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Gini Apps

Senior DevOps Engineer (Backend Oriented)

Gini Apps Tel Aviv, Tel-Aviv District, Israel

Software Development · 51-200 employees

2 d ago
devops Senior (5-10 yrs) Full-time Israel
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About the role

Own and operate production infrastructure across on-premises and cloud environments, including Dockerized deployments, CI/CD, infrastructure as code, observability, security, and GPU-based workloads. Contribute to backend services and APIs while partnering with backend, ML, and product teams to improve performance, scalability, reliability, and deployment operations.

What they look for

DevOps Backend Development Python Docker Docker Compose CI/CD Infrastructure as Code Cloud Infrastructure On-Premises Infrastructure Linux Networking PostgreSQL Prometheus Grafana GPU Workloads System Reliability

Requirements

Requires 5+ years of DevOps, SRE, platform, or infrastructure engineering experience, strong backend development skills (preferably Python), and hands-on production experience with Docker and on-premises systems. Candidates should also bring cloud, CI/CD and IaC, Linux, networking, PostgreSQL, observability, system design, reliability, scalability, and security experience, plus a relevant bachelor's degree or equivalent academic background.

Full 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.

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