This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
A venture-backed startup at the intersection of AI and national security is building the next generation of secure data sharing technology – and they’re looking for a Data focused Infrastructure Engineer to join the founding team. This is an opportunity to work on systems where speed, scale, and security are mission-critical. You’ll design and deploy infrastructure that supports ML-powered applications, ensuring sensitive data can move seamlessly and securely across highly complex environments.
Job Responsibility:
Build and maintain the data pipelines and infrastructure that power ML applications
Deploy and manage models at scale, from training through production
Design APIs and services that integrate smoothly into mission-critical workflows
Ensure data is handled and secured properly across large, distributed environments
Collaborate closely with a small, fast-moving team to solve hard technical problems in real-world settings
Requirements:
Strong engineering experience in Python, Go, or C
Experience building and scaling production data systems
Hands-on expertise with model deployment and ML Ops practices
Knowledge of database design, performance tuning, and operations
Someone who thrives in early-stage, fast-paced environments and enjoys tackling complex challenges
Nice to have:
Experience in defence, intelligence, or government systems
Background in enterprise-scale search or ML-powered infrastructure
Familiarity with Kubernetes, Docker, and AWS
Skills in encryption, authentication, DevOps, or SRE practices
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