Insurance👥 11 employees📍 San Francisco, California, USEst. 2022
Stream's revolutionizes the $50B workers' compensation industry through AI-powered solutions that reduce time, cost, and error in medical document management. Our products, built by former claims adj…
📋 Job Overview
Application Stream powers real-time Chat, Video, Activity Feeds, and AI Moderation for billions of end-users across thousands of apps, processing billions of API requests per month. This is a full-time job opening based in Amsterdam, Toronto or remote in Europe/EU. Hybrid policy: applicants based in the Netherlands or relocating here are expected to work in the office in Amsterdam 3 times per week. Exemptions may apply to specific cases. Relocation and visa sponsorship is possible.
🏢 About Stream
Stream has raised over $58.25M to build the best Chat Messaging & Activity Feed infrastructure available, with best-in-class support. As a rapidly growing startup (since 2020 we have gone from 30 to 150 employees), Stream gives you unique personal and professional growth opportunities. The opportunity of true ownership and accountability has a massive impact on your career. These are the things you can rarely experience in huge corporations.
🎯 The Role
As a Senior Infrastructure Engineer, you join a small, senior platform team during a period of significant change: an AWS to GCP migration, a move to Kubernetes, and the relocation of 35-40 Postgres shards from managed RDS to self-hosted. This is a hands-on role: you will write code most of the time, own infrastructure decisions independently, and work without the support structures of a large organisation. Success looks like systems that scale predictably under load, cloud spend that falls per unit of traffic, and migrations that land without incident.
✅ Key Responsibilities
Design, build, and operate infrastructure for high-scale real-time systems handling millions of concurrent connections and billions of monthly API requests.
Drive Kubernetes work end-to-end: cluster architecture, workload design, and migration of existing services, rather than operating clusters someone else designed.
Contribute to the AWS-to-GCP migration, including re-architecting workloads for cost and performance rather than lifting and shifting.
Own cost and efficiency optimisation across cloud infrastructure, identifying levers and measuring outcomes against real spend and utilisation data.
Write production Go and Python: internal services, platform tooling, and automation that improve how product and SDK engineers deploy, observe, and debug.
Lead post-migration tuning and capacity planning, closing the loop between architectural decisions and production behaviour.
Partner with backend, video, and moderation engineers on system design, reliability targets, and tradeoffs that span service boundaries.
Participate in on-call, incident response, and root cause analysis, turning findings into durable fixes rather than one-off patches.
📌 Required Qualifications
5+ years in infrastructure, platform, DevOps, or SRE engineering, with clear depth in infrastructure over application development.
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 experience at a meaningful production scale that goes beyond operations: you have driven cluster strategy, designed workloads, or led a migration.
Demonstrated cloud cost or efficiency optimisation at scale, on AWS or GCP
Direct experience running high-scale, high-load production systems.
Strong cloud fundamentals of networking, compute, storage, IAM and the habit of asking why a system behaves as it does rather than accepting defaults.
Hands-on in a small team: comfortable leading a project and reviewing a PR in the same week, without large-org support structures.
Active use of AI tooling in your engineering workflow: applied adoption, not familiarity.
⭐ Desirable Experience
Experience across both AWS and GCP; cloud migration experience between providers is a strong plus.
Background with real-time systems — WebSockets, WebRTC, streaming, or persistent-connection workloads.
Familiarity with the wider stack: CockroachDB, Redis, Terraform, and a Prometheus-based observability stack.
Prior experience at an API-first or infrastructure-enabling scaleup.
🎁 Benefits
A team of exceptional engineers The chance to work on OSS projects 28 days paid time off plus paid Dutch holidays Company equity A pension scheme Hybrid work flexibility (3 days in-office) A Learning and Development budget Commute coverage: NS business card or a company bike Fitness stipend Bi-weekly in-office chair massages by a professional MacBook Pro and peripherals provided Healthy catered team lunches and plenty of snacks A generous relocation
