1 day ago
Lisbon, PortugalSenior
Responsibilities
- Deploy, install, upgrade, and operate ICEYE’s platform, Kubernetes clusters, and containerized applications in cloud, on-premises, secure, and air-gapped customer environments.
- Build infrastructure-as-code, offline-capable delivery pipelines, artifact mirroring, and isolated-network deployment processes.
- Design and build high-performance APIs, backend services, data pipelines, integrations, and database systems for large-scale satellite imagery and intelligence data.
- Own PostgreSQL and MongoDB schema design, indexing, tuning, replication, backup, recovery, caching, queueing, scaling, and capacity planning.
- Build monitoring, logging, alerting, security hardening, recovery paths, and reliable infrastructure for AI workloads including model serving, vector databases, and GPU nodes.
- Work directly with intelligence analysts, operators, customer IT teams, and administrators to prototype solutions, provide training, and translate deployment experience into product requirements.
- Troubleshoot application, storage, networking, deployment, and production issues in disconnected environments.
- Travel 40–60% to customer sites within the region.
Requirements
- At least 5 years of hands-on backend engineering experience building and operating production systems at scale.
- Strong Python programming skills, including typed and tested services and asynchronous APIs; TypeScript is a plus.
- Experience designing high-performance APIs, distributed services, messaging, caching, and databases under real production load.
- Production experience in both cloud and on-premises environments, including AWS.
- Deep hands-on Docker and Kubernetes experience, including deployment, debugging, and cluster upgrades.
- Experience with GitOps, Terraform, Ansible, infrastructure-as-code, observability, and CI/CD pipelines, preferably in offline or isolated networks.
- Production-scale PostgreSQL and/or MongoDB experience covering schema design, tuning, replication, backup, and recovery.
- Strong communication and customer engagement skills, including the ability to work with intelligence analysts and military operators.
- Strong spoken and written English and the ability to explain technical concepts to non-technical stakeholders.
- Willingness to travel 40–60% to customer sites within the region.
- Eligibility and ability to attain relevant national and NATO security clearances; candidates must be based in-country and speak the deployment country’s language at a native level.
- Preferred qualifications include defence, intelligence, government, air-gapped, on-premises, event-streaming, advanced Kubernetes, security hardening, geospatial, satellite imagery, remote-sensing, AI/LLM infrastructure, or defence-technology experience.
- Kafka or similar event-streaming experience, GPU scheduling, model serving, vector databases, and active use of AI-assisted development tools are additional advantages.
Benefits
- Hybrid working arrangement with approximately 50% of time on-site at customer locations.
- Continuous professional development and training opportunities.
- Health and wellbeing benefits, with offerings varying by location and confirmed during the hiring process.
- Inclusive, collaborative work culture with meaningful ownership from day one.
Tech Stack
Categories
Forward Deployed
About ICEYE
ICEYE builds and operates a commercial synthetic-aperture-radar (SAR) satellite constellation that provides high-revisit imagery and change-detection services for government and enterprise users. It sells tasking, data and analytics subscriptions, disaster-response solutions for insurers, and turnkey sovereign constellations that national customers can own and operate. Founded in 2015 and headquartered in Espoo, Finland, ICEYE’s systems support defense and intelligence, environmental monitoring, and emergency management worldwide.