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.

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 (this is important!).

Benefits

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success.
We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
30 days annual leave.
3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

KubernetesGoLinuxTerraformHelmJsonnetKafkaPostgresClickHouseCassandra

Soft Skills

clear communicatorcollaborationinfluence technical directionautonomous workintellectual curiositytransparencyaction-orientedkindness