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
6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). 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.).
Solid understanding of distributed systems design and large-scale system trade-offs.
Proficiency in at least one programming 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.
Curious, pragmatic, action-oriented, and kind (this is important!).
Tech Stack
AWS
Azure
Cassandra
Cloud
Distributed Systems
Google Cloud Platform
Kafka
Kubernetes
Linux
Postgres
Terraform
Go
Benefits
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success.
We operate a global annual leave policy of 30 days per annum.
3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.