Production Engineer – Scale AI Infra & Reliability (Zurich)

DeepJudge; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

DeepJudge is hiring a Production Engineer to run and evolve our platform in production. You will provide incident support, build tooling, automation, and observability to keep systems reliable and catch issues before customers are affected.

You’ll learn system behavior under real workloads, simplify architectures, and help DeepJudge scale as customers and data grow. This role suits those who enjoy distributed systems, automation, and impactful production work.

Qualifications

• 4+ years of experience in Software/Production/Infrastructure engineering operating production systems.
• Ability to lead technical incident response and communicate across teams.
• Experience debugging across Kubernetes, networking, databases and cloud infra.
• Hands-on with Kubernetes, containers, Linux and modern observability tooling.
• Proficient in Go, Python, Rust, Java or TypeScript.

Responsibilities

• Lead technical response to production incidents, guiding investigations and coordinating resolution across teams.
• Identify root causes and drive improvements to reliability and resilience.
• Build automation, tooling, and workflows to boost engineering productivity and safe deployments at scale.
• Collaborate with product engineers to improve reliability and performance of new features before production.
• Contribute to engineering best practices around reliability, testing, deployments, observability, and operations.

Skills

Kubernetes

Production systems

Incident response

Go

Python

Rust

Java

TypeScript

Linux

Cloud platforms

Tools

Docker

CI/CD pipelines

Monitoring tooling

Job description

DeepJudge is hiring a Production Engineer to run and evolve our platform in production. You will provide incident support, build tooling, automation, and observability to keep systems reliable and catch issues before customers are affected.

You’ll learn system behavior under real workloads, simplify architectures, and help DeepJudge scale as customers and data grow. This role suits those who enjoy distributed systems, automation, and impactful production work.