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 only configured 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 (Ontario)
🏢 Jobtailor
📍 Ontario