Senior Site Reliability Engineer / Platform Engineer, SimScale

• 5+ years of professional experience in SRE, platform, or infrastructure engineering
• Software development experience: Your background is rooted in software development, and you moved into SRE from there. You write production-quality software in at least one of Python, Go, Rust, or Java
• Strong systems foundation: You understand Linux internals and distributed systems well enough to debug complex production behavior
• Hands-on cloud and infrastructure experience: AWS (or GCP), declarative infrastructure (Terraform), gitops-workflow (ArgoCD) and container orchestration (Kubernetes)
• Observability and reliability experience: You have worked with OpenTelemetry, Prometheus, distributed tracing, monitoring, and meaningful SLOs/SLIs
• Production debugging depth: You can investigate complex failures, communicate clearly during incidents, and turn findings into durable improvements
• Security and compliance awareness: You understand how infrastructure decisions affect access control, auditability, disaster recovery, logging, and standards such as SOC 2
• Clear communication: You can explain trade-offs to engineering teams and help others adopt better platform practices without unnecessary friction

Desirable

• We are looking for a Senior SRE / Platform Engineer (m/f/d) to own and improve the cloud infrastructure behind SimScale's browser-based simulation platform. The role spans AWS and EKS, observability, disaster recovery, security and compliance controls, multi-region architecture, elastic GPU/HPC capacity, and internal developer tooling
• SimScale's engineering teams run workloads directly on AWS; you will build the standards, guardrails, and self-service tooling that let them do so safely, raising reliability and security without slowing engineering velocity
• You will join a small, tightly knit infrastructure team supporting 50+ engineers across the company. This is a hands-on senior individual contributor role; people management is not required, but there is a genuine path toward tech-lead ownership as the team grows
• Evolve our Kubernetes platform: Evaluate and adopt technologies such as Kubernetes Gateway API and service mesh patterns, and coordinate platform evolution across 10+ engineering teams
• Take observability to the next level: Drive organization-wide adoption of OpenTelemetry for distributed tracing and metrics, and help teams define meaningful SLOs
• Shape multi-region architecture and data residency: Support our move from an EU-centered footprint toward a global, multi-cloud architecture that satisfies disaster-recovery and data-residency requirements
• Own cloud cost and efficiency at scale: Keep petabyte-scale infrastructure cost-efficient, secure, and well-instrumented
• Improve tooling: Build self-service AWS account provisioning, guardrails and AI-assisted automations that help engineering teams manage infrastructure safely and efficiently at scale