists and other technical teams to provide high-quality, accessible data for modelling and analysis. Implement automated data quality checks and statistical validation processes to ensure data accuracy, consistency, and integrity. Perform exploratory data analysis to identify patterns, validate datasets, and support data-driven decision-making. Develop prototypes and proof-of-concept solutions, helping transition them into scalable, production-ready applications. Design and maintain efficient data models, optimising performance, scalability, and maintainability. Work with cloud platforms and modern data warehouse technologies to build and improve data infrastructure. Apply version control, automated testing, and CI/CD practices to ensure reliable and repeatable data deployments. Develop and maintain APIs and integrations where required to support data exchange between systems. Produce technical documentation, reports, and presentations to communicate findings and solutions clearly. Collaborate with technical and non-technical stakeholders to understand requirements and deliver effective data solutions. Follow best practices for data governance, security, compliance, and documentation. 🎯 Requirements 3–5 years of professional experience in Data Engineering or a similar role. Strong proficiency in Python, including libraries such as Pandas and NumPy. Advanced SQL skills, including complex queries, data manipulation, and performance optimisation. Proven experience designing and implementing efficient data models. Strong understanding of ETL/ELT processes and data pipeline development. Experience with data orchestration tools such as Apache Airflow. Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). Experience with cloud-based data warehouses or platforms such as Snowflake, BigQuery, or Databricks. Proficiency with Git and collaborative software development workflows. Understanding of automated testing, CI/CD pipelines, and modern software delivery practices. Strong analytical and problem-solving skills, with attention to data quality and detail. Ability to collaborate effectively with Data Scientists, engineers, and business stakeholders. Good communication skills and the ability to explain technical concepts clearly. Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related field, or equivalent practical experience. ⭐ Desirable Skills Experience with Snowflake Marketplace and external data integrations. Knowledge of Docker, Kubernetes, and containerised application environments. Familiarity with data visualisation tools such as Power BI or Tableau. Experience building, deploying, and maintaining APIs. Knowledge of data governance, data certification, metadata management, and data quality frameworks. Understanding of data security, privacy, and compliance best practices. Familiarity with machine learning workflows and data preparation for predictive modelling. Experience working with large-scale datasets and distributed data processing technologies. Familiarity with Agile methodologies and collaborative delivery environments. 🌱 What We're Looking For We're looking for a curious, analytical, and proactive Data Engineer who enjoys building reliable data solutions and continuously improving the way data is processed, managed, and delivered. You should be comfortable working across the data lifecycle, from ingestion and transformation to validation, modelling, and deployment. We value engineers who take ownership of their work, approach technical challenges methodically, and understand the importance of building data systems that are scalable, maintainable, and trustworthy. You'll thrive in this role if you enjoy collaborating with multidisciplinary teams, learning new technologies, and turning complex data requirements into practical solutions. 🌟 Why Join SAQAYA? We're building more than another software services company. We're building an AI-native product engineering business with global ambitions, combining strong engineering capabilities, an international customer base, and an ambitious growth strategy. Join us to work with modern technologies, solve meaningful engineering challenges, collaborate with talented professionals, and help build scalable digital solutions. 🚀

Company Description FlairsTech is an international, technology-driven Managed Services Provider built on innovation, talent, and excellence. With more than 1,000 team members across five offices, the company supports over 100 global partners with services in software development, analytics, digital solutions, business operations, and customer experience. FlairsTech collaborates closely with clients in North America, Europe, the Middle East, and Africa as an extension of their internal teams to enhance processes and productivity. The organization is deeply people-centric, recognizing that its success is driven by both its internal talent and long-term customer partnerships. Joining FlairsTech offers opportunities to work on diverse projects in a collaborative, growth-oriented environment. Role Description This is a full-time, on-site Azure DevOps role based in El Maadi El Gadida. The Azure DevOps professional will design, implement, and maintain CI/CD pipelines, supporting development teams in building, testing, and deploying applications efficiently and reliably. Responsibilities include managing source control workflows, automating infrastructure provisioning, and monitoring environments to ensure performance, security, and high availability. The role involves working with cross-functional teams to integrate DevOps best practices, troubleshoot deployment issues, and optimize build and release processes. The individual will also contribute to documentation, participate in code and pipeline reviews, and support continuous improvement of DevOps tools and standards. Qualifications Candidates should possess strong skills in Software Development and Integration to collaborate effectively with engineering teams and streamline delivery workflows. Candidates should possess solid experience in Continuous Integration practices and Azure DevOps tooling to design and maintain automated build and deployment pipelines. Candidates should possess hands-on skills with Kubernetes to manage containerized applications, orchestration, and scalable infrastructure. Candidates should possess proficiency in Linux to administer servers, troubleshoot environment issues, and support production operations. Relevant experience with cloud platforms (preferably Microsoft Azure), infrastructure as code (e.g., ARM templates, Terraform, or Bicep), and configuration management tools is beneficial. A strong understanding of networking, security best practices, and monitoring/logging solutions (such as Azure Monitor, Prometheus, or Grafana) is advantageous. Excellent problem-solving abilities, collaboration skills, and clear communication, with the ability to work in cross-functional and multicultural teams. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience in DevOps or site reliability engineering. Show more