Why This Job is Featured on The SaaS Jobs
This Senior Backend Engineer role sits at the infrastructure layer that many SaaS businesses depend on: an experimentation platform that enables product teams to measure change safely. The remit spans multi-tenant services, data pipelines, and metrics—core building blocks for SaaS organisations that run continuous product iteration across many teams. The listing also signals a platform being prepared for external customers, which typically raises the bar on reliability, tenancy boundaries, and developer-facing interfaces.
From a SaaS career perspective, the work maps closely to problems that recur across modern B2B software: API and schema evolution, production ownership, and performance work tied to real usage patterns. Experience defining SLOs, managing error budgets, and improving observability translates directly to other SaaS platform and infrastructure roles, particularly where product velocity must coexist with operational discipline. Collaboration with Product, Data Science, and Customer Success further reflects how SaaS platforms mature based on customer signals and operational learnings.
This role is best suited to engineers who prefer end-to-end accountability for backend services, including on-call and post-incident follow-through. It will fit someone who values incremental delivery with safeguards, enjoys written technical alignment, and is motivated by building systems other engineers rely on rather than shipping only end-user features.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Think it, build it, ship it, tweak it - that’s our rhythm.
Spotify’s Confidence team is a startup inside Spotify, building the next‑generation experimentation platform used by hundreds of internal teams - and now being prepared for external customers. You’ll join a small, senior crew of backend, data, and research engineers who care deeply about correctness, performance, and design. We move fast and carefully: ship small, reversible changes with strong safeguards, measure impact, and iterate. We operate multi‑tenant, high‑scale services where reliability and developer experience are first‑class. You’ll build, run, and refine these systems end‑to‑end, partnering with Product, Data Science, and our Customer Success team to turn real‑world signals into product improvements. We keep process light and hold a high bar for ownership and impact.
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What You'll Do- Ship and iterate quickly
- Design, build, and operate high‑throughput, multi‑tenant backend services for assignment, data pipelines, and metrics in the experimentation domain
- Own gRPC/protobuf APIs and data contracts: evolve schemas safely, plan deprecations and migrations, and protect compatibility
- Drive reliability: define SLOs and error budgets, improve p95/p99 latency, reduce alert noise, and lead on‑call incident response and postmortems
- Level‑up observability (tracing/metrics/logging) and performance; profile and optimize for cost and scale in GCP
- Collaborate with the Customer Success team to transform recurring issues into runbooks, tooling, SDK/docs fixes, and productizable improvements
- Contribute primarily on the backend (Java/JVM, gRPC) while collaborating across the stack and with data warehousing integrations
- Write RFCs and drive impact in an asynchronous and distributed team proactively
Who You Are- You are a backend engineer with strong Java/JVM fundamentals and experience building and operating distributed systems at scale.
- You are comfortable owning production: on-call rotations, incident triage, debugging across services, and driving durable fixes.
- You are product-minded and pragmatic, with a bias to ship incrementally under ambiguity.
- You are comfortable with lightweight process, high trust, and clear written alignment.
- You are experienced with API/SDK design (gRPC/protobuf), versioning strategies, and developer-experience trade-offs.
- You are fluent with modern cloud/platform tooling (preferably GCP: GKE, Pub/Sub, managed storage).
- You have excellent written communication and async collaboration skills, and you are comfortable influencing across org boundaries.
- You have an experimentation background, or you show strong interest and ability to learn quickly.
- You may have bonus experience with data warehousing beyond BigQuery, or with experimentation/feature flag vendors.
Where You'll Be- This role is based in London
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
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Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
