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ICEYE

SAR satellite constellation for Earth monitoring

Forward Deployed Backend/DevOps Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeLisbon, PortugalNo salary listed

About the Job

Requirements

  • At least 5 years of hands-on backend engineering experience building and operating production systems at scale.
  • Strong programming skills in Python, including writing typed, tested services and working with asynchronous APIs.
  • Experience designing high-performance backend systems, including APIs, distributed services, messaging, caching, and databases under real load.
  • Production experience in both cloud and on-premises environments.
  • Deep Docker and Kubernetes experience, including deploying, debugging, and upgrading clusters.
  • Experience with GitOps, infrastructure as code, and CI/CD.
  • Experience with observability through metrics, logs, and alerts.
  • Experience with PostgreSQL and/or MongoDB at production scale, including schema design, tuning, replication, backup, and recovery.
  • Ability to work at a fast pace, iterate with feedback, and prioritize working solutions.
  • Strong communication and customer engagement skills, including working with intelligence analysts and military operators.
  • Strong spoken and written English and ability to explain technical concepts to non-technical stakeholders.
  • Willingness to travel 40–60% to customer sites within the region.
  • Must be eligible and able to attain relevant national and NATO security clearances.
  • Must be based in-country and speak the language of the country being deployed to at native level.

Responsibilities

  • Deploy the intelligence platform into customer secure environments, including on-premises, air-gapped networks, and classified data centers.
  • Install, upgrade, and operate Kubernetes clusters and Docker-containerized applications in cloud and on-premises customer environments.
  • Build infrastructure-as-code and CI/CD pipelines that work without external internet access, including offline registries and artifact mirroring.
  • Troubleshoot deployment and production issues in disconnected environments, from the application layer through storage and networking.
  • Design and build APIs, services, and data pipelines that handle large volumes of satellite imagery and intelligence data with low latency.
  • Integrate company systems with customer C4ISR infrastructure and intelligence tools.
  • Own database design and production-scale performance, including schemas, indexing, tuning, replication, and backup.
  • Apply caching, queueing, and horizontal-scaling patterns, and capacity-plan for fixed on-premises hardware.
  • Build monitoring, logging, and alerting suitable for restricted environments.
  • Harden deployments to meet customer security constraints and own backup, recovery, and upgrade paths for systems requiring high availability.
  • Operate infrastructure for AI workloads, including model serving, vector databases, and GPU nodes.
  • Work embedded with intelligence analysts, operators, and customer IT teams to understand operational and infrastructure requirements.
  • Rapidly prototype and iterate to address immediate operational needs.
  • Provide hands-on training to customer administrators on platform operations.
  • Feed deployment experience back to product and engineering teams as concrete technical requirements.

Desired Qualifications

  • TypeScript experience.
  • Experience with spatial, search, or vector workloads in PostgreSQL.
  • Experience with pipelines that run offline or on isolated networks.
  • Experience in defense, intelligence, or government operational environments.
  • Experience deploying to on-premises data centers or air-gapped networks, including offline artifact and registry management.
  • Experience with event streaming and high-throughput data systems such as Kafka.
  • Deeper Kubernetes experience, including operators, service mesh, multi-cluster setups, and storage and networking internals.
  • Security hardening and accreditation experience, including system-hardening baselines and audit and compliance in classified environments.
  • Familiarity with geospatial data, satellite imagery, or remote sensing.
  • Experience running infrastructure for AI and large language model workloads, including GPU scheduling, model serving, and vector databases.
  • Regular use of AI-assisted development tools.
  • Experience in defense technology companies such as Palantir, Anduril, or Scale AI.

About the Company

ICEYE

SAR satellite constellation for Earth monitoring

ICEYE builds and operates the world’s largest synthetic aperture radar (SAR) satellite constellation to monitor the Earth continuously, day or night and in any weather. Its SAR satellites capture radar imagery that can see through clouds and darkness, giving customers in defence and intelligence, insurance, emergency management, and environmental monitoring a persistent view of wide areas. Images and analytics are delivered from a network of satellites and, increasingly, sovereign constellations that governments can operate themselves. ICEYE plans to scale up production toward about 100 satellites per year by 2028 and has pursued large funding rounds to expand capacity and sovereign delivery, aiming to grow its revenue and backlog while offering reliable, near-real-time Earth observation data.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.5B
Headquarters
Espoo, Finland
Founded
2012

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