Senior Full Stack Engineer - AI-Driven Data & Analytics

Grafana Labs

Spain

Remote

GBP 104,000 - 125,000

Full time

32 hours ago
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Benefits offered by this job

Equity
Bonus (if applicable)
Remote-first culture

Job summary

Grafana Labs, UK remote, is seeking a Senior Full Stack Engineer focused on Databases and Analytics to scale our observability platform. You will own backend and data pipelines, collaborating across product, infra, and AI teams.

You’ll work in a remote-first, global team delivering production-grade software with AI-native data intelligence, and you’ll help ship services used by enterprises at scale.

Qualifications

  • Production-grade software development experience.
  • Experience with AI technologies and real-world applications.
  • Ability to iterate quickly and methodically.
  • Ability to deal with ambiguity and define scope where needed.

Responsibilities

  • Design and ship core backend architecture for context ingestion and retrieval.
  • Build multi-tenant SaaS foundation with isolation, quotas, and audit logs.
  • Develop agent-facing APIs and integrations for context access.
  • Collaborate with product and infra to balance speed and reliability.
  • Instrument services with metrics, logs, traces, and dashboards.
  • Help shape architecture, storage choices, and deployment patterns.
  • Communicate effectively across teams and drive ownership of AI solutions.

Skills

Strong engineering skills
AI experience
Iteration & experimentation
Initiative & ownership
Collaboration
LLMs & GenAI
Cloud-native (AWS/GCP/Azure)
Observability tools

Tools

Looker
Tableau
PowerBI
Snowflake
Databricks

Job description

Grafana Labs, UK remote, is seeking a Senior Full Stack Engineer focused on Databases and Analytics to scale our observability platform. You will own backend and data pipelines, collaborating across product, infra, and AI teams.

You’ll work in a remote-first, global team delivering production-grade software with AI-native data intelligence, and you’ll help ship services used by enterprises at scale.

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