Staff Software Engineer - Grafana Databases, Managed Services
G
Grafana LabsCloud Software
Republic of Ireland (Remote), Ireland time zones onlyFull-TimeStaff
Salary104000 - 124800 EUR per year
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Job Details
- Experience
- 8+ years of engineering experience
- Required Skills
- AWSGCPKafkaKubernetesSnowflakeAzureCassandraClickhouseGoPostgresLinuxTerraformHelmDistributed SystemsNetworking
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!)
Responsibilities
- 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.
- Help define and evolve the technical direction for operating WarpStream and adjacent shared database systems at scale
- Lead complex initiatives such as migrations, rollout improvements, and reliability investments
- Establish best practices around SLOs, scaling limits, failure isolation, and change safety
- Investigate and drive resolution of multi-layer incidents spanning storage, compute, networking, and control-plane dependencies
- Identify systemic risks across 100+ clusters and contribute architectural improvements that reduce recurring issues
- Improve systems toil and operational ergonomics with automation
- Partner with database and platform teams to align on strategy and long-term scalability
- Mentor and support engineers as the team matures
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