
Senior DevOps Engineer
shyftlabs · Toronto, ON, Canada
About The Role
What You'll Be Doing
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Personally design, build, and operate the cloud infrastructure, CI/CD pipelines, and underlying platform that our production, QA, and development environments run on.
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Write the automation, IaC, and tooling yourself, including Terraform modules, deployment scripts, and glue code that removes manual work for the whole team.
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Own reliability directly. Troubleshoot and resolve scalability, availability, and performance issues in live systems, catching and fixing problems before they reach customers.
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Build and maintain CI/CD pipelines, keeping them fast, stable, and efficient, and integrate automated testing into them.
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Stand up monitoring, dashboards, alerting, and log aggregation, then act on what they tell you.
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Get hands-on with application developers to make deployments seamless, pairing on issues rather than just handing off runbooks.
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Set technical direction for DevOps and drive it to adoption, making the architectural calls and defending them with working systems.
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Mentor and grow the engineers around you by reviewing work, unblocking teammates, and raising the bar through hands-on guidance rather than distance.
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Help shape team structure and priorities, and coordinate closely across engineering and with customers to keep delivery on track.
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Evaluate and roll out new tools, technologies, and processes, proving them out in real systems rather than in slide decks.
What You'll Bring
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5+ years of hands-on DevOps engineering, with a track record of things you personally built and shipped.
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Experience leading or mentoring engineers, or owning the technical direction of a team or major project.
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Deep, practical expertise in AWS EKS, GitLab CI/CD, and Terraform. You've operated these in production, not just touched them.
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Extensive hands-on AWS experience across Lambda, API Gateway, CloudWatch, ECS, Kinesis, and Kafka.
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Fluent on the command line (Bash, Python) and comfortable writing your own automation and tooling.
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Strong grasp of microservices architecture, container orchestration (Docker, Kubernetes/EKS), and IaC methodology.
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Proven ability to architect and scale infrastructure across multiple cloud platforms.
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Working knowledge of Elasticsearch and log aggregation.
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Excellent at documenting your own work clearly, and communicating decisions to both engineers and customers.
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A self-starter and closer, someone who takes ambiguous problems and returns working, shipped solutions, and brings a team along with them.
Salary Range
- $120,000 - $140,000 (CAD)
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