Junior Engineer

Junior Engineer

Full-Time 56000 - 70000 € / year (est.) No home office possible
Tracer Cloud Inc

At a Glance

  • Tasks: Build and maintain integrations for OpenSRE, contributing to core agent features.
  • Company: Join Tracer, an innovative startup revolutionising AI for production engineering.
  • Benefits: Competitive salary, equity, 30 days leave, health insurance, and fun team events.
  • Other info: Dynamic environment with opportunities for growth and global engineering connections.
  • Why this job: Work on cutting-edge tech and tackle real-world challenges with a passionate team.
  • Qualifications: 0-2 years experience or strong project work; Python skills required.

The predicted salary is between 56000 - 70000 € per year.

About Us

Tracer is an early‑stage, venture‑backed startup building the open source AI SRE agent for production engineering 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 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

Junior Engineer employer: Tracer Cloud Inc

At Tracer, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Junior Engineer, you'll have the unique opportunity to work closely with experienced professionals in a dynamic startup environment, contributing to cutting-edge open source projects while enjoying benefits like competitive compensation, meaningful equity, and generous annual leave. Our commitment to employee growth is evident through regular team offsites and opportunities to attend global engineering conferences, making Tracer an ideal place for early-career engineers eager to make a significant impact.

Tracer Cloud Inc

Contact Detail:

Tracer Cloud Inc Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Engineer

Tip Number 1

Network like a pro! Reach out to current employees at Tracer on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Show off your projects! Whether it's a side project or an open-source contribution, make sure to highlight what you've built. This is your chance to demonstrate your skills and passion for engineering.

Tip Number 3

Prepare for the technical interview! Brush up on Python and any relevant tools like Grafana or Datadog. Practising coding problems and system design can really help you shine during the role fit interview.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Tracer.

We think you need these skills to ace Junior Engineer

Python
Open Source Contribution
Distributed Systems
Observability
AI Infrastructure
Integration Development
Alert Ingestion

Some tips for your application 🫡

Show Your Passion:When writing your application, let us see your enthusiasm for the role! Share any projects or experiences that highlight your interest in AI, distributed systems, or open source contributions. We love seeing candidates who are genuinely excited about what we do!

Tailor Your CV:Make sure your CV is tailored to the Junior Engineer position. Highlight relevant skills, especially in Python and any experience with tools like Grafana or Datadog. We want to see how your background aligns with our tech stack and the role's responsibilities.

Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your experiences and skills. We appreciate straightforward communication, so don’t be afraid to show us what you can do without fluff!

Apply Through Our Website:We encourage you to apply directly through our website. This helps us keep track of applications and ensures you’re considered for the role. Plus, it’s a great way to get familiar with our platform and what we’re all about!

How to prepare for a job interview at Tracer Cloud Inc

Know Your Tech Stack

Familiarise yourself with the technologies mentioned in the job description, especially Python and any tools like Grafana or Datadog. Being able to discuss your experience with these technologies will show that you're genuinely interested and prepared for the role.

Showcase Your Projects

Be ready to talk about any projects you've worked on, whether they're side projects, open source contributions, or university assignments. Highlight what you built, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.

Ask Insightful Questions

Prepare thoughtful questions about the company culture, the team dynamics, and the specific challenges they face in production engineering. This not only shows your interest but also helps you gauge if the company is the right fit for you.

Practice Problem-Solving

Since the role involves technical problem-solving, practice coding challenges or case studies related to distributed systems or AI infrastructure. This will help you feel more confident during the take-home exercise and competency deep dive.