Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Go @ 4
Grafana @ 4
Kafka @ 3
Kubernetes @ 4
Prometheus @ 3
IaC @ 4
Python @ 4
Distributed Systems @ 4
Leadership @ 4
Communication @ 7
Rust @ 4
Microservices @ 4
Technical Leadership @ 4
Compliance @ 4
Codex @ 4
Observability @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Grafana Labs is the company behind the open observability cloud and Grafana Cloud, a fully managed observability platform built for scale. The Databases department owns and operates telemetry databases (Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles) and offers them as a Cloud service supporting Grafana Cloud.
This role is part of the Adaptive Telemetry group, responsible for Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles — solutions that help customers control and optimize telemetry data storage and retention. This is a remote position; candidates should be located in USA time zones.
Responsibilities
- Drive technical strategy and roadmap: define architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
- Lead end-to-end delivery of large, cross-functional projects: own planning, design, execution, rollout and long-term operation of large initiatives.
- Own architecture, reliability, performance and cost for critical systems: make pragmatic architecture choices balancing scalability, availability, latency and cost while keeping systems maintainable and evolvable.
- Define SLOs/SLIs and lead incident response: establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation.
- Improve observability, automation and operational readiness: champion telemetry, alerting, runbooks, capacity planning and automation to reduce toil and lower MTTR.
- Align stakeholders and remove blockers: coordinate across Product, Design and other teams to align priorities and negotiate tradeoffs.
- Mentor and grow engineering talent: coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
- Represent engineering internally and externally and communicate technical strategy clearly to non-engineering stakeholders.
The team invests in developer productivity and supports use of modern AI coding assistants (company-funded usage budget). You will have access to frontier models (examples named include GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).
Requirements
- Proven delivery of large distributed systems, with evidence of technical leadership and impact across multiple teams.
- Strong systems-design instincts and deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
- Hands-on cloud and platform experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and operational practices.
- Reliability and performance ownership: experience defining SLOs/SLIs, capacity planning, tuning performance, and driving reliability work end-to-end.
- Excellent coding and design skills: Grafana Labs uses Go, though Python/C/C++/Rust experience is noted as transferable.
- Comfort with AI-assisted development and ideally practical experience integrating AI-powered developer tools into a team workflow.
- Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
- Strong communication skills and ability to influence without authority in a remote-first environment.
Compensation & Rewards
- In the United States, the base compensation range for this role is USD 174,986 - USD 209,983. Actual compensation may vary based on level, experience, and skillset.
- Benefits include equity, bonus (if applicable) and other benefits listed on Grafana's careers page.
Why You’ll Thrive at Grafana Labs
- 100% remote, global culture; remote-first company.
- Scaling organization with transparency, innovation-driven environment, and open-source roots.
- In-person onboarding is provided.
- Global annual leave policy of 30 days per annum (with 3 days reserved for Grafana Shutdown Days), with compliance to local legislation where applicable.
Additional Notes
- The Databases department and Adaptive Telemetry group work with Mimir, Loki, Tempo and Pyroscope and integrate with Grafana Cloud and open-source observability tools.
- Grafana Labs is an equal opportunity employer and may use AI tools in recruitment while continuing manual review of CVs.