IONOS SE
Site Reliability Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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DEdeepset GmbH
Site Reliability Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Operating and evolving cloud/on-prem infrastructure for custom AI solutions on Kubernetes. 2-5 years large-scale production infrastructure experience required. Remote-first setup, 30 days vacation.
Requirements
- 2-5 years of experience with large-scale production infrastructure
- Experience with distributed or service-oriented architectures
- Working knowledge of Infrastructure as Code (Terraform preferred)
- Solid troubleshooting skills across systems
- Pragmatic mindset balancing speed, simplicity, and reliability
- Ownership and accountability for systems end-to-end
- Ability to work independently while aligned with team goals
- Experience optimizing cloud costs at scale
- Interest or experience in Machine Learning / LLM systems
- Experience improving developer experience and platform tooling using AI agents
- Contributions to SRE practices like postmortems, SLIs/SLOs, and reliability engineering culture
Tasks
- Build and operate real-world infrastructure
- Design, configure, and evolve cloud and on-prem environments
- Make self-hosted platform production-ready
- Deliver platform deployable on any Kubernetes setup
- Improve CI/CD pipelines and GitOps setups
- Optimize GitHub workflows for faster, reliable deployments
- Simplify systems and reduce infrastructure costs
- Maintain performance and reliability during optimization
- Champion reliability, scalability, and security best practices
- Implement best practices as working systems
Work Experience
- 2 - 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
Tools & Technologies
- AWS
- Kubernetes
- ArgoCD
- Terraform
- Datadog
- Prometheus
Benefits
Competitive Pay
- Stock options
Flexible Working
- Remote-first setup
- Flexible hours
Modern Equipment
- Choice of tech
More Vacation Days
- 30 days vacation
Family Support
- Family sick leave
Additional Allowances
- Monthly sports allowance
Mental Health Support
- Mental health support allowance
Learning & Development
- Annual learning & development budget
Team Events
- Monthly team socials
- In-person meetups
Informal Culture
- Dog-friendly HQ
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of deepset GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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DEdeepset GmbH
Site Reliability Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Operating and evolving cloud/on-prem infrastructure for custom AI solutions on Kubernetes. 2-5 years large-scale production infrastructure experience required. Remote-first setup, 30 days vacation.
Requirements
- 2-5 years of experience with large-scale production infrastructure
- Experience with distributed or service-oriented architectures
- Working knowledge of Infrastructure as Code (Terraform preferred)
- Solid troubleshooting skills across systems
- Pragmatic mindset balancing speed, simplicity, and reliability
- Ownership and accountability for systems end-to-end
- Ability to work independently while aligned with team goals
- Experience optimizing cloud costs at scale
- Interest or experience in Machine Learning / LLM systems
- Experience improving developer experience and platform tooling using AI agents
- Contributions to SRE practices like postmortems, SLIs/SLOs, and reliability engineering culture
Tasks
- Build and operate real-world infrastructure
- Design, configure, and evolve cloud and on-prem environments
- Make self-hosted platform production-ready
- Deliver platform deployable on any Kubernetes setup
- Improve CI/CD pipelines and GitOps setups
- Optimize GitHub workflows for faster, reliable deployments
- Simplify systems and reduce infrastructure costs
- Maintain performance and reliability during optimization
- Champion reliability, scalability, and security best practices
- Implement best practices as working systems
Work Experience
- 2 - 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
Tools & Technologies
- AWS
- Kubernetes
- ArgoCD
- Terraform
- Datadog
- Prometheus
Benefits
Competitive Pay
- Stock options
Flexible Working
- Remote-first setup
- Flexible hours
Modern Equipment
- Choice of tech
More Vacation Days
- 30 days vacation
Family Support
- Family sick leave
Additional Allowances
- Monthly sports allowance
Mental Health Support
- Mental health support allowance
Learning & Development
- Annual learning & development budget
Team Events
- Monthly team socials
- In-person meetups
Informal Culture
- Dog-friendly HQ
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of deepset GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
deepset GmbH
Industry
IT
Description
The company is an AI startup that empowers developers to build applications using natural language as the interface to data.
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