{"id":1292346,"url":"https://alion.io/job/optics11-data-ml-infrastructure-engineer","title":"Data & ML Infrastructure Engineer","company":{"id":2001460,"name":"Optics11","domain":"optics11.com","url":"https://alion.io/company/optics11","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":199000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DVC","optional":false},{"name":"Feast","optional":false},{"name":"GCP","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"InfluxDB","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"IAM","optional":true}],"status":"live","first_seen_at":"2026-07-01T10:27:24Z","employer_posted_date":"2026-07-01","last_verified_at":"2026-09-28T15:17:44Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"description":"We are expanding our team with a Data & ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.\nIn this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.\nThis role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.\nKey Responsibilities:\nDesign, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.\n\nEnsure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.\n\nMaintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.\n\nBuild and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.\n\nEnforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.\n\nDevelop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.\n\nOptimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.\n\nImplement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.\n\nEnsure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.\n\nCollaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.\n\nManage resource and cost controls, including budgets, approvals, and tracking.\n\nContribute to documentation, operational runbooks, and onboarding materials for the platform.\n\nWhy Join Us?\nJoin one of Europe’s most promising deep-tech scale-ups.\n\nShape the future of a rapidly growing multidisciplinary R&D organization.\n\nCompetitive salary and benefits package.\n\nEnjoy regular team activities and company events.\n\nFresh team lunches provided3 times/ week.\n\nRequirements\nRequired Qualifications:\nMSc or equivalent with 5+ years’ industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.\n\nStrong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).\n\nProven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.\n\nExperience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).\n\nExperience with AWS Sagemaker or Google Vertex AI platforms.\n\nExperience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).\n\nExperience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).\n\nHands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).\n\nExperience with CI/CD systems (e.g., GitLab CI).\n\nProgramming skills in Python.\n\nExperience with monitoring and observability tools (Prometheus, Grafana).\n\nUnderstanding of DevOps and MLOps practices.\n\nAbility to work across teams and translate requirements into scalable infrastructure solutions.\n\nNice to Have:\nKnowledge of data governance, IAM, and security frameworks.\n\nExperience with cost optimization and resource management in cloud environments.\n\nFamiliarity with multi-tenant or multi-product platform architectures.\n\nExperience working with EU data compliance constraints in energy, maritime or defense.\n\nSecurity & Compliance:\nYou'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.","description_format":"text","description_chars":4613,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"Dutch","level":"All levels","optional":false}]},"benefits":["Company events"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Telecommunications","C4ISR","Broadband"],"lifecycle":[{"event":"open","at":"2026-09-26T08:12:03Z"}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.489,"p_room":0.28,"age_days":88,"expected_fill_days":42,"reasons":["conf:11","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/optics11-data-ml-infrastructure-engineer","json_url":"https://alion.io/job/optics11-data-ml-infrastructure-engineer.json","meta":{"generated_at":"2026-09-29T02:58:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2642,"day_limit":5000,"remaining_today":2358,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}