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SAQAYA

<div>
 
 Full-Stack Engineer (Python / React)
 
 
 
 
 
 
 
 
 
 
 
 About SAQAYA:
 
 
 
 
 
 
 
 
 
 
 
 SAQAYA is a fast-growing international technology consultancy operating across the UK, Spain and Egypt.
 
 
 
 
 
 We specialise in connecting outstanding software engineers with leading UK-based clients, delivering high-impact digital products in complex, data-driven environments.
 
 
 
 
 
 Our mission is simple: build excellent technology by empowering excellent people.
 
 
 
 
 
 
 
 
 
 
 
 We are now looking for a Full-Stack Engineer who is passionate about building high-quality web applications and who genuinely loves football.
 
 
 
 
 
 You will work on products where technology meets the beautiful game &mdash; from fan-engagement platforms to data-driven football solutions.
 
 
 
 
 
 
 
 
 
 
 
 The Role
 
 
 
 
 
 As a Full-Stack Engineer, you will contribute across the full product lifecycle, working closely with product managers, designers and football-domain specialists to deliver scalable, user-focused solutions.
 
 
 
 
 
 
 
 
 
 
 
 You will play an active role in shaping features, improving performance and translating football-related concepts into reliable and intuitive software.
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 
 
 
 Build and maintain scalable, production-ready web applications using Python on the backend and React on the frontend.
 
 
 Design, implement and maintain RESTful APIs and backend services.
 
 
 Collaborate closely with product, design and football-domain experts to define and deliver new features.
 
 
 Translate football-related requirements into clean, intuitive and user-friendly functionality.
 
 
 Write clean, well-structured, testable and maintainable code.
 
 
 Participate in code reviews, technical discussions and solution design.
 
 
 Contribute to continuous improvement of development standards, tooling and practices.
 
 
 
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 
 
 
 Strong commercial experience with Python (Flask or FastAPI).
 
 
 Strong experience with React, including hooks, modern state management and component-based architecture.
 
 
 Solid knowledge of HTML, CSS and modern JavaScript.
 
 
 Experience working with relational databases such as PostgreSQL, MySQL or similar.
 
 
 Good understanding of Git and modern collaborative development workflows.
 
 
 Experience working with cloud platforms, ideally Microsoft Azure.
 
 
 
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 Experience working in data-driven or analytics-heavy platforms.
 
 
 Experience working in product-focused or fast-paced delivery teams.
 
 
 Personal interest or background in football, sports technology or fan-experience platforms.
 
 
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 
 A proactive engineer who takes ownership of features from idea to delivery.
 
 
 Someone comfortable working closely with non-technical stakeholders.
 
 
 A team player who enjoys sharing knowledge and contributing to a positive engineering culture.
 
 
 A genuine interest in football and how technology can enhance the sport.
 
</div>

Senior Full Stack Engineer

AlgoDriven

<div>
 
 
 About AlgoDriven
 
 
 
 AlgoDriven builds
 
 production-grade SaaS platforms
 
 for the automotive industry across
 
 Australia, the Middle East, Southeast Asia, and the Americas
 
 . Our systems process large volumes of data daily and power mission-critical workflows for dealerships and OEM partners.
 
 
 
 
 
 We&rsquo;re growing our Cairo engineering team and looking for senior engineers who enjoy
 
 building complete features, debugging complex systems, and scaling software that&rsquo;s already live and growing
 
 .
 
 
 
 
 
 
 
 
 
 The Role
 
 
 
 This is a hands-on role for someone who can
 
 own features end-to-end
 
 &mdash; from backend APIs to frontend React interfaces &mdash; and take responsibility for quality, performance, and reliability in production.
 
 
 
 
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 <ul>
 <li>
 Build
 
 full features end-to-end
 
 using
 
 PHP (backend)
 
 and
 
 React (frontend)
 
 </li>
 <li>
 Design and consume APIs, and integrate frontend and backend cleanly
 </li>
 <li>
 Debug and fix
 
 production issues
 
 across the stack
 </li>
 <li>
 Work with
 
 MySQL
 
 on real production data
 </li>
 <li>
 Deploy and scale services on
 
 AWS
 
 using
 
 Docker
 
 </li>
 <li>
 Improve performance, reliability, and maintainability as the product grows
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 What We&rsquo;re Looking For - Must-have:
 
 
 <ul>
 <li>
 Strong experience with
 
 PHP
 
 and modern backend development
 </li>
 <li>
 Solid experience building UIs with
 
 React
 
 </li>
 <li>
 Good understanding of
 
 MySQL
 
 </li>
 <li>
 Experience working with
 
 AWS
 
 and
 
 Docker
 
 </li>
 <li>
 Comfortable owning features and solving problems end-to-end
 </li>
 </ul>
</div>

FlairsTech

<div>
 
 Full-Stack Developer (.NET/Angular)
 
 
 Job Description (with AI-Powered Development)
 
 
 We&rsquo;re hiring a pragmatic Full-Stack Developer to help modernize and extend a mission-critical, multi-tenant SaaS platform. You&rsquo;ll ship code across the stack (C#/.NET + Angular/TypeScript), contribute to our cloud-native architecture on Azure, and help bridge legacy and modern components safely and fast.
 
 
 You&rsquo;ll also
 
 leverage AI-powered development tooling and practices
 
 (e.g., intelligent code assistants, automated refactoring, AI-generated tests, AI-augmented documentation and analysis) to accelerate delivery, improve quality, and support modernization.
 
 
 This role is a growth path into a Solution Architect position; candidates with that ambition will influence decision-making and take ownership of cross-cutting architecture and design decisions&mdash;including how AI is used responsibly within engineering workflows.
 
 
 What You&rsquo;ll Do &amp; Responsibilities
 
 
 Build &amp; Deliver
 
 
 Implement features and APIs in C#/.NET (Core/ASP.NET) and front-end UI in Angular/TypeScript; occasional work in Vue.js where needed.
 
 
 Create well-factored services, adapters, and data pipelines to integrate modern modules with legacy components.
 
 
 Write automated tests (unit/integration/e2e) and participate in code reviews with clear, constructive feedback.
 
 
 
 Use AI-assisted tooling
 
 for code generation, refactoring proposals, test scaffolding, and static analysis to improve development speed and correctness.
 
 
 Contribute to observability: logs/metrics/traces, actionable alerts, and SLO-minded dashboards.
 
 
 Modernization &amp; Platform
 
 
 Help evolve our Azure foundations (App Services/Functions, Front Door/WAF, Storage, Azure SQL &amp; PostgreSQL); containerize services where it makes sense (Docker/AKS).
 
 
 Apply proven migration patterns to retire brittle code and reduce tech debt.
 
 
 Improve performance and scalability through caching, async/eventing, and telemetry-driven tuning.
 
 
 
 Leverage AI tools to assist with codebase exploration, dependency mapping, legacy-to-modern migrations, and architecture documentation.
 
 
 
 Quality, Security &amp; CI/CD
 
 
 Treat test automation as part of &ldquo;done&rdquo; (xUnit/NUnit, Playwright/Cypress).
 
 
 Contribute to secure coding, dependency hygiene, and periodic hardening; collaborate during pen-test remediation.
 
 
 Use and improve pipelines (GitHub Actions and/or Octopus Deploy); contribute to repeatable environment setup (IaC preferred).
 
 
 
 Apply AI-aided scanning and analysis
 
 for vulnerabilities, dependency issues, configuration drift, and pipeline optimization.
 
 
 Collaboration &amp; Delivery
 
 
 Provide clear estimates/trade-offs; break work into small, shippable increments.
 
 
 Help mentor peers through pairing, PR guidance, internal demos, and
 
 teaching best practices for AI-augmented development
 
 .
 
 
 Communicate how and when AI tooling should be used responsibly within the SDLC.
 
 
 Skills &amp; Experience
 
 
 Core Technical
 
 
 Backend: C#, .NET (ASP.NET Web API, .NET Core), REST, async patterns, Entity Framework; familiarity with legacy ASP.NET is a plus.
 
 
 Frontend: Angular (strong), TypeScript, RxJS, HTML/CSS; Vue.js experience is a plus.
 
 
 Cloud (Azure): App Services/Functions, Front Door/WAF, Storage, Azure SQL; exposure to PostgreSQL and AKS preferred.
 
 
 Data &amp; Messaging: SQL design/tuning, basic Postgres ops; nice-to-have: Azure Service Bus/Event Grid, caching (e.g., Redis).
 
 
 CI/CD &amp; DevOps: GitHub Actions and/or Octopus Deploy; containers (Docker); IaC (Bicep/Terraform is a plus); monitoring with Azure Monitor/App Insights; OpenTelemetry familiarity is a plus.
 
 
 Security &amp; Identity: OIDC/JWT/SAML, role/permission models, secure secrets handling.
 
 
 
 AI-Powered Development:
 
 Experience using AI coding assistants, AI-based test generation, codebase search/reasoning tools, or AI-enhanced documentation or QA workflows.
 
 
 Software Craft
 
 
 Comfortable refactoring, profiling, writing tests first when appropriate.
 
 
 Strong debugging across distributed systems and browser/network layers.
 
 
 Clear documentation: ADRs, README/runbooks, interface contracts.
 
 
 
 Ability to integrate AI-generated suggestions while maintaining engineering judgment and code quality.
 
 
 
 Communication &amp; Teamwork
 
 
 Crisp written/verbal communication; able to translate requirements into technical plans.
 
 
 Collaborative, low-ego problem solver who seeks feedback and unblocks others.
 
 
 Comfortable discussing where AI accelerates development&mdash;and where human expertise is required.
 
 
 Experience
 
 
 4+ years building production web applications (SaaS preferred) with .NET and a modern frontend framework (Angular strongly preferred).
 
 
 Shipped features end-to-end in cloud environments; participated in or supported a modernization/migration initiative.
 
 
 Experience with multi-tenant, performance-sensitive systems is a plus.
 
 
 
 Practical experience incorporating AI tools into daily development workflows
 
 is a plus.
 
 
 Nice-to-Haves
 
 
 Exposure to data export/licensing APIs and rate-limiting/tenant isolation concerns.
 
 
 Comfort with legacy UI frameworks (e.g., Ext.NET/Ext JS) for targeted remediation while modernizing.
 
 
 
 Familiarity with prompt engineering or tuning AI tools for internal dev workflows.
 
 
</div>

Senior Full Stack Engineer Angular/. Net - Agentic Development

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years total software/ML engineering experience, with 3+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 How you&rsquo;ll work
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Senior Machine Learning Engineer

Pet Media Group (PMG)

<div>
 
 About Us
 
 
 
 Pet Media Group (PMG) is a scale-up that acquires, launches, and develops market-leading pet marketplaces globally, with over 1.5 million animals finding new homes through our platforms every year. We currently operate in 6 countries (UK, Sweden, Netherlands, Italy, Spain, and most recently the US) &mdash; all within just 5 years of launching. Here's one of our apps: Pets4Homes.co.uk
 
 
 The way pets find new loving homes has remained largely unchanged for centuries. We're on a mission to change that through innovative technology &mdash; and increasingly, through the intelligent use of AI. We're a young and ambitious team who have built unicorns before (e.g. Avito), backed by some of Europe's leading investors (e.g. Verdane and Otiva &mdash; early backers of Klarna, CAIA, Apotea, and Easypark).
 
 
 
 Who are we looking for?
 
 
 
 We're expanding our Monetisation team and looking for an FE-focused full stack engineer to help us build great products in the payment processing &amp; value-added services space, and improve the user experience in the payment domain.
 
 
 We're not just looking for a strong engineer &mdash; we're looking for someone who actively uses AI tools as part of their daily workflow: whether that's using LLMs to accelerate development, exploring AI-powered tooling for testing, code review, or product ideation, or simply staying genuinely curious about where the technology is heading.
 
 
 We expect roughly 6 years of engineering experience, ideally with our current tech stack &mdash; and a mindset that sees AI as a multiplier, not a buzzword.
 
 
 
 Requirements
 
 
 
 We're a fast-growing scale-up. We want engineers who build fast, fail fast, and learn fast. You don't need to be a world-class expert in every tool we use &mdash; but you do need a critical, open mindset, strong JavaScript proficiency, and a genuine enthusiasm for AI-assisted development.
 
 
 
 Core (required):
 
 
 
 <ul>
 <li>
 Building apps with TypeScript, Next.js, Node.js &amp; React
 </li>
 <li>
 Understanding of GraphQL and its usage in large systems with multiple consumers
 </li>
 <li>
 Experience with frontend testing tools and testing strategies
 </li>
 <li>
 Experience with relational databases like PostgreSQL
 </li>
 <li>
 Active use of AI tools (e.g. Claude, Cursor, Codex, ...) in your day-to-day engineering work &mdash; we want to hear how you use them
 
 
 </li>
 </ul>
 
 Bonus (helpful &amp; appreciated):
 
 
 
 <ul>
 <li>
 Experience with payment processing (Stripe, Adyen, Braintree)
 </li>
 <li>
 Experience with search technologies like Elasticsearch
 </li>
 <li>
 Experience with monitoring &amp; observability tools like Grafana
 </li>
 <li>
 Experience with responsive design &amp; mobile web UX
 </li>
 <li>
 Experience with UI/component frameworks like Tailwind
 </li>
 <li>
 Experience evaluating or experimenting with AI coding workflows at team or company level
 
 
 </li>
 </ul>
 Working proficiency in English is required.
 
 
 
 Our tech stack
 
 
 
 Next.js, React, Node.js &amp; React Native (TypeScript throughout)
 
 
 <ul>
 <li>
 GitLab CI/CD
 </li>
 <li>
 Elasticsearch
 </li>
 <li>
 Redis
 </li>
 <li>
 GraphQL &amp; PostgreSQL
 </li>
 <li>
 Knex
 </li>
 <li>
 Docker
 </li>
 <li>
 Serverless with AWS Lambda
 </li>
 <li>
 AWS
 </li>
 <li>
 Grafana
 </li>
 <li>
 Bitrise
 
 
 </li>
 </ul>
 What we offer
 
 
 <ul>
 <li>
 Join a rapidly growing, already-profitable business with a clear vision and genuine energy
 </li>
 <li>
 A diverse team across Sweden, Germany, Austria, UK, Poland, Portugal, Bosnia, Croatia, Ukraine and Egypt
 </li>
 <li>
 A real opportunity to shape our tech department &mdash; and to help define how AI becomes part of how we build
 </li>
 <li>
 Competitive compensation and great benefits (remote or in-person)
 
 
 </li>
 </ul>
 We very much look forward to your application, contact us if you have any questions!
</div>

Senior Fullstack Engineer (FE-focused) — Monetisation Team (f/m/d)

Support Plus 360

<div>
 
 
 Senior Full-Stack Engineer (Omni-Channel / SaaS / Distributed Systems)
 
 
 
 
 
 
 We are expanding our engineering team and looking for a Senior Full-Stack Engineer to work directly across multiple high-scale platform projects.
 
 
 
 
 
 This is not a feature-delivery role.
 
 
 
 
 
 We are building complex, multi-tenant systems including:
 
 
 
 
 
 Omni-channel messaging platforms (WhatsApp / FB / IG)
 
 
 
 
 
 CRM and automation engines
 
 
 
 
 
 AI-assisted workflow systems
 
 
 
 
 
 High-concurrency backend services
 
 
 
 
 
 SaaS-ready distributed architectures
 
 
 
 
 
 You will work closely on architecture decisions, scalability design, infrastructure strategy, and production reliability.
 
 
 
 
 
 We are looking for someone who has already built systems like this &mdash; not someone learning them for the first time.
 
 
 
 
 
 
 Required experience:
 
 
 
 
 
 
 Strong TypeScript across backend and frontend
 
 
 
 
 
 Node.js (NestJS / Express / Fastify)
 
 
 
 
 
 Next.js (App Router preferred)
 
 
 
 
 
 PostgreSQL (indexing, performance tuning, schema design)
 
 
 
 
 
 Redis (queues, caching, distributed coordination)
 
 
 
 
 
 Queue systems (BullMQ, SQS, or similar)
 
 
 
 
 
 Webhook ingestion at scale
 
 
 
 
 
 Idempotency patterns
 
 
 
 
 
 JWT and advanced RBAC design
 
 
 
 
 
 Multi-tenant SaaS architecture
 
 
 
 
 
 Docker and AWS fundamentals
 
 
 
 
 
 Understanding of horizontal scalability and worker-based systems
 
 
 
 
 
 You should be comfortable discussing:
 
 
 
 
 
 Isolation strategies
 
 
 
 
 
 Concurrency handling
 
 
 
 
 
 Background processing
 
 
 
 
 
 Rate limiting
 
 
 
 
 
 Distributed system trade-offs
 
 
 
 
 
 Production monitoring and observability
 
 
 
 
 
 This role involves working alongside a senior architect on multiple projects, contributing to system design and long-term platform direction.
 
 
 
 
 
 If you have built real-world, high-traffic systems and enjoy solving architectural challenges &mdash; we would like to speak with you.
 
 
 
 
 
 
 How To Apply
 
 
 
 
 
 
 Send:
 
 
 
 
 
 Resume, GitHub
 
 
 
 
 
 Describe a scalable system you built
 
 
 
 
 
 Explain how you would architect an omnichannel SaaS platform
 
 
 
 
 
 Please apply only if you have hands-on production experience with similar systems.
 
 
 
 
 
 Apply through:
 
 
 Hr@supportplusco.com
 
 
 
 
 
 and write on title : " Senior Full stack engineer"
 
 
 
 
</div>

Full Stack Engineer

HireOn

<div>
 
 Senior MLOps Engineer (Onsite | Cairo, Egypt)
 
 
 
 
 Experience:
 
 5&ndash;8 Years
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Salary Range:
 
 80,000 EGP &ndash; 100,000 EGP per month
 
 
 
 About The Opportunity
 
 
 
 HireOn is recruiting for its reputed international client seeking a highly skilled
 
 Senior MLOps Engineer
 
 to lead the operationalization of machine learning models in production environments.
 
 
 This role requires a hands-on expert who can bridge Data Science and Cloud Engineering teams, ensuring scalable, secure, and automated ML systems on AWS infrastructure. The ideal candidate will drive end-to-end MLOps architecture, CI/CD automation, and cloud-native ML deployment strategies.
 
 
 
 Core Requirements Experience
 
 
 
 <ul>
 <li>
 5&ndash;8 years of overall experience with minimum 3+ years in MLOps or production ML environments
 </li>
 <li>
 Strong experience managing the full ML lifecycle (training, deployment, monitoring, optimization)
 </li>
 <li>
 Proven ability to work independently and collaborate across cross-functional teams
 
 
 </li>
 </ul>
 
 AWS &amp; Cloud Expertise (Mandatory)
 
 
 
 
 Hands-on Experience With
 
 
 
 Amazon SageMaker, S3, EC2, Lambda, IAM, CloudWatch, ECR, ECS, EKS
 
 
 Strong understanding of secure, scalable, and highly available AWS architecture
 
 
 
 MLOps &amp; Machine Learning
 
 
 
 <ul>
 <li>
 Model deployment and monitoring in production
 </li>
 <li>
 Experience with TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Experiment tracking tools such as MLflow
 </li>
 <li>
 Model performance monitoring and drift detection
 
 
 </li>
 </ul>
 
 DevOps &amp; Automation
 
 
 
 <ul>
 <li>
 Docker and containerization
 </li>
 <li>
 CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline
 </li>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 
 
 </li>
 </ul>
 
 Programming &amp; Data
 
 
 
 <ul>
 <li>
 Strong Python programming expertise
 </li>
 <li>
 Experience with SQL and working knowledge of NoSQL databases
 </li>
 <li>
 Experience handling structured and unstructured datasets
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement scalable end-to-end MLOps pipelines
 </li>
 <li>
 Deploy and manage ML models using AWS-native services
 </li>
 <li>
 Build and maintain CI/CD pipelines for ML workflows
 </li>
 <li>
 Implement model monitoring, logging, and performance tracking
 </li>
 <li>
 Containerize ML applications and deploy on ECS/EKS
 </li>
 <li>
 Automate infrastructure using Terraform or CloudFormation
 </li>
 <li>
 Ensure system scalability, reliability, and security
 </li>
 <li>
 Troubleshoot ML pipelines and cloud infrastructure issues
 </li>
 <li>
 Collaborate closely with Data Science and Engineering teams to productionize ML solutions
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to feature stores and data versioning
 </li>
 <li>
 AWS Associate-level certification
 </li>
 <li>
 Understanding of ML governance, compliance, and model risk management
 
 
 </li>
 </ul>
 Skills: aws codepipeline,terraform,tensorflow,aws sagemaker,mlops,python,aws,ml
</div>

Senior MLOps Engineer

Explore 356+ Senior stack engineer in Cairo this March. Find roles across top companies and apply now to boost your career.

356 senior stack engineer jobs In Cairo

Senior Full Stack Engineer

Senior Full Stack Engineer

Senior Full Stack Engineer Angular/. Net - Agentic Development

Senior Machine Learning Engineer

Senior Fullstack Engineer (FE-focused) — Monetisation Team (f/m/d)

Full Stack Engineer

Senior MLOps Engineer