Staff Backend Engineer for AI-Driven Context Layer SaaS

Staff Backend Engineer for AI-Driven Context Layer SaaS

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Embedded Shishya

At a Glance

  • Tasks: Design and build APIs for an AI-driven context layer in a remote role.
  • Company: Join Grafana Labs, a leader in open observability cloud solutions.
  • Benefits: Enjoy remote work flexibility, competitive salary, and a collaborative global team.
  • Other info: Be part of a dynamic team with opportunities for growth and impact.
  • Why this job: Shape the future of AI technology while working on innovative projects.
  • Qualifications: Experience in backend engineering and a passion for building reliable services.

The predicted salary is between 60000 - 80000 Β£ per year.

Grafana Labs, the company behind the open observability cloud, is seeking a Staff-level Backend Engineer to build production services for an AI-native context layer.

This remote role offers autonomy, collaboration across a global team, and the opportunity to shape foundational architecture.

You will design ingestion, storage, and retrieval APIs, enable multi-tenant Saa S, and build agent integrations while focusing on reliability and observability.

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Staff Backend Engineer for AI-Driven Context Layer SaaS employer: Embedded Shishya

Grafana Labs is an exceptional employer, offering a fully remote work environment that fosters collaboration among a diverse global team. With a strong emphasis on innovation and developer productivity, employees benefit from modern tools and a culture that values autonomy and career growth. The company prioritises work-life balance with generous leave policies and a commitment to transparency and inclusivity, making it a rewarding place for passionate individuals to thrive.

Embedded Shishya

Contact Details:

Embedded Shishya Recruitment Team

We think you need these skills to ace Staff Backend Engineer for AI-Driven Context Layer SaaS

Backend Engineering
API Design
Multi-Tenant SaaS Architecture
Reliability Engineering
Observability
Ingestion and Storage Solutions
Agent Integrations