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Software Engineer - Golang / Kubernetes (m/f/d)

Turba AI GmbH

Heidelberg

Hybrid

EUR 60.000 - 80.000

Vollzeit

Vor 30+ Tagen

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Zusammenfassung

A leading AI technology company in Heidelberg is seeking a Kubernetes Operator Developer to design and maintain production-grade Kubernetes Operators. The ideal candidate will have 3-5 years of software engineering experience, proficiency in Go, and a solid understanding of Kubernetes internals. This role offers competitive pay, flexible hours, and an opportunity to work with a diverse international team.

Leistungen

Competitive pay
Flexible hours
Flat hierarchies
Opportunity for impact
Diverse international team
Collaboration with exceptional engineers

Qualifikationen

  • 3-5 years of experience in Software Engineering in Go.
  • Good grasp of Kubernetes internals, including controller patterns and CRDs.
  • Familiarity with Kubernetes scheduler plugins and extension points.
  • Solid understanding of GPU architectures in Kubernetes.
  • Ability to collaborate across different teams.
  • Experience with CI/CD pipelines and modern workflows.
  • Proficiency in Bash and/or Python for scripting.

Aufgaben

  • Design, develop, and maintain production-grade Kubernetes Operators.
  • Architect and implement Custom Resource Definitions (CRDs) and controllers.
  • Build and optimize custom scheduler plugins.
  • Develop, deploy, and manage DaemonSets for GPU optimization.
  • Collaborate with engineering teams for custom solutions.
  • Research trends in Kubernetes and prototype innovative solutions.

Kenntnisse

Software Engineering in Go
Kubernetes internals
Custom scheduling logic
GPU architecture understanding
Collaboration across teams
CI/CD pipelines
Bash scripting
Python automation
Jobbeschreibung
Your mission
  • Kubernetes Operator Development: Design, develop, and maintain production-grade Kubernetes Operators using frameworks like Operator SDK or Kubebuilder to automate application lifecycle management and infrastructure orchestration.

  • Custom Resource Design: Architect and implement Custom Resource Definitions (CRDs) and controllers to extend the Kubernetes API

  • Scheduler Plugin Engineering: Build and optimize custom scheduler plugins to refine workload placement strategies, addressing business-specific requirements such as cost-efficiency, latency reduction, or resource constraints.

  • GPU Optimization: Develop, deploy, and manage DaemonSets that enable and execute optimizations on NVIDIA and AMD GPUs.

  • Cross-Functional Collaboration: Partner with other engineering teams to embed custom solutions into the Kubernetes world

  • Innovation & Ecosystem Engagement: Research emerging trends in the Kubernetes ecosystem (e.g., KEPs, upstream projects) and prototype innovative solutions to address evolving infrastructure challenges.


Your profile
  • 3-5 years of experience in Software Engineering in Go
  • Good grasp of Kubernetes internals, including controller patterns, reconciliation loops, and API extension via CRDs
  • Familiarity with designing custom scheduling logic using Kubernetes scheduler plugins and extension points
  • Solid understanding of GPU architectures and how to expose, manage, and optimize them in Kubernetes clusters
  • Ability to collaborate across different teams to embed custom functionality into cluster workflows
  • Experience withCI/CD pipelinesand working in modern software delivery workflows
  • Proficiency in Bash and/or Python for basic scripting and automation tasks

Why us?
  • Competitive pay & perks: because great work deserves great rewards
  • Work on your terms: flexible hours and remote-friendly culture
  • Fast lanes, no red tape: flat hierarchies and rapid decision-making mean your ideas go live
  • Make it happen: your ideas aren’t just heard - they’re shipped
  • Right place, right time: be part of our growth story and build a career-defining legacy
  • Global by design: work with a diverse, international team across Germany and the US
  • Work with the best: work alongside exceptional engineers and raise the bar together

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