Senior DevOps Engineer (Backend Oriented)

Description A Defense-Tech company developing advanced AI and real-world technology is looking for a Senior DevOps Engineer (Backend Oriented) to take ownership of its infrastructure and deployment environment. The role combines hands-on DevOps with real backend development, Docker, and production on-premises environments. What You’ll Do: Design, build, and own production infrastructure across on-premises and cloud environments, including customer deployments, upgrades, remote management, and recovery.

Build and maintain Dockerized services and multi-container deployments using Docker Compose. Own CI/CD, Infrastructure-as-Code, release processes, and deployment strategy from development through production. Build observability across the stack, including monitoring, logging, alerting, and operational practices. Manage GPU-based workloads and ensure AI workloads run reliably on real hardware.

Contribute to backend services and APIs, improving performance, data processing, database access, and real-time event handling. Own networking, secrets management, security hardening, and infrastructure reliability. Work closely with backend, ML, and product teams to improve scalability, deployment, and operational excellence.

Requirements

5+ years of experience in DevOps, SRE, Platform, or Infrastructure Engineering. Strong hands-on backend development experience, preferably with Python. Deep hands-on production experience with Docker and Docker Compose. Real-world experience operating production systems on-premises, ideally on physical servers. Strong experience with AWS, GCP, or Azure, and with CI/CD and IaC tools such as Terraform or Ansible.

Strong Linux, networking, and system-level troubleshooting skills. Production experience with PostgreSQL and observability tools such as Prometheus, Grafana, or Loki. Strong understanding of system design, reliability, scalability, and security. B.Sc. in Computer Science or a related degree, or equivalent academic background.

Proactive, hands-on, and comfortable taking ownership in a fast-moving startup environment. Bonus Points For: On-prem / air-gapped environments, edge devices, GPU/NVIDIA. Real-time video, streaming, distributed systems, or strict performance constraints. Python/FastAPI, ML infrastructure, LLMs, vector DBs, or AI agents.

Defense-tech, security, robotics, autonomous systems, or physical-world AI. 0→1 / early-stage startup experience.