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, including cluster architecture, workload design and migration of existing services Re-architect workloads for the AWS-to-GCP migration for cost and performance Own cloud cost and efficiency work using real spend and utilisation data Write production Go and Python for internal services, platform tooling and automation Lead post-migration tuning and capacity planning Collaborate with backend, video and moderation engineers on system design, reliability targets and cross-service tradeoffs Participate in on-call, incident response and root cause analysis, turning findings into durable fixes Own infrastructure projects end to end on a small senior team Requirements 5+ years in infrastructure, platform, DevOps or SRE engineering, with explicit depth in infrastructure over application development A software engineering background; built systems, not onlyconfigured them Production coding experience in Go or Python; scripting-only backgrounds are not a fit Kubernetes experience at meaningful production scale, including cluster strategy, workload design, migration leadership, and post-migration cost and efficiency tuning Personally led cloud cost or efficiency optimisation on AWS or GCP, with a measurable outcome Direct experience running high-scale, high-load production systems Strong cloud fundamentals across networking, compute, storage and IAM Comfortable leading projects and reviewing PRs in a small team AI tooling already in your engineering workflow; applied use,



not familiarity Both AWS and GCP, migration experience between providers PostgreSQL at scale, including sharding, replication strategy, partitioning tradeoffs, ideally self-hosted Experience with real-time systems such as WebSockets, WebRTC, streaming or persistent-connection workloads Experience with CockroachDB, Redis, Terraform, and a Prometheus-based observability stack Experience at 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 ownership of cloud commitment and reservation strategy Work on developer-facing API or SDK products Core Competencies Demonstrates expertise in designing and operating high-scale infrastructure for real-time systems, with a strong focus on cloud cost optimization and efficiency. Proficient in production coding with Go and Python, and experienced in Kubernetes and cloud migration strategies across AWS and GCP. Highest-signal resume keywords Kubernetes Cluster Architecture Production Coding in Go AWS and GCP Migration Experience Cloud Cost Optimization PostgreSQL at Scale ATS Optimization Keywords Hard Skills Go Programming Python Programming Kubernetes AWS GCP PostgreSQL CockroachDB Redis Terraform Real-Time Systems Soft Skills Project Leadership Collaboration Incident Response Industry Keywords Infrastructure Engineering DevOps SRE Engineering Cloud Fundamentals FinOps Tools & Technologies Prometheus WebSockets WebRTC Streaming Workloads API Development #J-18808-Ljbffr

📌 Senior Software Engineer, Infrastructure (Toronto)
🏢 Jobtailor
📍 Toronto