Higgsfield

Actively Hiring

Software Engineer

Almaty, Kazakhstan

Full-time

Role Overview

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.

About Higgsfield

Higgsfieldai builds shared infrastructure that helps product teams ship quickly and run reliable services.

Key Responsibilities

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.

Requirements & Eligibility

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.

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.

Required Skills & Tech

KubernetesAWSDatabasesQueuesDistributed SystemsCloudflareInfrastructure as CodePostgreSQLRedisEvent-streaming systems