Data Platform Engineer designing, deploying, and operating secure data platforms at Prenomics. Involves data architecture, integration, and DevOps tasks in a hybrid work setup.
About the role
- Senior Infrastructure & Platform Engineer delivering secure, scalable cloud solutions at ICEYE. Collaborating with teams to enhance AWS infrastructures and support on-premise operations.
Responsibilities
- Lead and evolve cloud foundations in AWS: multi‑account setup and guardrails (Organizations, IAM/SCP/SSO), secure networking, encryption (KMS), secrets, artifact governance.
- Support on-premise deployments when needed, working closely with other engineering teams.
- Choose the right compute & orchestration for the service/product needs we have.
- Codify everything: build reusable Terraform/Terragrunt/CDK modules; drift control; environment promotion. Automate when possible.
- Harden CI/CD: SBOMs, image signing, policy gates, progressive delivery, fast rollback.
- Observability that matters: metrics/logs/traces (CloudWatch and/or Datadog), SLOs/error budgets, alerting, incident response with blameless postmortems.
- Security at speed: vulnerability management, supply‑chain hardening, least‑privilege by default, data‑access boundaries.
- Cost & performance: capacity planning, spot strategies, storage patterns for large rasters (S3, EFS/FSx), data‑locality aware processing.
- Partner to productize: help package Python algorithms into cloud‑native services and simple job specs; provide “golden‑path” templates for the team.
- Amplify with AI‑assist: accelerate coding, test generation, docs/runbooks—aligned with ICEYE’s AI‑productivity direction.
Requirements
- Deep AWS experience operating production systems at scale
- Strong with Python for automation/tooling (reading service code as needed)
- Batch/workflow orchestration
- Containers at scale (Docker, ECR), CI/CD, artifact integrity and rollout strategies
- IaC (Terraform/Terragrunt or CDK) and Git‑driven ops
- Production observability and SRE practices (SLOs, incident response), CloudWatch/Datadog
- Security fundamentals: IAM, network segmentation, encryption, vulnerability management
- Kubernetes or equivalent
- LLM IDE Tooling proficiency & curiosity (e.g. Cursor, Claude, Copilot)
Benefits
- A job that matters in a dynamic Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Occupational healthcare, occupational and accident insurance
- A yearly benefit budget to spend as you wish (i.e. on sport, transport, bike benefit, wellness, lunch, etc.)
- Phone subscription with iPhone of choice
- Relocation support (i.e. flight tickets, accommodation, relocation agency support)
- Time for self-development, research, training, conferences, or certification schemes
- Inspiring and collaborating offices and silent workspaces enable you to focus
- A wide variety of the best coffee, tea, snacks, and sweets to accompany your daily space mission
- Competitive salary contingent on your experience level, and will be negotiated individually
- Employment is subject to applicable security screening (incl. SUPO, where required)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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