About Us

Tracer is an early-stage, venture-backed startup building the open source AI SRE agent for production engineering (https://github.com/Tracer-Cloud/opensre) that automatically investigates production incidents across the entire production stack.

We are backed by experienced operators and investors who believe AI for production systems will be one of the defining enterprise software categories of the next decade. Our team is small, senior, and highly execution-focused.

About the Role

We are opening up engineering roles to earlier-career engineers who are hungry to work on hard problems. This is a hands-on role where you will contribute directly to the OpenSRE codebase, build integrations used by engineers worldwide, and work closely with the founding team.

If you have shipped real projects, contributed to open source, or built side projects, we want to hear from you.

You’ll Love Our Tech Stack

• Python + LangGraph (for multi-agentic alert investigation)

• Rust (because we like systems that are fast and correct)

• ClickHouse (high-volume event + investigation history at scale)

• AWS + Terraform (infrastructure that builds itself)

What You’ll Do

• Build and maintain integrations connecting OpenSRE to tools like Grafana, Datadog, Kafka, Airflow and more

• Contribute to the core agent: alert ingestion, context enrichment, hypothesis execution, and RCA reporting

• Write tests and synthetic incident simulations for the RL environment

• Review and respond to community pull requests and issues

• Work directly with senior engineers and founders to ship features fast

• Attend engineering conferences globally to connect with fellow engineers and grow awareness of the OpenSRE open source project

What We’re Looking For

• 0-2 years of professional experience, or strong project/extracurricular experience as a graduate

• Comfortable in Python

• Has shipped something real, a side project, open source contribution, university project, or anything you built and put in front of users

• Curious about distributed systems, observability, or AI infrastructure

• Bonus: prior open source contributions or experience with LangGraph, Grafana, Datadog, or cloud infrastructure

Compensation & Benefits

Total Compensation Range: up to £70,000 (incl. equity)

We structure compensation as follows:

• Competitive base salary

• Meaningful equity ownership with real upside

• Final package depends on experience, impact, and seniority

What’s included:

• Salary + equity

• 30 days annual leave

• Employee health insurance

• Visa sponsorship

• Weekly team dinners and socials

• Regular team offsites and trips (our most recent was Kenya )

Our Recruitment Process

• Introductory Call (15-30 mins): Call with our founding team to discuss your background, motivations, and learn more about Tracer

• Role Fit Interview (45 mins): Meet with our lead engineer or technical co-founder to review your working style, skills, and fit for the role

• Take-home & Competency Deep Dive (1 hour): Complete a practical exercise (e.g., case study, presentation, or technical problem-solving) to explore the role's responsibilities and expectations

• On-site meetup (Half Day): On-site interviews and team lunch at our headquarters to ask any questions and experience our office and culture firsthand

• Offer: Final decision and offer