Requirements:

8+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
Experience with high-throughput streaming systems, analytical or storage backends, or large-scale database infrastructure. Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
Experience leading or driving complex technical efforts, even without formal management responsibilities.
Ability to influence technical direction and align teams around reliability improvements.
Strong understanding of distributed systems failure modes in multi-cloud environments.
Proficiency in at least one systems-oriented language (Go preferred, but not required).
Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
Experience participating in blameless incident response and writing high-quality post-incident reviews.
Clear communicator who can collaborate across teams and work autonomously.
Intellectually curious, transparent, action-oriented, and kind.

What You'll Be Doing:

Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
Designing safe upgrade and rollout strategies at scale
Improving observability, automation, and operational ergonomics
Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
Serving as a primary escalation point and on-call for relevant incidents
Owning the relationship with all system vendors, including WarpStream Labs and others

Regular 1:1s with your manager and close collaboration with teammates across regions, helping shape how the team operates and matures
Defining and evolving SLO strategy for shared database infrastructure, identifying systemic reliability gaps and driving long-term error budget improvements
Setting standards for diagnosability across core streaming and database systems in production
Leading complex initiatives across high-throughput, multi-cloud infrastructure
Designing and promoting fault-tolerant architectural patterns that address distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
Defining rollout, migration, and upgrade safety practices used across dozens of production clusters
Partnering with database and platform engineering leaders to influence architecture decisions, roadmap prioritization, and long-term scalability strategy
Leading design discussions and reviewing PRs with a focus on reducing operational risk and increasing system resilience
Raising the bar for practices across teams by mentoring engineers and sharing distributed systems knowledge
Playing a key role in high-impact incident response, guiding investigation, driving root cause analysis, and ensuring durable remediation through strong post-incident reviews

Base compensation range in Spain: EUR 94,025 - EUR 112,830
Restricted Stock Units (RSUs) for every team member
Equity, bonus, and other benefits
Global annual leave policy of 30 days per annum with 3 days reserved for Grafana Shutdown Days
AI coding assistants for daily workflow
Access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro)