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

ai engineer

senior stack engineer

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

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
 
 
 
 
 <ul>
 <li>
 Design and develop robust, scalable, and high-performance software systems using C#, .NET, TypeScript (ES6), React.js, Redux, RxJS, Webpack, and GraphQL
 </li>
 <li>
 Collaborate with a cross-functional team to define, design, and ship new features
 </li>
 <li>
 Lead the system design, testing and coding standards efforts, contributing with clean &amp; high-performance code and architecture
 </li>
 <li>
 Implement modern best practices and patterns in software engineering
 </li>
 <li>
 Mentor software engineers
 </li>
 <li>
 Conduct code reviews and ensure coding standards, best practices, and security guidelines are implemented
 </li>
 <li>
 Troubleshoot, debug, and upgrade existing software
 </li>
 <li>
 Stay up to date with emerging trends and technologies in software development to continuously improve our products and processes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 What you'll bring:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 </li>
 <li>
 5+ years of experience in software development, with a strong background in web development using C#, .NET and React
 </li>
 <li>
 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)
 </li>
 <li>
 You have solid experience with reactive programming principles and flux architecture
 </li>
 <li>
 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
 </li>
 <li>
 You have a strong drive to continuously improve your craft
 </li>
 <li>
 You have a passion for mentoring and guiding team members
 </li>
 <li>
 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
 </li>
 <li>
 You are experienced in working in an agile environment
 </li>
 <li>
 You have excellent problem-solving skills
 </li>
 <li>
 Your communication and teamwork skills enable you to effectively collaborate with cross-functional teams and find solutions to new challenges
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash;
 
 Work from our Alexandria office 3 days per week
 
 and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Full Stack Software Engineer - Alexandria

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

Bosta

<div>
 
 About Bosta:
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions.
 
 
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 
 
 About the role:
 
 
 We&rsquo;re rebuilding Bosta&rsquo;s data platform end-to-end: from MongoDB at the source, through a governed semantic layer that LLM-native tools (NL-to-SQL agents, AI analysts, embedded copilots) can sit on top of safely and cheaply. You will help own that rebuild.This is a hands-on role. You&rsquo;ll set patterns, write the foundational code, and ship across the stack &mdash; from CDC and ingestion through dbt, the semantic layer, and the interfaces that BI tools and AI agents consume.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 End-to-end pipeline work: MongoDB CDC &rarr; ingestion &rarr; lakehouse &rarr; warehouse &rarr; dbt &rarr; semantic layer &rarr; BI/AI consumers
 </li>
 <li>
 Co-ownership of architecture decisions with the Data Engineering Lead
 </li>
 <li>
 CDC from production MongoDB without degrading operational DB performance; ingestion patterns that make adding a new source a config change, not a project
 </li>
 <li>
 Orchestration that&rsquo;s observable end-to-end (Airflow, Dagster, or Prefect)
 </li>
 <li>
 The dbt project: structure, conventions, tests, contracts, exposures, CI
 </li>
 <li>
 The semantic / metrics layer (dbt Semantic Layer, Cube, or equivalent) &mdash; one canonical definition per business metric
 </li>
 <li>
 LLM-readiness: column-level documentation, PII tagging, query cost guardrails, materialized metric tables, and evals on AI-generated SQL
 </li>
 <li>
 Migration of existing logic out of the Tableau and Metabase sprawl into modeled, governed sources
 
 
 
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 4+ years across data engineering and/or analytics engineering &mdash; you&rsquo;ve spent meaningful time on both sides
 </li>
 <li>
 Comfort spanning the stack: comfortable shipping a Debezium connector one week and a dbt mart the next
 </li>
 <li>
 Deep dbt and SQL &mdash; you&rsquo;ve owned a non-trivial project, not just contributed to one
 </li>
 <li>
 Production CDC experience (Debezium, Kafka Connect, Airbyte, or hand-rolled) against operational databases &mdash; bonus if that database was MongoDB
 </li>
 <li>
 A cloud warehouse you know deeply (Redshift, Snowflake, BigQuery, or Databricks)
 </li>
 <li>
 Strong Python; comfortable in Linux, infra-as-code, and CI/CD
 </li>
 <li>
 Working understanding of how LLM tooling (RAG, NL-to-SQL, embedded agents) consumes a data platform &mdash; and what breaks when the platform isn&rsquo;t ready
 </li>
 <li>
 Strong opinions on modeling, lightly held; bias toward observability
 
 
 
 
 
 </li>
 </ul>
 
 Bonus:
 
 
 
 <ul>
 <li>
 MongoDB schema evolution at scale
 </li>
 <li>
 Production semantic-layer rollouts (dbt Semantic Layer, Cube, LookML, MetricFlow)
 </li>
 <li>
 Lakehouse formats (Iceberg, Delta, Hudi) or streaming experience (Kafka, Flink, Kinesis)
 </li>
 <li>
 Data catalog / lineage tooling (DataHub, Atlan, Collibra)
 </li>
 <li>
 Logistics, marketplaces, or other operationally heavy domains
 </li>
 <li>
 Evals on AI-generated SQL or analytical reasoning
 
 
 
 
 
 </li>
 </ul>
 Thank you for considering Bosta as your next career step. We value every application we receive, and our selection process is designed to ensure the best fit for both our team and our candidates. We appreciate your patience throughout the process
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior Data 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

<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
 
 
 
 As a Senior DevOPS developer, you will be responsible for designing, developing, deploying and maintaining the ATOMIC application.
 
 
 You will participate in integrating new use cases to automate deployments of Orange infrastructure / configuration
 
 
 Your main responsibilities will include :
 
 
 <ul>
 <li>
 Studying how to integrate new use cases into the application
 </li>
 <li>
 Developing the solution designed for new use cases
 </li>
 <li>
 Maintaining the application
 </li>
 <li>
 Proposing improvement to optimize the application
 </li>
 <li>
 Participating to the migration from vmWare cluster to OpenShift cluster
 
 
 </li>
 </ul>
 
 Training and Profile Requirements
 
 
 
 :
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Engineering degree or equivalent in Computer Science
 </li>
 <li>
 Proven experience in the following languages and frameworks : Java, Spring Boot, Quarkus, Javascript, Typescript, VueJS, Terraform
 </li>
 <li>
 Knowledge in the following application : Keycloak, Camunda
 </li>
 <li>
 Knowledge of virtualization and containerization : Kubernetes, Helm, Docker
 </li>
 <li>
 Experience with CI/CD tools : Gitlab
 
 
 </li>
 </ul>
 In addition to technical skills, we highly value the following soft skills :
 
 
 <ul>
 <li>
 Openness to continuous learning new languages, to understand functional and aim of implemented use cases
 </li>
 <li>
 Passion for technology : genuine interest in technical environments and latest developments
 </li>
 <li>
 Teamwork : ability to collaborate effectively with team members and contribute to a positive work environment
 </li>
 <li>
 English: good command of spoken and written English to communicate with international colleagues
 </li>
 <li>
 French: language skills are a key requirement as engineering collaboration with French colleagues will be essential
 
 
 </li>
 </ul>
 If you are motivated, curious, and passionate about technology, and wish to join a team of passionate engineers working on large-scale international projects, we look forward to receiving your application.
 
 
 
 What makes this offer special
 
 
 
 
 
 This position offers a unique opportunity to work on innovative projects in a dynamic environment, guided by domain experts. You will develop your technical skills while contributing to cutting-edge infrastructures for international projects.
 
 
 Join our passionate engineering team and help shape the infrastructures of tomorrow.
 
 
 
 
 Localisation :
 
 
 
 
 
 
 Cairo, Egypt
 
 
 
 About You
 
 
 
 Orange International Networks Infrastructures &amp; Services (OINIS) is a technical division serving the Orange Group on an international scale. With over 1,700 highly skilled employees worldwide, OINIS is a key player in networks, infrastructure, and security.
 
 
 The mission of the OINIS management is to design, plan, deploy, and operate the Group's international and long-distance networks (backbone), as well as the Group's IT infrastructures.
 
 
 This mission will take place within the Automation Department of the Telco Cloud Division.
 
 
 You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.
 
 
 
 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, neuroatypia, 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.
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Senior DevOps Engineer ATOMIC

CSI Global

<div>
 
 Job Title:
 
 Junior Civil Engineer
 
 
 
 Reports To:
 
 Senior Civil Engineer / Engineering Manager
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 About CSI Global
 
 
 
 CSI Global is a multi-disciplinary engineering and contracting group delivering advanced
 
 electromechanical, building MEP systems, testing and commissioning, contracting, construction and project management solutions
 
 across the GCC, MENA and beyond. Through our group companies, we serve the power, utilities, and infrastructure sectors with full lifecycle capabilities&mdash;from tendering and design review to execution, commissioning, and handover. We combine engineering precision with commercial excellence to power progress across complex projects in the region.
 
 
 
 Position Overview
 
 
 
 The
 
 Junior Civil Engineer
 
 provides technical support to the civil engineering team in reviewing EPC contractor civil submittals, performing engineering calculations, and assisting in the preparation of review documents and reports for the solar PV and BESS program.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Assist in the review of EPC contractor civil drawings, foundation designs, and earthworks submittals.
 </li>
 <li>
 Perform basic civil and structural calculations under the supervision of the Senior Civil Engineer.
 </li>
 <li>
 Prepare review comment sheets and technical transmittals for civil engineering submittals.
 </li>
 <li>
 Maintain the civil engineering submittal register in coordination with the Document Controller.
 </li>
 <li>
 Support the Senior Civil Engineer in drafting technical reports and design review outputs.
 </li>
 <li>
 Research applicable civil codes, standards, and specifications for project requirements.
 </li>
 <li>
 Assist in preparing responses to onsite RFIs related to civil engineering matters.
 </li>
 <li>
 Participate in internal civil engineering coordination meetings and record action items.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Civil Engineering.
 </li>
 <li>
 2 to 5 years of civil engineering experience.
 </li>
 <li>
 Basic proficiency in AutoCAD and Civil 3D.
 </li>
 <li>
 Knowledge of structural and geotechnical engineering fundamentals.
 </li>
 <li>
 Good analytical skills and attention to detail.
 </li>
 <li>
 Good English written and verbal communication.
 </li>
 </ul>
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Junior Civil Engineer

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