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Open nowFirst seen 3 hours ago

Senior DevOps Engineer (Backend Oriented)

gini-apps/66.00023 open roles

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Gini-Apps
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Your applicationOpen nowSenior DevOps Engineer (Backend Oriented)gini-apps/66.000 · Gini-Apps

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11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 3 hours ago

The posting

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.
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