Used Tools & Technologies
GenAIRequired 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.
Docker @ 4
Grafana @ 4
Kubernetes @ 4
DevOps @ 4
Terraform @ 4
GCP @ 4
AWS @ 4
Azure @ 4
Experimentation @ 4
LLM @ 4
Codex @ 4
Observability @ 4
Generative AI @ 4
AI @ 4
Prompt Engineering @ 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 a remote-first, open-source company building observability tools used around the globe. The Grafana AI teams help users make sense of complex observability data through AI-driven features that reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments.
This is a remote opportunity for applicants located in USA time zones only.
Responsibilities
- Build and deliver AI solutions: take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.
- Rapid experimentation and iteration: quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks.
- Collaborate cross-functionally: work with data analysts, product managers, and designers to shape AI-driven product features and integrate agentic components with internal tools, alerting systems, runbooks, and developer workflows.
- Utilize AI tools effectively: use AI and automation tools to enhance product functionality and development workflows.
- Communicate effectively across a dynamic, collaborative environment.
- Take full ownership of the AI solutions you develop, ensuring they are scalable, maintainable, and aligned with real user workflows.
Requirements
- Experience with LLMs, prompt engineering, and building applications powered by generative AI.
- Proven track record of delivering software into production (backend and/or full stack).
- Exposure to cloud-native environments (e.g., AWS, GCP, Azure).
- Experience using observability tools to understand and troubleshoot system behavior.
- Strong engineering skills, a quick iteration mindset, and a focus on shipping and scaling impactful features.
Bonus Points For
- Experience building or working with agent frameworks or multi-agent workflows.
- Experience with infrastructure / DevOps tooling: Kubernetes, Docker, Terraform or similar for deployments.
- Familiarity with model fine-tuning techniques.
- Experience building observability tooling.
Compensation & Rewards
- Base compensation range in the United States: USD 154,445 - USD 185,334 (actual compensation may vary based on level, experience, and skillset).
- Roles include Restricted Stock Units (RSUs) and other benefits; additional benefits and country-specific compensation ranges are discussed with recruiters.
Why You’ll Thrive at Grafana Labs
- Remote-first culture with global collaboration and autonomy.
- Access to modern AI coding assistants and frontier models (examples referenced: GPT-Codex, Claude Opus, Gemini) as part of developer productivity tooling.
- In-person onboarding and a defined career growth path, plus company benefits like shared equity and generous annual leave policies.
Additional Information
- Grafana Labs is an equal opportunity employer.
- The recruitment process may utilize AI tools to assist in matching CVs, with manual review by the recruitment team.