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Backend Software Engineer, Infrastructure

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Onsite

Backend Software Engineer, Infrastructure

Higgsfield AI

Backend Software Engineer, Infrastructure

Skills

PostgreSQLRedisAIAWSKubernetes

3 days ago

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Important information


Contract type:

Permanent

Location:

Almaty, Kazakhstan

Work mode:

Onsite

Published on:

18 October 2026

What they need


Software Engineer, Infrastructure Almaty, Kazakhstan Build the shared infrastructure that helps Higgsfield’s product teams ship quickly and run reliable services. You’ll own problems from finding the bottleneck to shipping a solution and supporting it in production.

What You’ll Do

  • Build shared services for queues, job scheduling, caching, configuration, and service communication.
  • Improve concurrency limits, resource allocation, and recovery for long-running media workloads.
  • Make database access, migrations, and connection management safer and faster.
  • Simplify service setup, testing, deployment, and production debugging.
  • Improve observability, investigate incidents, and reduce infrastructure cost per completed job.
  • Work directly with product engineers, ship focused improvements, and measure the results. Our release cycle is days, not quarters.

Required

  • Experience running production systems on Kubernetes (K8s) and AWS, including deployments, scaling, networking, and troubleshooting.
  • Strong software engineering skills: you build shared services, tools, and automation that other engineers use.
  • Experience with databases, queues, and distributed systems, including performance debugging, safe rollouts, and recovery.
  • A difficult production problem you owned from an unclear starting point to a working solution.
  • Ability to set priorities, make practical tradeoffs, remove blockers, and ask for help when needed.
  • Clear communication, openness to feedback, and knowledge sharing so others can operate and extend your work.

Nice to have

  • Cloudflare.
  • Infrastructure as code.
  • PostgreSQL, Redis, or event-streaming systems.
  • High-throughput media pipelines or AI workload orchestration.

Interview process

  • Recruiter screen: expectations, logistics, and fit.
  • Technical interview: a difficult system you shipped, your decisions, and the results.
  • Additional technical interview, if needed.
  • Product fit interview: investigate a team’s bottleneck and plan a practical improvement, adoption, and safe rollout.
  • Offer.

What we offer Competitive base pay in USD, equity, relocation support, and ownership of infrastructure used across our engineering teams.

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