TL;DR We're hiring a Site Reliability Engineer to own and evolve deepset's cloud and customer infrastructure end to end. You'll work across SaaS, private cloud, and on-prem environments to make our self-hosted platform production-ready, drive CI/CD and GitOps maturity, and reduce complexity at scale. Your work will directly shape how deepset's AI platform is built, deployed, and scaled for our own cloud and for customers running it in their own environments. Why deepset At deepset, we’re on a mission to make custom AI solutions accessible to every organization. With Haystack, thousands of developers build advanced LLM applications every day, while our enterprise-ready AI Platform helps companies turn large language models into business value. We’re remote-first, flexible, and built on a culture of trust and ownership. You’ll collaborate with top-tier tech talent, tackle meaningful challenges, and help transform complex AI into solutions that are simple, powerful, and ready for the real world. What you will do You won’t just “keep things running” - you’ll help define how our platform is built, deployed, and scaled across cloud and customer environments. - Build and operate real-world infrastructureDesign, configure, and evolve infrastructure that runs both in our cloud and inside customer environments (SaaS, private cloud, on-prem). - Make self-hosted production-readyHelp us deliver a production-grade, self-hosted platform that can be deployed on any Kubernetes setup in weeks - not months. - Drive automation & platform maturityImprove CI/CD pipelines, GitHub workflows, and GitOps setups so teams can ship faster with confidence. - Reduce complexity and costContinuously simplify systems and optimize infrastructure spend without compromising performance or reliability. - Shape how we buildChampion best practices in reliability, scalability, and security across the organization, not as rules, but as working systems. Requirements - 2-5 years of experience working with large-scale production infrastructure - Fluent German language skills - Experience with distributed or service-oriented architectures - Hands-on expertise with: - AWS - Kubernetes - CI/CD and GitOps (e.g. ArgoCD) - Working knowledge of Infrastructure as Code (Terraform preferred) - Solid troubleshooting skills - you can debug across systems, not just within one layer - A pragmatic mindset: you balance speed, simplicity, and reliability - Ownership and accountability - you take responsibility for systems end-to-end - Ability to work independently while staying aligned with the team’s goals Nice to have - Familiarity with observability stacks (e.g. Datadog, Prometheus) - 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 Benefits - Remote-first setup with flexible hours & tech of your choice - 30 days vacation + extra days for family sick leave - Competitive salary & stock options for every team member - Monthly sports & mental health support allowance with Oliva - Annual learning & development budget - Monthly team socials & in-person meetups - Dog-friendly Berlin HQ

TL;DR We're hiring a Site Reliability Engineer to own and evolve deepset's cloud and customer infrastructure end to end. You'll work across SaaS, private cloud, and on-prem environments to make our self-hosted platform production-ready, drive CI/CD and GitOps maturity, and reduce complexity at scale. Your work will directly shape how deepset's AI platform is built, deployed, and scaled for our own cloud and for customers running it in their own environments. Why deepset At deepset, we’re on a mission to make custom AI solutions accessible to every organization. With Haystack, thousands of developers build advanced LLM applications every day, while our enterprise-ready AI Platform helps companies turn large language models into business value. We’re remote-first, flexible, and built on a culture of trust and ownership. You’ll collaborate with top-tier tech talent, tackle meaningful challenges, and help transform complex AI into solutions that are simple, powerful, and ready for the real world. What you will do You won’t just “keep things running” - you’ll help define how our platform is built, deployed, and scaled across cloud and customer environments. - Build and operate real-world infrastructureDesign, configure, and evolve infrastructure that runs both in our cloud and inside customer environments (SaaS, private cloud, on-prem). - Make self-hosted production-readyHelp us deliver a production-grade, self-hosted platform that can be deployed on any Kubernetes setup in weeks - not months. - Drive automation & platform maturityImprove CI/CD pipelines, GitHub workflows, and GitOps setups so teams can ship faster with confidence. - Reduce complexity and costContinuously simplify systems and optimize infrastructure spend without compromising performance or reliability. - Shape how we buildChampion best practices in reliability, scalability, and security across the organization, not as rules, but as working systems. Requirements - 2-5 years of experience working with large-scale production infrastructure - Fluent German language skills - Experience with distributed or service-oriented architectures - Hands-on expertise with: - AWS - Kubernetes - CI/CD and GitOps (e.g. ArgoCD) - Working knowledge of Infrastructure as Code (Terraform preferred) - Solid troubleshooting skills - you can debug across systems, not just within one layer - A pragmatic mindset: you balance speed, simplicity, and reliability - Ownership and accountability - you take responsibility for systems end-to-end - Ability to work independently while staying aligned with the team’s goals Nice to have - Familiarity with observability stacks (e.g. Datadog, Prometheus) - 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 Benefits - Remote-first setup with flexible hours & tech of your choice - 30 days vacation + extra days for family sick leave - Competitive salary & stock options for every team member - Monthly sports & mental health support allowance with Oliva - Annual learning & development budget - Monthly team socials & in-person meetups - Dog-friendly Berlin HQ

• Design and implement our systems to be efficient, scalable, accountable, and secure • Team up with other Engineers to perform experiments and test new ideas • Build a strong DevOps culture and tooling that enable our delivery teams to be autonomous while providing best practices (security, observability, scalability, performance, etc.) • Deploy and manage our infrastructure provisioning • Develop and drive real time observability solutions that provide visibility into system health • Provide technical guidance and educate team members and coworkers on operations and cloud best practices • Continuously improve development delivery CI/CD • Ability to develop and implement security measures related to the development processes and operational needs driven by our security and compliance team • Build and scale our Kubernetes clusters and workloads • Manage and scale our cloud databases • Participate in a 24x7 on-call rotation

Role Description We are looking for a skilled and collaborative DevOps Engineer to join our Cloud Security and Infrastructure team. As a DevOps Engineer, you will be responsible for building, maintaining, and optimizing cloud-based infrastructure. You will work alongside engineering teams to solve complex operational problems, design solutions, and implement practices that drive efficiency at scale. Reporting into the Engineering Manager, DevOps & Infrastructure, your contributions will be crucial in promoting collaboration between engineering teams to ensure the delivery and management of robust services. - Work closely with Engineering stakeholders to design and maintain a reliable, scalable, and secure platform. - Optimize and enhance deployment tooling and infrastructure, including creating and maintaining new CI/CD pipelines, improving infrastructure for cost-effectiveness and performance. - Collaborate with the Engineering team to identify areas for improvement and implement innovative solutions. - Provide expert DevOps guidance for existing projects and new initiatives. - Set up and maintain test environments for both manual and automated testing. - Conduct vulnerability scans and penetration tests, analyzing results and acting on findings. - Plan and execute ongoing routine application maintenance tasks. - Participate in on-call rotations for monitoring, alerting, and incident response. - Identify cost-saving opportunities and efficiency improvements within our infrastructure. Qualifications - 3+ years of experience in DevOps, Site Reliability Engineering, or automation engineering. - Strong understanding of cloud technologies, particularly AWS. - Hands-on experience managing systems and services on a cloud platform (AWS). - Solid understanding of database technologies such as MongoDB. - Knowledge of Docker, Kubernetes, and Linux Systems. - Proficiency with Terraform and Packer for infrastructure as code. - Experience deploying and managing cloud services, monitoring and alerting systems, and handling critical issues. - Agile development experience and familiarity with CI/CD practices. - Strong attention to detail, problem-solving, and troubleshooting skills. - Exceptional organizational skills and the ability to manage multiple projects concurrently. - Ability to work independently and thrive in an autonomous environment with minimal supervision. - Excellent communication and collaboration skills. - A passion for continuous learning and technical curiosity. Requirements - AWS DevOps Engineer certification. - Experience with cloud-based security protocols. Benefits - We’re a remote-first company built on trust, autonomy, and accountability. - Minimum of 3 weeks vacation, 5 sick days, and 6 personal/flex days, plus a company-wide winter holiday shutdown. - Health, dental, and vision, long-term disability, and a Health Spending Account (HSA). - Flexible parental leave benefits, including top-ups. - A dedicated work-from-home allowance to get you set up for success.