- We are hiring a Senior Software Engineer to help rebuild the platform underneath Stream

- Over the next year the infrastructure team is moving from AWS to GCP, moving onto Kubernetes, and relocating 35 to 40 Postgres shards off managed RDS to self-hosted, while the platform keeps serving billions of API requests a month

- You will own parts of that outright

- This is a small, senior team without the support structures of a large organisation

- You will write code most of the time and make infrastructure calls on your own

- 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 real-time systems carrying millions of concurrent connections and billions of monthly API requests

- Drive Kubernetes end to end: cluster architecture, workload design and the migration of existing services. You will be designing clusters, not operating someone else’s

- Re-architect workloads as part of the AWS to GCP migration, for cost and performance rather than a lift and shift

- Own cloud cost and efficiency work: find the levers, measure them against real spend and utilisation data, and show what moved

- Write production Go and Python: internal services, platform tooling and automation that change how product and SDK engineers deploy, observe and debug

- Lead post-migration tuning and capacity planning, closing the loop between the architecture you chose and what production actually does

- Work with backend, video and moderation engineers on system design, reliability targets and tradeoffs that cross service boundaries

- Take part in on-call, incident response and root cause analysis,



and turn what you find into durable fixes

- —-Our stack—-

- 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

Benefits

- Equipment & Resources: Computers, standing desks, headphones, and other specialized tools are available for you to be successful

- Paid Vacation: Generous time off on top of observing several national holidays

- Stock Options: You get a piece of ownership in Stream. Stock options are granted to all full-time employees

- Health Coverage: We offer comprehensive healthcare, dental, and vision plans, plus generous parental leave (US only)

- Outings and parties: We like to have fun together! Team outings and parties are regular events around here

- Team Lunch and Snacks: Stream provides in-office daily team lunches and a stocked kitchen with tasty snacks and craft coffee

- 401k: Plan for your retirement through the company offered 401k (US only) or the local pension scheme in Amsterdam, to which Stream will make a contribution

- Commuter Benefits: Employees receive free Office parking and transportation advantages

- Monthly fitness stipend: We value the health and well being of our employees- AI tooling already in your engineering workflow. Applied use, not familiarity





- 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

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

- 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

- 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
- 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

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

- Work on developer-facing API or SDK products

- Writing or talks on cloud, platform or distributed systems

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

- Open source contributions to infrastructure or platform tooling
- The wider stack: CockroachDB, Redis, Terraform, and a Prometheus-based observability stack
- An API-first or infrastructure company at scaleup stage

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

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

- Both AWS and GCP, and migration experience between providers

📌 Senior Software Engineer (Infrastructure) (Toronto)
🏢 Stream
📍 Toronto