Senior Infrastructure Engineer

stream; Netherlands; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Stream powers real-time Chat, Video, Activity Feeds, and AI Moderation for billions of end-users across apps. The Senior Infrastructure Engineer role is based in Amsterdam, with options for Toronto or EU remote work, and hybrid policy requiring three days in the Amsterdam office.

You will lead Kubernetes migrations, cost optimization, and the AWS-to-GCP transition, while owning production Go/Python code and driving performance improvements at scale.

Qualifications

• 5+ years in infrastructure, platform, DevOps, or SRE engineering with deep infra experience.
• Production coding experience in Go or Python; scripting-only backgrounds not a fit.

Responsibilities

• Design, build, and operate infrastructure for high-scale real-time systems with millions of connections and billions of API requests.
• Drive Kubernetes work end-to-end: cluster architecture, workload design, migration of services.

Skills

Go

Python

Kubernetes

Cloud cost optimization

Production systems

Tools

GCP

Terraform

Prometheus

Grafana

ELK

Job description

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.

What will you work on

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.

• 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.

About You

• 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.

Bonus points

• Experience across both AWS and GCP; cloud migration experience between providers is a strong plus.


• Large‑scale PostgreSQL knowledge: sharding, replication strategy, or partitioning tradeoffs, ideally self‑hosted.


• 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.

Our tech stack

• Go, gRPC, RocksDB, Python


• PostgreSQL, RabbitMQ


• GCP, Puppet


• Grafana, Graphite, ELK, Jaeger


• Redis, Memcached


• Claude Code, Cursor

Why join Stream?

History of success. From Amsterdam to Boulder and Techstars in‑between, Stream has raised over $58.25M to build the best Chat Messaging & Activity Feed infrastructure available, with best‑in‑class support.

Freedom and endless growth opportunities. 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.

Be on the front line of progress and innovation. While working with cutting‑edge technology, we are passionate about tackling difficult tech problems at scale and creating reusable components for them, empowering engineering teams to ship apps faster, more securely, and with a better user experience.

They believe in us: Stream is ba