Senior Software Engineer, Infrastructure

5+ years in infrastructure, platform, DevOps or SRE engineering, with clear depth in infrastructure over application development.

A software engineering background. You have built systems, not only configured them. Production coding experience in Go or Python. Scripting-only backgrounds are not a fit.

Kubernetes at meaningful production scale, past operations: you have driven cluster strategy, designed workloads, or led a migration, and you have tuned what came out the other side for cost and efficiency.

Cloud cost or efficiency optimisation you personally led on AWS or GCP, with an outcome you can put a number on. FinOps practice is a plus.

Direct experience running high-scale, high-load production systems.

Strong cloud fundamentals across networking, compute, storage and IAM, and the habit of asking why a system behaves the way it does instead of accepting the default.

Comfortable in a small team: leading a project and reviewing a PR in the same week.

AI tooling already in your engineering workflow. Applied use, not familiarity.

Both AWS and GCP, and migration experience between providers.

PostgreSQL at scale: sharding, replication strategy, partitioning tradeoffs, ideally self-hosted.

Real-time systems: WebSockets, WebRTC, streaming or other persistent-connection workloads.

The wider stack: CockroachDB, Redis, Terraform, and a Prometheus-based observability stack.

An API-first or infrastructure company at scaleup stage.

Open source contributions to infrastructure or platform tooling.

Writing or talks on cloud, platform or distributed systems.

Formal FinOps practice, or owning cloud commitment and reservation strategy.

Work on developer-facing API or SDK products.

Go, gRPC, RocksDB, Python

PostgreSQL, RabbitMQ

GCP

Grafana, Prometheus, ELK (Elasticsearch and Kibana)

Jaeger and Tempo for distributed tracing, Datadog

Redis, Memcached

Claude Code, Cursor

You want infrastructure problems at a scale most engineers never touch, and the autonomy to own them.

You ship fast and learn fast, including when it is hectic.

You are self-directed and comfortable working with a globally distributed team across time zones.

You want tightly scoped tickets and step-by-step direction.

You need a calm, highly predictable environment.

You would rather wait for a defined process than act.

We're a Series B company with global presence and a team of around 145 people from more than 35 countries.

We're backed by Felicis Ventures, GGV Capital, 01 Advisors, Techstars, and Arthur Ventures, with angels including Dick Costolo (ex-CEO of Twitter), Olivier Pomel (CEO of Datadog), Tom Preston-Werner (co-founder of GitHub), and Nicolas Dessaigne (co-founder of Algolia).

We'll be straight with you: a startup is more demanding than a large company. There's no fixed playbook, you'll own things end to end, and you'll sometimes pick up work outside your title. That's also what makes it a fast place to grow. If you want real ownership and high scale more than structure and a set career ladder, you'll feel at home here.

Hybrid office policy: applicants based (or relocating to) one of our office locations are expected to work according to the applicable local office attendance policy.

Equal opportunity employer statement: Stream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Note for external recruiters: We currently have this role covered and do not accept unsolicited agency resumes. We are not responsible for any fees related to unsolicited resumes.