senior network engineer

ai platform engineer

aws devops senior

senior backend engineer

senior data engineer

senior lead software engineer

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer
 
 to join
 
 Procore&rsquo;s Runtime Platform
 
 . In this role, you&rsquo;ll act as an
 
 Observability Ambassador
 
 , embedding with product engineering teams to overhaul their observability experience. Your primary goal is to move teams from "blind" to "informed" by implementing
 
 OpenTelemetry
 
 and ensuring clear, actionable visibility within
 
 Honeycomb
 
 and
 
 Datadog
 
 .
 
 
 As a
 
 Senior Software Engineer,
 
 you&rsquo;ll partner with product engineering, Traffic, and Incident Management teams to implement technical "
 
 Golden Paths
 
 " for
 
 telemetry
 
 and lead the transition to high-maturity operational standards. Use your expertise in distributed systems,
 
 OpenTelemetry
 
 , and cross-team collaboration to directly improve Procore's "First to Know" and "Quick to Fix" metrics across the global organization. Help us build a world-class developer experience&mdash;Join us today!
 
 
 This position reports into the
 
 Director of Engineering, Platform Services
 
 and will be based in our
 
 Cairo office.
 
 We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 Lead the hands-on transition to OpenTelemetry by embedding with product teams to write code, configure collectors, and build performance dashboards.
 </li>
 <li>
 Implement "Golden Paths" for telemetry to ensure central libraries are easily adopted by engineering teams.
 </li>
 <li>
 Review product team architectures to identify observability gaps and develop specific technical plans to fill them.
 </li>
 <li>
 Evangelize observability best practices by leading internal sessions and documenting vendor-specific nuances for Honeycomb and Datadog.
 </li>
 <li>
 Collaborate with Traffic and Incident Management teams to ensure product engineers have the necessary data to resolve incidents independently.
 </li>
 <li>
 Provide high-quality technical support to global teams during the Cairo workday to support Procore&rsquo;s "Follow-the-Sun" operational model.
 </li>
 <li>
 Develop tools and processes that empower product teams to handle their own service incidents with confidence.
 </li>
 <li>
 Bridge the gap between central platform initiatives and localized product engineering needs.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related field, or equivalent experience.
 </li>
 <li>
 4+ years of software engineering experience with a proven track record of taking projects from concept to production.
 </li>
 <li>
 Practical experience with OpenTelemetry and at least one major observability vendor such as Honeycomb, Datadog, or Grafana/Prometheus.
 </li>
 <li>
 Strong proficiency in Ruby on Rails, Go, or Java, with the ability to adapt quickly to new codebases.
 </li>
 <li>
 Deep passion for distributed systems and a proactive approach to "debugging the system" rather than just the code.
 </li>
 <li>
 Excellent communication skills and the ability to build trust quickly while embedding with diverse engineering teams.
 </li>
 <li>
 Strong sense of customer empathy and a commitment to improving the "Developer Experience" for peers.
 </li>
 </ul>
</div>

Senior Software Engineer - Observability

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior DevOps Engineer
 
 
 
 Job Description
 
 
 
 SiliconExpert Technologies, Inc. is looking for Senior DevOps Engineers with strong development background, who will be responsible for enabling faster release and deployment cycles, by taking advantage of agile development methodologies, improved collaboration between business stakeholders, application development and operations teams and automation tools, they will work collaboratively with software engineering to deploy and operate our systems, automate and streamline our operations and processes, build and maintain tools for deployment, monitoring and alerting, and troubleshoot and resolve issues in our Dev/QA/Prod. environments.
 
 
 
 Job Overview
 
 
 
 
 Primary focus for the role developing and building containerization solutions, Senior DevOps Engineer installs and configures solutions, implement reusable components, translate technical requirements, and assist with all stages of test data and monitoring the container orchestration layer
 
 .
 
 
 Senior DevOps Engineer will build automated deployments, through the use of configuration management technology, helps create requirements and procedures for implementing routine maintenance, deploy new modules and upgrades and complete fixes within the production environment and troubleshooting existing information systems for errors and resolving those errors.
 
 
 Senior DevOps Engineer will build and implement infrastructure / application disaster recovery solution, through the use of infrastructure as code technology.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Take the full responsibility to write dockerfile for all apps and Transform Spring boot Java application and Nodejs/Angular/ PHP to containerized images.
 </li>
 <li>
 Using AWS Services to store and run the images with EKS orchestration layer.
 </li>
 <li>
 Plan, design, sizing, Implement and operate the Kubernetes cluster using EKS infrastructures and other integrated AWS services.
 </li>
 <li>
 Using ArgoCD and Helm for application deployments.
 </li>
 <li>
 Automate the infrastructure provisioning &amp; operations using Terraform.
 </li>
 <li>
 Automate the Configuration management using ansible.
 </li>
 <li>
 Plan and Implement DR Plan on AWS.
 </li>
 <li>
 On call duties.
 </li>
 <li>
 Troubleshooting existing information systems for errors and resolving those errors.
 </li>
 <li>
 Work closely with development &amp; QA teams to create processes and tools that provide immediate feedback on source changes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Bachelor&rsquo;s degree in Computer Engineering / Computer Science or equivalent education in the form of work experience at similar technology positions.
 
 
 A minimum of 3 years of work experience as a Developer/Systems Administrator/DevOps, supporting development teams (sysadmins + Java/Angular software development).
 
 
 <ul>
 <li>
 Experience in containers/container orchestration platforms; Docker, Kubernetes and AWS EKS. (Minimum of 2 years of work experience)
 </li>
 <li>
 Experience in ArgoCD, Helm and EKS cluster monitoring and Auto scaling.
 </li>
 <li>
 Experienced with Terraform as IaC knowledge, integrated with AWS different services (EC2, ECR, EKS, VPC, IAM, S3, ELB).
 </li>
 <li>
 Experienced in AWS platform as DevOps (Deployment strategies, Disaster Recovery, IaC, Security and Automation).
 </li>
 <li>
 Strong Knowledge in AWS platform as Solutions Architect (High availability, elasticity, Scalability, Migration and Cost Estimated / Optimization).
 </li>
 <li>
 Good Knowledge with Ansible for configuration management integrating with AWS different services to automate different tasks.
 </li>
 <li>
 Strong Knowledge of managing CI/CD tools preferably Jenkins.
 </li>
 <li>
 Good Knowledge of monitoring and logging tools ELK, Newrelic.
 </li>
 <li>
 knowledge of Build Tools (Maven, AngularJS) and Webservers Tomcat/Apache
 
 
 </li>
 </ul>
 
 Certificates
 
 
 
 AWS DevOps Professional is advanced.
 
 
 CKAD / CKA is advanced.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior DevOps Engineer

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer Evangelist
 
 to join Procore&rsquo;s Infrastructure Platform division to work on our commercial initiatives. In this role, you&rsquo;ll help build and evangelize Procore&rsquo;s next-generation construction compute platform for others to build upon, including Procore developers, analysts, partners, and customers.
 
 
 As a
 
 Senior Software Engineer Evangelist
 
 , you&rsquo;ll partner with other engineers and product managers across Product &amp; Technology to develop and maintain compute platform capabilities that enable SaaS based products to operate in a secure and compliant environment. A core part of this role is focusing on internal developer enablement, ensuring a seamless platform experience, and evangelizing platform features and best practices. To be successful in this role, you&rsquo;re passionate about distributed systems on the cloud with experience in operating and maintaining cloud based products at-scale. If you&rsquo;re an engineer comfortable and excited about building our next-generation platform and translating problems into pragmatic solutions that open up the boundaries of technical possibilities&mdash;we&rsquo;d love to hear from you!
 
 
 This position reports to the Enablement Manager for Infrastructure Platform and will be based in our Cairo office. We&rsquo;re looking for someone to join us immediately.
 
 
 What you&rsquo;ll do:
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Participate in the design and implementation of our next-generation platform for the construction industry, primarily focused on building and supporting distributed systems, internal developer experience, and ease of adoption.
 </li>
 <li>
 Act as a platform evangelist, creating documentation, leading training sessions, and sharing best practices to enable internal engineering teams to utilize platform features effectively.
 </li>
 <li>
 Drive and support the engineering team in all phases of the software development lifecycle, ensuring platform stability, observability, and compliance.
 </li>
 <li>
 Help identify and propose solutions for technical gaps in our platform by running proof of concepts and experiments, with a keen eye on the latest advancements in the Kubernetes ecosystem.
 </li>
 <li>
 Work alongside our Product, UX, and IT teams, leveraging your expertise to influence our product roadmap and deliver innovative solutions that enhance developer productivity.
 </li>
 <li>
 Stay up to date with the latest platform and Kubernetes technology trends, and advocate for their adoption where appropriate.
 
 
 </li>
 </ul>
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 Experience maintaining application services in kubernetes clusters.
 </li>
 <li>
 Experience provisioning and operating cloud native tools at scale.
 </li>
 <li>
 2+ years of experience as a CKD.
 </li>
 <li>
 4+ years of experience operating cloud-based, highly available, distributed, and scalable systems with large amounts of data.
 </li>
 <li>
 Experience and proficiency in composing and maintaining kubernetes manifests, such as Helm and Kustomize.
 </li>
 <li>
 Experience and proficiency in managing infrastructure as code, such as Terraform.
 </li>
 <li>
 Experience in advising development and customized automation for CI/CD pipelines and building container images.
 </li>
 <li>
 Experience with AWS (RDS, EC2, S3, IAM etc.)
 </li>
 <li>
 Proven ability to lead technical enablement initiatives, mentor engineers, and drive the adoption of new platform features.
 </li>
 </ul>
</div>

Senior Software Engineer Evangelist - Infrastructure Platform

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

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>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 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>
 
 Position~
 
 
 
 AI4all
 
 
 
 D&eacute;partement~
 
 
 
 Product technical
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-02-03
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Senior DevOps Engineer, AI4ALL

<div>
 
 About Brightly Software
 
 
 
 Brightly Software is a leader in intelligent asset management and operational optimization, empowering organizations with data‑driven insights. As we expand our AI and ML capabilities, we are seeking a Senior MLOps Engineer to build and scale the infrastructure that powers our next generation of predictive and autonomous solutions.
 
 
 
 Role Overview
 
 
 
 As a Senior MLOps Engineer, you will architect, develop, and operate end‑to‑end machine learning infrastructure on AWS. You will work at the intersection of ML engineering, cloud infrastructure, and developer productivity&mdash;enabling Brightly's data science teams to move seamlessly from experimentation to reliable, secure, and cost‑efficient production systems.
 
 
 Your work will ensure that ML models and data pipelines are scalable, observable, and compliant with best‑in‑class MLOps practices.
 
 
 
 Key Responsibilities
 
 
 
 
 ML Platform &amp; Infrastructure (AWS‑focused)
 
 
 
 <ul>
 <li>
 Design, build, and operate ML/AI development platforms on AWS, leveraging services such as Amazon SageMaker (Studio, Training, Real‑Time &amp; Async Inference, Pipelines, Feature Store), S3, Glue, Lambda, ECS/EKS, and related cloud infrastructure.
 </li>
 <li>
 Implement infrastructure‑as‑code using Terraform or equivalent, and manage workflow orchestration using AWS Step Functions or Airflow.
 
 
 </li>
 </ul>
 
 Data &amp; Model Pipelines
 
 
 
 <ul>
 <li>
 Build automated data ingestion and transformation pipelines using S3, Glue, EMR/Spark, and Redshift, incorporating data quality and lineage tooling (e.g., Great Expectations, Deequ).
 
 
 </li>
 </ul>
 
 CI/CD for Machine Learning
 
 
 
 <ul>
 <li>
 Develop CI/CD pipelines for ML with CodeBuild, CodePipeline, or GitHub Actions, integrating unit tests, data contract checks, model validation, canary/shadow deployments, and automated rollback strategies.
 
 
 </li>
 </ul>
 
 Model Deployment &amp; Operations
 
 
 
 <ul>
 <li>
 Deploy real‑time inference endpoints (SageMaker endpoints or FastAPI‑based services on Lambda/ECS/EKS) and scalable batch processing jobs.
 </li>
 <li>
 Define SLOs, implement autoscaling, and drive cost/performance optimizations across ML workloads.
 
 
 </li>
 </ul>
 
 Monitoring, Observability &amp; Governance
 
 
 
 <ul>
 <li>
 Implement production monitoring for drift, bias, and performance using SageMaker Model Monitor and service telemetry tools like CloudWatch, Prometheus, and Grafana.
 </li>
 <li>
 Enforce security and governance best practices, including least‑privilege IAM, VPC‑isolated architectures, encryption, and secret management.
 
 
 </li>
 </ul>
 
 Cross‑Functional Collaboration
 
 
 
 <ul>
 <li>
 Partner closely with data scientists, ML engineers, and backend engineers to productionize ML models and streamline development workflows.
 </li>
 <li>
 Contribute to the integration of emerging GenAI workloads, including Amazon Bedrock, vector databases (e.g., OpenSearch), and RAG pipelines.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 7+ years of professional experience in ML engineering, DevOps, cloud engineering, or MLOps roles, with at least 3 years in a senior or lead capacity.
 </li>
 <li>
 3+ years of proven track record in designing and architecting robust, scalable ML systems and infrastructure in cloud environments, particularly on AWS.
 </li>
 <li>
 5+ years of deep experience building on the AWS ML ecosystem, including SageMaker, S3, Lambda, ECR, EKS/ECS, Step Functions, IAM, VPC networking, and CI/CD tooling.
 </li>
 <li>
 3+ years of hands-on experience deploying, maintaining, and scaling ML models in production environments.
 </li>
 <li>
 3+ years of strong Python development skills and familiarity with Docker‑based workflows.
 </li>
 <li>
 5+ years of solid understanding of ML lifecycles, model evaluation, and monitoring patterns.
 </li>
 <li>
 5+ years of extensive experience with infrastructure‑as‑code (Terraform, CloudFormation).
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 5+ years of expertise in designing system architecture for ML platforms, including microservices, container orchestration, and cloud networking.
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 3+ years of familiarity with MLOps best practices as defined by AWS and industry standards.
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 2+ years of experience with data quality frameworks (Great Expectations, Deequ).
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 2+ years of experience optimizing distributed training workflows on AWS.
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 3+ years of knowledge of security and compliance requirements for ML in enterprise settings, such as IAM, encryption, and secret management.
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 2+ years of experience with monitoring tools (CloudWatch, Prometheus, Grafana) and implementing model observability solutions.
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 5+ years of effective cross-functional collaboration skills, working closely with data scientists, ML engineers, and software engineers to deliver production-grade ML solutions.
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 7+ years of excellent problem-solving and communication abilities, with a focus on delivering scalable, reliable, and cost-effective ML platforms.
 
 
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 </ul>
 
 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.
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Senior Machine Learning Operations Engineer

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