(senior) quality assurance engineer (m/f/d)

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(senior) quality assurance engineer (m/f/d) Jobs in Cairo

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Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 
 
 </li>
 </ul>
 Stay updated on the latest trends in
 
 AI/ML
 
 ,
 
 Generative AI
 
 , and
 
 LLM frameworks
 
 (LangChain, LlamaIndex, etc.)
 
 
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong leadership skills
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Senior Full Stack AI Software Engineer

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 At TP we deliver excellent service and support. Every colleague commits to the following principles:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Taking ownership.
 
 You hold the request or problem until it is resolved. We do not send people away to another (internal) desk.
 </li>
 <li>
 
 Unburdening colleagues.
 
 We do not say "no, this is not possible". We think along with them and explain how what they want can be achieved in a different way.
 </li>
 <li>
 
 Proactive communication.
 
 If we are not going to meet a deadline you hear it from us proactively, not after the fact.
 </li>
 </ul>
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 As a Senior CX Platform &amp; Conversational AI Engineer, you design, operate and continuously improve TP's CCaaS and conversational AI capabilities. You ensure that Genesys Cloud, IVR, routing, chat, messaging, voice, integrations and AI-supported customer journeys improve agent productivity, customer experience and account outcomes. The role combines hands-on CCaaS engineering with conversational AI, prompt lifecycle management, ITIL discipline and measurable CX improvement. You treat prompts, bot flows and agent-assist configurations as production artefacts that are versioned, tested, monitored and changed under control. The role contributes directly to business outcomes such as AHT, FCR, containment, CSAT, agent productivity and cost-to-serve, while ensuring platform reliability, secure data handling and operational continuity. You report to the IT Director and work closely with IT Engineering &amp; Development, Service Management, Operations, Business Service &amp; AI Demand Partners and relevant vendors.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Owning the technical lifecycle and operational quality of Genesys Cloud / PureCloud capabilities within the assigned scope.
 </li>
 <li>
 Designing, configuring, operating and improving Genesys Cloud / PureCloud and related CCaaS components.
 </li>
 <li>
 Building and optimising IVR, ACD, chat, SMS/messaging, email routing and channel-spanning customer journeys.
 </li>
 <li>
 Supporting SIP trunks, telephony integration, voice quality, call routing and incident resolution.
 </li>
 <li>
 Integrating CCaaS platforms with CRM, ServiceNow, knowledge bases, agent desktop tools, reporting and conversational AI services.
 </li>
 <li>
 Designing and improving bot flows, intent models, fallback handling, escalation logic and containment optimisation.
 </li>
 <li>
 Supporting LLM-driven summarisation, suggested responses, next-best-action and knowledge retrieval at the point of need (agent assist).
 </li>
 <li>
 Ensuring that AI-supported customer journeys and agent-assist capabilities are designed with appropriate human-in-the-loop, privacy and quality controls.
 </li>
 <li>
 Designing, testing, versioning, monitoring and retiring prompts as production artefacts under change control.
 </li>
 <li>
 Defining and executing test scenarios, regression checks and go-live validation for CX-critical changes.
 </li>
 <li>
 Working with Business Service &amp; AI Demand Partners and Operations stakeholders to translate business and client requirements into measurable CX platform improvements.
 </li>
 <li>
 Supporting and shaping the convergence between CCaaS capabilities and conversational AI within the CX domain.
 </li>
 <li>
 Supporting vendor coordination for Genesys, telephony, conversational AI and integration-related topics.
 </li>
 <li>
 Applying ITIL incident, problem, change and release practices to CX-critical services.
 </li>
 <li>
 Maintaining flow documentation, prompt documentation, runbooks, test scenarios and support guidance.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 At minimum a demonstrable bachelor-level working and thinking ability in IT, engineering, telecommunications, computer science or a related ICT discipline, or equivalent experience.
 </li>
 <li>
 Genesys Cloud certification preferred.
 </li>
 <li>
 ITIL Foundation desirable; practical ITIL experience required.
 </li>
 <li>
 Conversational AI, bot design, prompt engineering or CX automation certification is desirable.
 </li>
 <li>
 Working knowledge of SIP / VoIP, REST APIs, contact-centre fundamentals and omnichannel service delivery is required.
 </li>
 <li>
 Minimum 5 years of experience in CCaaS, contact center technology, telephony or CX platform engineering.
 </li>
 <li>
 Strong hands-on experience with Genesys Cloud / PureCloud, including routing, queues, flows, IVR and platform administration.
 </li>
 <li>
 Working knowledge of SIP, VoIP, trunking, voice quality and telephony troubleshooting.
 </li>
 <li>
 Experience with REST APIs, JSON, webhooks and integration patterns.
 </li>
 <li>
 Experience with ServiceNow ITSM processes required; ServiceNow integration / API experience desirable.
 </li>
 <li>
 Experience with conversational AI, bot flows, intent models, prompt design or agent assist is strongly desirable.
 </li>
 <li>
 Working knowledge of ITIL incident, problem, change and release practices.
 </li>
 <li>
 Strong documentation discipline: flow documentation, prompt documentation, runbooks, test scenarios and operational handover.
 </li>
 <li>
 Ability to work independently in an international remote or hybrid team.
 </li>
 <li>
 English C1 required.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Hands-on Genesys Cloud / PureCloud experience.
 </li>
 <li>
 Strong understanding of IVR, ACD, routing, queues and omnichannel flows.
 </li>
 <li>
 Working knowledge of SIP / VoIP / trunking and voice troubleshooting.
 </li>
 <li>
 Experience with REST APIs, JSON and integration patterns.
 </li>
 <li>
 ITIL incident, problem and change management awareness.
 </li>
 <li>
 ServiceNow ITSM awareness.
 </li>
 <li>
 Strong documentation discipline.
 </li>
 <li>
 English C1.
 </li>
 <li>
 Ability to work independently in an international remote / hybrid environment.
 </li>
 <li>
 Basic conversational AI and prompt engineering awareness, or demonstrable willingness and ability to learn quickly.
 </li>
 </ul>
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Advanced conversational AI design.
 </li>
 <li>
 Prompt lifecycle management.
 </li>
 <li>
 Agent assist design and evaluation.
 </li>
 <li>
 Bot analytics and containment optimisation.
 </li>
 <li>
 Genesys advanced integrations.
 </li>
 <li>
 AI ethics and data compliance in customer interaction environments.
 </li>
 <li>
 Customer journey analytics.
 </li>
 <li>
 ServiceNow API integration.
 </li>
 <li>
 Vendor management and advanced stakeholder communication.
 </li>
 </ul>
 
 
</div>

Senior Full Stack & AI Solutions Developer

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

Valeo

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction: Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

System Engineer (AI & Automation), LIGHT

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Sr AI &amp; Software Developer is responsible for driving the technical vision, development, and productization of intelligent, data-driven software systems. This role encompasses the entire machine learning and software development lifecycle, from research and data ingestion to model deployment and monitoring. You will build proprietary machine learning models and scalable applications, acting as a core technical expert to deliver innovative digital solutions that align with the company's strategic goals.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Technical Leadership &amp; System Architecture
 
 
 
 <ul>
 <li>
 Lead the architectural design and end-to-end development of production-grade AI systems, focusing on high-impact applications such as agentic workflows and predictive modeling.
 </li>
 <li>
 Own the machine learning lifecycle by overseeing the mathematical integrity and technical execution of data ingestion, feature engineering, and model training.
 </li>
 <li>
 Drive the deployment of scalable models across major cloud environments (AWS/Azure/GCP) or on-premises infrastructure to ensure high availability and performance.
 </li>
 <li>
 Mentor junior developers and data scientists, providing technical guidance and conducting structured code reviews to foster a culture of continuous learning.
 
 
 </li>
 </ul>
 
 MLOps Excellence &amp; Quality Assurance
 
 
 
 <ul>
 <li>
 Establish and enforce rigorous MLOps frameworks to ensure the robust, repeatable, and high-quality delivery of AI-driven software solutions.
 </li>
 <li>
 Validate all technical outputs through stringent testing protocols and quality assurance standards, ensuring compliance with global performance benchmarks.
 </li>
 <li>
 Direct continuous improvement initiatives by analyzing system data to proactively identify, manage, and resolve complex technical incidents.
 
 
 </li>
 </ul>
 
 Strategic Integration &amp; Stakeholder Management
 
 
 
 <ul>
 <li>
 Partner with multidisciplinary business units and product management to translate ambiguous business challenges into concrete AI/ML software requirements.
 </li>
 <li>
 Advise senior leadership as a primary technical liaison, converting intricate algorithmic capabilities into actionable insights that drive corporate strategy.
 </li>
 <li>
 Benchmark emerging digital trends and enterprise-level software tools to continuously optimize the organization&rsquo;s service delivery and technical stack.
 
 
 </li>
 </ul>
 
 Governance &amp; Safety Culture
 
 
 
 <ul>
 <li>
 Ensure full alignment with the organization&rsquo;s Safety Management System, integrating digital security and safety protocols into all software development.
 </li>
 <li>
 Promote a proactive safety culture within the technical team, identifying and mitigating any potential operational or environmental risks.
 </li>
 <li>
 Champion ethical AI standards and data governance practices to protect organizational integrity and user privacy.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, or a related technical field
 </li>
 <li>
 Professional fluency in both English and Arabic; proficiency in French is highly preferred.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Expert-level proficiency in Python and advanced ML frameworks including TensorFlow, PyTorch, or JAX.
 </li>
 <li>
 Deep theoretical command of NLP, deep learning, and statistical modeling within an enterprise context.
 </li>
 <li>
 Mastery of full-stack development, specifically with Next.js, for deploying user-centric AI applications.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in software development and data science, with a proven track record of owning complex, enterprise-level AI projects from ideation to production.
 </li>
 <li>
 Proven track record of owning complex, enterprise-level AI projects from ideation to production.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Exceptional ability to deconstruct technical jargon into strategic narratives for non-technical stakeholders.
 </li>
 <li>
 Working in Agile/Scrum environments with a focus on "Privacy by Design" and ethical AI development.
 </li>
 <li>
 Exhibit a "product-owner" mindset, taking full accountability for the long-term scalability and ethical integrity of AI solutions rather than focusing solely on immediate code execution.
 </li>
 <li>
 Acts as a proactive advocate for AI adoption across the organization, demonstrating the patience and persistence required to overcome institutional resistance to new digital workflows.
 </li>
 </ul>
</div>

Sr AI & Software Developer

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 
 About the role
 
 
 
 
 
 We&rsquo;re looking for a Senior Full Stack Software 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.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 What you'll be doing
 
 
 
 
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 Design and develop robust, scalable, and high-performance software systems using C#, .NET, TypeScript (ES6), React.js, Redux, RxJS, Webpack, and GraphQL
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 Collaborate with a cross-functional team to define, design, and ship new features
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 Lead the system design, testing and coding standards efforts, contributing with clean &amp; high-performance code and architecture
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 Implement modern best practices and patterns in software engineering
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 Mentor software engineers
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 Conduct code reviews and ensure coding standards, best practices, and security guidelines are implemented
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 Troubleshoot, debug, and upgrade existing software
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 Stay up to date with emerging trends and technologies in software development to continuously improve our products and processes
 
 
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 Qualifications
 
 
 
 
 
 
 What you'll bring:
 
 
 
 
 
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 Bachelor&rsquo;s degree in Computer Engineering
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 5+ years of experience in software development, with a strong background in web development using C#, .NET and React
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 You have a strong engineering mindset and experience in having end to end ownership of the software you build (DevOps, testing, system design, observability, git version control)
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 You have solid experience with reactive programming principles and flux architecture
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 You have designed scalable, complex systems based on services-oriented architecture, on cloud (Azure Cloud preferred) and you are familiar with event driven architecture and domain driven design
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 You have a strong drive to continuously improve your craft
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 You have a passion for mentoring and guiding team members
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 You&rsquo;ve fully embraced generative AI tools, and you&rsquo;ve found your way using AI to help you be a high-performing engineer, deliver faster and at a higher quality
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 You are experienced in working in an agile environment
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 You have excellent problem-solving skills
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 Your communication and teamwork skills enable you to effectively collaborate with cross-functional teams and find solutions to new challenges
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 Why you&rsquo;ll love working here
 
 
 
 
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 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
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 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
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 Hybrid flexibility &ndash;
 
 Work from our Alexandria office 3 days per week
 
 and from home 2 days.
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 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
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 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
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 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
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 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
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 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
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 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
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 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
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Senior Full Stack Software Engineer - Alexandria

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