{"id":1574545,"url":"https://alion.io/job/valeo-ai-engineer-devops-ai4all","title":"AI Engineer - DevOps, AI4ALL","company":{"id":4446,"name":"Valeo","domain":"valeo.com","url":"https://alion.io/company/valeo","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":208,"ghost_share":0,"stale_share":0.99,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-08T05:49:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":191000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1757},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"MLFlow","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-08T20:31:54Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.\nResponsibilities\nDeploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.\n\nManage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.\n\nInfrastructure as Code:Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.\n\nCI/CD & Software Verification:Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.\n\nBuild robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.\n\nStreamline the release process for backend and frontend applications, ensuring \"one-click\" reliability.\n\nOversee the deployment, maintenance, and backup strategies for databases.\n\nImplement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.\n\nImplement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.\n\nQualifications\nEducation & Experience\nB.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.\n\n5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).\n\nProven experience acting as a Senior or Lead engineer, guiding architectural decisions.\n\nTechnical Requirements\nAdvanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.\n\nProven ability to design and implement robust, scalable, and secure cloud architectures.\n\nMastery of Docker and Kubernetes administration.\n\nStrong proficiency in Terraform.\n\nExpert knowledge of GitHub Actions for building, test, build, and deploy pipelines.\n\nExperience managing PostgreSQL and ClickHouse databases.\n\nDeep understanding of Linux System Administration.\n\nExperience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).\n\nStrong proficiency in Python and Bash scripting.\n\nFamiliarity with DevSecOps tools and practices.\n\nBonus:Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.\n\nBonus:Knowledge of Javascript/Node.js is a strong plus.\n\nSoft Skills & Mindset\nAbility to design long-term solutions rather than quick fixes.\n\nExcellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.\n\nComfortable working in a fast-paced environment with evolving requirements.\n\nFluent English is a must.\n\nJob:\nAI4all, R&D IS EngineerOrganization:\nSoftware DevelopmentSchedule:\nFull timeEmployee Status:\nRegularJob Type:\nJob Posting Date:\n2026-02-03Join Us !\nBeing part of our team, you will join:\n- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development\n- a multi-cultural environment that values diversity and international collaboration\n- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth\n- 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\nMore information on Valeo: 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