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.
Security @ 3
Software Development @ 4
Grafana @ 4
MySQL @ 4
TypeScript @ 4
Datadog @ 4
Leadership @ 4
Azure @ 4
Communication @ 7
React @ 4
Debugging @ 4
API @ 4
Technical Leadership @ 4
Sentry @ 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 a remote-first, open-source company used by millions worldwide. The Session Replay squad is building a new Grafana Cloud product that connects frontend signals (errors, performance, synthetic checks) to session-level evidence to speed investigation of production issues. The role is remote; candidates should be located in the United States or Canada and work in the EST or CT timezones.
Responsibilities
- Own end-to-end technical direction for Session Replay spanning frontend, backend, and data systems.
- Drive the evolution of backend architecture, including designing systems around columnar/analytical data storage for large-scale session data.
- Define data models, ingestion pipelines, and query patterns for session replay data.
- Lead design of investigation workflows connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud.
- Make high-leverage architectural decisions that impact multiple teams and products.
- Partner with other Grafana teams (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences.
- Improve engineering standards, patterns, and operational practices within the team.
- Mentor engineers and help grow technical leadership within the team.
Technologies you'll work with
- Go (backend services and APIs)
- Columnar/analytical data storage (core data storage and querying)
- Object storage (S3, GCS, Azure Blob Storage) and MySQL
- TypeScript and React (user-facing workflows)
- Grafana ecosystem: Mimir, Loki, Tempo, etc.
Requirements / What Makes You a Great Fit
- Comfortable working in a remote-first company with strong written and spoken English communication.
- Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs).
- Comfortable owning features in ambiguous problem spaces and working independently on a small remote team.
- Understanding of user-centered software development processes and building solutions that deliver user value.
- Value code maintainability, readability, and automation; enjoy working on complex solutions used at scale.
Bonus / Nice-to-have
- Experience with columnar/analytical databases.
- Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
- Experience building debugging or developer-focused tools.
- Familiarity with privacy, security, and access control in data-heavy systems.
- Experience with performance-sensitive systems (large datasets, real-time queries, session data).
Compensation & Rewards
- United States base compensation range: USD 174,986 - USD 218,733 (country-specific; actual compensation may vary by level, experience, and skills). Benefits include equity, possible bonus, and other benefits listed by Grafana Labs.
Additional information
- In-person onboarding is provided. Grafana Labs is an equal opportunity employer and may utilize AI tools in its recruitment process.