Senior Software Engineer, Infrastructure

Jobtailor

Toronto

On-site

CAD 110,000 - 160,000

Full time

3 days ago

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Job summary

Jobtailor is seeking a senior infrastructure/DevOps engineer to design, build, and operate scalable real-time systems. You will own cloud migrations between AWS and GCP, lead cost optimization, and collaborate with cross-functional teams to ensure high reliability.

Ideal candidates have hands-on production experience with Go or Python, Kubernetes at scale, and a track record of cost efficiency on cloud platforms. This role requires leadership in a small senior team.

Qualifications

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

Responsibilities

Design, build and operate infrastructure for real-time systems carrying millions of concurrent connections and billions of monthly API requests.

Skills

Go Programming

Python Programming

Kubernetes

AWS

GCP

PostgreSQL

CockroachDB

Redis

Terraform

Real-Time Systems

Tools

Prometheus

WebSockets

WebRTC

Streaming Workloads

API Development

Job description

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 clear 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.

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