Senior Systems Engineer

Role overview Build and operate cloud platforms and internal tools that help product engineering teams deliver services reliably and independently. This senior systems engineering role combines platform development with operational support, security, observability and cost management across cloud, Kubernetes, streaming and data infrastructure. You will also help strengthen engineering practices through technical guidance, incident learning and close collaboration with service teams.

Responsibilities - Design and run an internal developer platform spanning Kubernetes, networking, identity, CI/CD and GitOps. - Maintain cloud reliability, security and compliance through controls for logging, vulnerabilities, secrets, hardening, backups and recovery. - Take part in on-call rotations, lead incident response, investigate root causes and document blameless postmortems. - Operate and evolve streaming and database systems, including migrations, upgrades and removal of legacy components. - Own observability practices, define SLIs and SLOs with service teams, and address monitoring scale issues such as high metric cardinality. - Improve self-service and reduce operational toil through reusable workflows, automation, runbooks and platform tools. - Guide engineering practices, share knowledge and communicate platform priorities and trade-offs to stakeholders.

Requirements - At least four years in SRE, DevOps, platform or cloud engineering, ideally supporting high-traffic products. - Production Kubernetes experience, preferably with GKE, including upgrades, autoscaling, node pools and workload identity. - Strong infrastructure-as-code skills, particularly Terraform, and experience with GitOps and CI/CD pipelines. - Hands-on cloud experience with GCP or an equivalent provider, including networking, IAM, Kubernetes and cloud storage or databases. - Experience with incident management and on-call work, including root-cause analysis and postmortems. - Programming or scripting skills in Python, Go or a similar language for automation and internal tools. - Clear communication, stakeholder focus and the ability to manage multiple priorities.

Nice to have - Prometheus-compatible monitoring, Grafana, alerting and SLI/SLO practices. - Kafka or Redpanda, stateful systems such as MongoDB or Redis, or Cloudflare. - Cloud security and compliance frameworks, FinOps, capacity planning or internal developer platform practices. - Experience building or operating LLM-based agents, automation or MCP integrations.

Benefits and work setup - Remote or hybrid work; remote contracts are available in Spain, Italy, the UK, Belgium, the Netherlands, France and Germany. - Learning resources and optional language classes, plus team activities and offsites. - Home office setup budget, paid trips to the team’s Madrid hub and a supplied MacBook Pro M3.