Senior Software Engineer (Infrastructure)

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EUR 70.000 - 95.000
Sei unter den ersten Bewerbenden.
Vor 3 Tagen
Jobbeschreibung

Senior Software Engineer (Infrastructure)

manufactAI Cologne, North Rhine-Westphalia, Germany

Senior Software Engineer (Infrastructure)

manufactAI Cologne, North Rhine-Westphalia, Germany

Direct message the job poster from manufactAI

Shape the Future of Europe's AI Infrastructure with us!

manufactAI is seeking an exceptional Senior Software Engineer (Infrastructure) to drive our enterprise AI solution across multiple deployment environments. As a pioneer in cutting-edge deep tech solutions for LLM fine-tuning and deployment, we're positioned at the forefront of AI innovation, and we need a fullstack developer with infrastructure passion to accelerate our growth.

About manufactAI

We're a young but experienced team revolutionizing how companies work with AI through our advanced development SDK. Our software solution provides a revision-proof, research-based technical approach to fine-tuning and deploying over 10,000 open-source LLMs. By transforming the enterprise AI development process, we enable organizations to harness the full potential of large language models with unprecedented precision and reliability. As Europe's LLM landscape evolves, you'll be instrumental in making our platform deployable everywhere - from cloud SaaS to the most isolated air-gapped environments.

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What You'll Do

  • Design and maintain Kubernetes configurations that work seamlessly across SaaS, private cloud, and on-premises deployments
  • Create comprehensive Helm charts for our AI platform components with flexible configuration options
  • Architect deployment strategies for air-gapped environments with offline package management
  • Build infrastructure solutions that automatically adapt to different resource constraints and security requirements

Platform Optimization & Automation

  • Create automated deployment pipelines that handle everything from SaaS scaling to on-premises installation Optimize resource allocation and performance for AI/ML workloads across different infrastructure scenarios
  • Build monitoring and observability solutions that work in both connected and isolated environments
  • Develop GitOps workflows and infrastructure automation without heavy IaC frameworks

Enterprise Deployment Solutions

  • Design secure, compliant deployment architectures for regulated industries and government clients
  • Create easy-to-use installation packages and documentation for on-premises and air-gapped scenarios
  • Develop backup, disaster recovery, and high-availability solutions across all deployment models
  • Build configuration management systems that handle customer-specific requirements without code changes

Technical Leadership & Fullstack Development

  • Establish best practices for GitOps workflows and infrastructure version control
  • Mentor team members on Kubernetes, containerization, and deployment strategies
  • Collaborate with our React, Python, and AI/ML Developers to optimize their services for multi-environment deployment
  • Contribute to frontend and backend development when the team needs your expertise

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What We're Looking For

We're not looking for a "Kubernetes-only" specialist - we wish for you to be a fullstack developer who loves infrastructure and deployment challenges. We would love for you to be someone who can contribute across our entire platform while bringing deep expertise in making things run reliably everywhere.

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  • 5+ years of software development experience with a strong foundation in multiple technologies
  • Production Kubernetes experience with deep understanding of cluster architecture and operations
  • Expert-level knowledge of Helm charts, including complex templating, dependency management, and multi-environment configurations
  • Experience with GitOps methodologies and infrastructure automation tools
  • Proven track record deploying enterprise software across multiple environments (cloud, on-premises, air-gapped)
  • Experience with air-gapped deployment scenarios including offline package repositories and security considerations
  • Knowledge of enterprise deployment patterns: blue-green deployments, canary releases, and rollback strategies
  • Understanding of compliance requirements (SOC2, GDPR, government security standards) and their infrastructure implications
  • Experience with container registries, image signing, and secure software supply chain practices Cloud & On-Premises Mastery
  • Multi-cloud expertise across AWS, GCP, and Azure with understanding of their managed Kubernetes offerings Experience with on-premises Kubernetes distributions (OpenShift, Rancher, vanilla K8s)
  • Knowledge of networking, storage, and security in both cloud and on-premises environments
  • Understanding of hybrid cloud architectures and edge computing scenarios
  • Experience optimizing Kubernetes for GPU workloads and distributed AI/ML training (nice-to-have)
  • Understanding of resource scheduling and autoscaling for variable AI workloads Familiarity with AI/ML serving patterns and model deployment strategies (nice-to-have)

You're a developer first - someone who can build and understand our entire platform. Your specialty is infrastructure, but you're comfortable jumping into any part of our stack when needed.

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What We Offer

Competitive Package

  • Industry-competitive salary with significant equity upside potential
  • Performance-based compensation structure aligned with company growth
  • Own the complete deployment strategy for Europe's leading AI platform
  • Shape how enterprise AI solutions are delivered across diverse infrastructure environments
  • Build systems that enable AI deployment in the most secure and regulated environments
  • Direct influence on our platform's scalability and reliability architecture

Professional Growth

  • Work with cutting-edge infrastructure technologies and AI/ML deployment patterns
  • Personal development budget for cloud certifications and infrastructure training
  • Opportunity to speak at conferences about multi-environment AI deployment strategies
  • Collaborate with leading AI researchers and enterprise customers on infrastructure challenges

Work-Life Balance

  • Flexible hybrid work culture with state-of-the-art development infrastructure
  • Urban Sports Club membership and comprehensive wellness benefits
  • Young, passionate team committed to both technical excellence and work-life balance
  • Open, collaborative environment where infrastructure expertise drives product success

Ready to Enable AI Everywhere?

Join us in building the infrastructure that makes enterprise AI deployment simple, secure, and scalable - whether in the cloud or the most isolated air-gapped environment.

If you're the kind of developer who wants to understand the whole system - not just your piece of it - we'd love to hear from you.

Tell us about your most challenging multi-environment deployment project and how you solved the infrastructure puzzle!

manufactAI is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.

Apply now and be part of shaping Europe's LLM landscape with us.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Software Development

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