Senior Software Engineer (Infrastructure)

Join Stream as a Senior Software Engineer (Infrastructure) and help rebuild the platform underneath Stream. You will be responsible for designing, building, and operating infrastructure for real-time systems, driving Kubernetes end to end, re-architecting workloads for cost and performance, and owning cloud cost and efficiency work. You will write production code in Go and Python, lead post-migration tuning and capacity planning, and work with backend, video, and moderation engineers on system design and reliability targets.

• Contribuer à la reconstruction de la plateforme sous-jacente de Stream, en particulier en ce qui concerne la migration d'AWS vers GCP et l'utilisation de Kubernetes.
• Posséder des parties de l'infrastructure, en écrivant du code et en prenant des décisions d'infrastructure de manière autonome.
• Concevoir, construire et exploiter l'infrastructure pour des systèmes en temps réel, en conduisant Kubernetes de bout en bout et en réarchitecturant les charges de travail.

• 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