Senior Platform Engineer (AWS)

Responsibilities

• You’ll work at the intersection of Platform Engineering, SRE, Developer Experience, and AI Enablement—building the infrastructure, tooling, and guardrails that power a global SaaS platform
• Build and Evolve Our Platform:
  • Design, build, and operate the cloud‑native platform that supports our engineering organization
  • Create reusable platform services, self‑service capabilities, and infrastructure standards that help product teams deliver software faster and more reliably
• Elevate Developer Experience:
  • Reduce friction across the software development lifecycle
  • Build and improve CI/CD pipelines, internal tooling, automation, and developer workflows that increase productivity and accelerate delivery
  • Partner with engineering teams to continuously improve the developer experience
• Drive Reliability & Observability:
  • Improve the reliability and performance of our systems
  • Define and maintain SLAs, SLOs, and observability standards using metrics, logs, tracing, and monitoring
  • Support incident response, root‑cause analysis, and continuous platform improvements
• Enable AI‑Native Engineering:
  • Help shape the next generation of developer platforms
  • Build infrastructure and workflows that support:
    • AI coding assistants such as GitHub Copilot, Cursor, and future AI development tools
    • Agentic AI infrastructure including MCP servers, tool‑calling backends, and secure execution environments
    • AI workload observability including LLM tracing, latency, usage, and cost monitoring
    • Safe AI deployment workflows with model versioning, experimentation, rollbacks, and policy‑driven guardrails
• Champion Security & Platform Excellence:
  • Embed security, compliance, and Infrastructure‑as‑Code best practices into engineering workflows
  • Design scalable AWS architectures and automation that keep our platform secure, reliable, and ready for growth
• Lead Through Influence:
  • Share knowledge, mentor engineers, and drive cross‑functional platform initiatives
  • Help establish engineering best practices and foster a culture of continuous improvement

Benefits

• Unlimited paid holiday and sick leave
• Development & learning opportunities through regular check‑ins with your team lead, team exchanges and development reviews
• Education budget, that allows you to grow professionally and explore new ideas
• Subsidised fitness membership through Classpass
• Urban Sport Club membership discount, to keep active even in these isolated times
• Remote work – you can work from home or from our dog‑friendly office in Berlin (for this position, Spain + Portugal is also an option)
• SpendIt Card – with a monthly sum to spend on groceries or whatever you like (after your probation period)
• We’ll provide you with all the relevant work equipment you need to work from the office or your home office
• Yearly team holidays at an awesome location (after a successful business year)
• Learning budget for regular trainings and coaching, book‑ & online course‑budget of at least 500 €

Qualifications

• Experience building and operating production systems in AWS
• Strong infrastructure‑as‑code and automation background
• 5+ years in Platform Engineering, SRE, Developer Experience, or a similar field
• Experience with MCP (Model Context Protocol)
• Collaborative partner: you enjoy working across teams, building alignment, and enabling others to succeed
• Experience building internal developer platforms (IDPs)
• Cloud & platform technologies: AWS, Kubernetes, Terraform, Helm, and modern cloud‑native infrastructure patterns
• Humble expert: you bring expertise, curiosity, and a willingness to learn from others
• Developer enablement: you enjoy building tools and platforms that help other engineers be more productive
• Incremental builder: you prefer iterative improvements, automation, and sustainable scaling over big‑bang solutions
• Platform‑as‑a‑product mindset: you think of internal platforms as products and care deeply about the developer experience
• Architecture & systems thinking: you understand distributed systems, event‑driven architectures, authentication and authorization models, infrastructure automation, and modern deployment strategies
• Observability & reliability: you know how to design systems that are observable, measurable, and resilient using tools such as OpenTelemetry, Prometheus, and Grafana
• Experience in high‑growth SaaS environments
• Experience supporting AI/ML workloads in production
• Experience with AI‑assisted software development

Research shows that candidates from underrepresented backgrounds may refrain from applying for positions if they feel they don’t meet all qualifications. We strongly encourage you to apply if you’re interested: we’re excited to discover how your distinctive experience can enhance our team!