Software Engineer – Golang, Kubernetes

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turbalance

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

turbalance is an AI infrastructure orchestration company that designs, scales, and operates adaptive GPU and accelerator fleets through intelligent lifecycle optimization. It provides a SaaS platform that simulates infrastructure, validates architecture decisions with digital-twin accuracy, automates workload placement and SLA-driven deployment across heterogeneous on-prem, cloud, and hybrid environments, and continuously learns to improve utilization, performance, cost, and sustainability. turbalance targets data center operators, cloud providers, enterprises, hardware suppliers, and system integrators to maximize GPU efficiency and reduce AI infrastructure risk and cost.

📋 Description

• Design, develop, and maintain production-grade Kubernetes Operators using Operator SDK or Kubebuilder • Automate application lifecycle management and infrastructure orchestration • Architect and implement Custom Resource Definitions and controllers to extend the Kubernetes API • Build and optimize custom Kubernetes scheduler plugins for workload placement • Address cost-efficiency, latency reduction, and resource constraints through scheduling strategies • Develop, deploy, and manage DaemonSets for NVIDIA and AMD GPU optimization • Partner with engineering teams to embed custom solutions into Kubernetes • Research Kubernetes ecosystem trends, KEPs, and upstream projects • Prototype innovative solutions for evolving infrastructure challenges

🎯 Requirements

• 3–5 years of experience in software engineering in Go • Good grasp of Kubernetes internals, including controller patterns and reconciliation loops • Experience with Kubernetes API extension via CRDs • Familiarity with custom scheduling logic using Kubernetes scheduler plugins and extension points • Solid understanding of GPU architectures • Knowledge of exposing, managing, and optimizing GPUs in Kubernetes clusters • Ability to collaborate across different teams to embed custom functionality into cluster workflows • Experience with CI/CD pipelines and modern software delivery workflows • Proficiency in Bash and/or Python for basic scripting and automation tasks

🏖️ Benefits

• Competitive compensation with a performance-based incentive • Subsidized Deutschlandticket • Access to a discount portal • Flexible hours • Hybrid and remote-friendly work options • Flat hierarchies and rapid decision-making • Diverse, international team • Well-stocked office near the Heidelberg Hauptbahnhof • Choice of high-quality hardware and equipment • Relocation support • Support for accommodations during the application or interview process