At a Glance
- Tasks: Own and build core systems for turning production alerts into actionable insights.
- Company: Join Tracer, a pioneering startup revolutionising AI for production data pipelines.
- Benefits: Competitive salary, equity ownership, 30 days leave, and team socials.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 5+ years of software engineering experience with strong backend skills.
- Other info: Be part of a small, dynamic team with excellent growth opportunities.
The predicted salary is between 150000 - 220000 £ per year.
About Us
Tracer is an early-stage, venture-backed startup building autonomous AI agents for production data pipelines. 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
Tracer is building agentic alert investigation for production data pipelines. We’re hiring a Founding Senior Backend Engineer in London to own and build the core systems that turn production alerts into grounded RCAs and fix suggestions for a small set of high-value alerts. This role combines backend systems with product engineering and customer problems, with the goal of turning real production pain into reliable, production-grade systems engineers trust and use.
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)
- Next.js + TypeScript (because front-end should be sexy too)
What You’ll Do
You’ll own the core systems that turn an alert into a defensible investigation and RCA. In practice, you will:
- Architect and build the core alert, investigation, root cause analysis (RCA) pipeline in Python
- Design and implement key systems including:
- Alert ingestion + normalization
- Context enrichment + correlation
- Problem framing outputs
- Hypothesis orchestration engine
- Investigation execution runtime
- Investigation artifacts + reporting
What We’re Looking For
- 5+ years (ideally 10+) professional software engineering experience.
- Proven track record of shipping real products at high velocity.
- Strong backend and distributed-systems foundations, ideally with experience in data platforms and production pipeline stacks and incident/observability tooling.
- Experience working at an early-stage startup and bonus points for having joined earlier.
- High ownership and sharp product instincts: you build what matters and cut what doesn’t.
Compensation & Benefits
Total Compensation Range: £150,000 – £220,000+ (salary and equity value). 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 (equity typically ~0.3% – 2%+)
- 30 days annual leave
- Employee health insurance
- Visa sponsorship
- Weekly team dinners and socials
- Regular team offsites and trips (our most recent was Kenya)
- The satisfaction of building a world-class AI-powered product with an exceptional team
Application Requirements (Read Carefully)
We are intentionally selective. Please answer all of the following in your application. Applications that do not include these will not be reviewed.
- Why do you consider yourself an exceptional engineer? (Be specific, we’re interested in evidence, not adjectives.)
- Why Tracer? What about this problem, product, or moment resonates with you?
- Links we should see: GitHub, Portfolio, blog posts, talks, or anything else that shows how you think and build.
Our Recruitment Process
- Introductory Call (15-30 mins): Call with our hiring manager to discuss your background, motivations, and learn more about Tracer
- Role Fit Interview (45 mins): Meet with your manager or a similar-level team member 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
Founding Senior Backend Engineer in City of London employer: Tracer Cloud Inc
Contact Detail:
Tracer Cloud Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Senior Backend Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those who might know someone at Tracer. A personal connection can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your best work, especially projects related to backend systems and data pipelines. This will help us see your expertise in action.
✨Tip Number 3
Be ready for the interview! Research Tracer’s tech stack and think about how your experience aligns with our needs. We love candidates who can discuss how they would tackle real-world problems we face.
✨Tip Number 4
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 our team at Tracer.
We think you need these skills to ace Founding Senior Backend Engineer in City of London
Some tips for your application 🫡
Show Your Engineering Superpowers: When answering why you consider yourself an exceptional engineer, be specific! Share concrete examples of your past projects and the impact they had. We want to see your skills in action, not just hear about them.
Connect with Our Mission: In your application, tell us why Tracer excites you. What about our mission to build autonomous AI agents resonates with you? Show us that you understand the problem we're solving and how you can contribute to it.
Share Your Work: Don’t forget to include links to your GitHub, portfolio, or any other work that showcases your engineering prowess. We love seeing how you think and build, so make sure we have access to your best stuff!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
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, Rust, and AWS. Be ready to discuss how you've used these tools in past projects and how they can apply to building production-grade systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've turned complex problems into effective solutions. Highlight your experience with incident/observability tooling and how you've tackled real production pain points in previous roles.
✨Demonstrate Ownership and Impact
Be ready to share instances where you've taken ownership of a project or system. Discuss how your contributions led to measurable improvements, showcasing your high ownership mentality and product instincts.
✨Engage with the Founders' Vision
Research Tracer's mission and the challenges they aim to solve. During the interview, express why you resonate with their vision and how you can contribute to building AI-powered products that make a difference.