(Senior) DevOps Engineer

• Define and own SLOs and SLIs for the platform and manage error budgets against them
• Carry on-call, act as incident commander, and run blameless post-incident reviews that produce real follow-up
• Run production readiness and capacity planning ahead of demand, not after the page fires

Platform & Infrastructure

• Run and harden the Kubernetes platform (Helm, GitOps, service mesh) and the cloud underneath it (Terraform, multi-region)
• Own observability: metrics, logs, and distributed tracing, so problems surface before users feel them

Automation & Efficiency

• Eliminate toil through automation, self-healing systems, and automated remediation
• Drive cost visibility and FinOps practice across cloud and LLM spend, * Flexible Work Models: Full-time position on-site in Stuttgart, Hamburg or Munich (3 days per week) with flexible working hours.
• Benefits: Deutschland-Ticket, Wellpass fitness membership, access to the latest AI tools, and regular company and team off-sites.
• Top Team: International team with exceptional talents.
• High Growth Potential: Steep learning curve in a fast-growing AI startup. A high level of personal responsibility and the freedom to actively shape processes.
• Top Equipment: MacBook, iPhone, headset, and all the tools you need to perform at your best.

Blockbrain is an equal opportunity employer. We celebrate diversity and are committed to an inclusive work environment.

• Professional Experience: 5+ years in DevOps, SRE, or platform engineering, ideally operating production SaaS at scale. Hands-on experience running Kubernetes in production is essential.
• Communication: Clear and calm under pressure. Can coordinate an incident and write a post-mortem others learn from. Works in English; German is a plus.
• Tech Affinity: Treats infrastructure as code and operations as a software discipline. Genuinely enjoys automating manual work away.
• Solution Orientation: Measures success in incidents that did not happen. Fixes root causes, not symptoms.
• Organizational Talent: Plans capacity and reliability work ahead of demand and balances on-call, project work, and toil reduction.
• Education: Degree in computer science or a related field, or equivalent hands-on experience. We care about what you can operate, not the certificate.
• Hard Skills: Kubernetes, Terraform / IaC, CI/CD (e.g. GitHub Actions), observability (Prometheus, Grafana, distributed tracing), a major cloud (AWS, Azure, or GCP), scripting (Python, Go, or TypeScript), secrets management, and policy as code.
• Soft Skills & Mindset: Strong ownership, blameless culture, a bias toward automation, calm in incidents, and a security-by-default mindset.

€80.000 - €120.000 EUR

For mid-sized and enterprise companies in DACH, knowledge is the last real competitive lever. Yet knowledge gets stuck in tools and SharePoint folders - or disappears when experts leave. While IT is still planning, employees are already using ChatGPT and the like - without governance, and sensitive data is leaking out.

With the Knowledge Bots platform, Blockbrain creates what companies truly need: AI-powered knowledge management that is quick to implement, flexibly scales, and operates in a compliant manner. Teams use our GenAI building blocks to build tailored AI assistants, agents, and workflows in minutes - just like Lego.

• Series A funded with strong growth momentum (10x product usage & 5x revenue in 2025)
• Enterprise clients such as Roland Berger, Bosch, IONOS, and Harting from industries including manufacturing, finance, and legal - sectors with the highest security requirements
• ISO 27001 certified, EU AI Act ready. Made in Germany., At Blockbrain, we don’t just talk about AI - we use it every day. In this role, you will:
• Use coding agents to build automation, write infrastructure code, and reason through failure modes faster
• Automate operational toil and incident workflows with AI in the loop
• Collaborate with the product team to give real-world feedback on Blockbrain’s own tools from an operator’s perspective
• Stay curious about emerging AI capabilities and apply them to platform and reliability work

We’re not looking for AI experts - we’re looking for people who are genuinely open to working with AI as a daily co-pilot.