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Higgsfield AI

Backend Software Engineer, Infrastructure

Higgsfield AI is hiring a Backend Software Engineer, Infrastructure in Almaty, Kazakhstan. Level rates it ; you can apply on Level.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • Level lists 93 other open roles at Higgsfield AI.
  • The role was posted in the last few days.

AI in this role

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

  1. Recruiter screen: expectations, logistics, and fit.

  2. Technical interview: a difficult system you shipped, your decisions, and the results.

  3. Additional technical interview, if needed.

  4. Product fit interview: investigate a team’s bottleneck and plan a practical improvement, adoption, and safe rollout.

  5. Offer.

What we offer

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

How we rate this

Backend Software Engineer, Infrastructure at Higgsfield AI rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Pay

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$168k

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