ShyftLabs

Senior DevOps Engineer

ShyftLabs
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3 months ago
Toronto, CanadaSenior

Responsibilities

  • Design, build, and operate cloud infrastructure, CI/CD pipelines, and platform systems.
  • Write Terraform modules, deployment scripts, automation, and tooling to eliminate manual work.
  • Troubleshoot and resolve scalability, availability, and performance issues in live systems.
  • Build and maintain CI/CD pipelines with integrated automated testing.
  • Implement monitoring, dashboards, alerting, and log aggregation and act on operational signals.
  • Partner hands-on with application developers to make deployments seamless.
  • Set technical direction for DevOps and drive adoption through working systems.
  • Mentor engineers, review work, unblock teammates, and provide hands-on technical guidance.
  • Help shape team structure and priorities and coordinate across engineering and with customers.
  • Evaluate and roll out tools, technologies, and processes in production systems.

Requirements

  • 5+ years of hands-on DevOps engineering experience with personally built and shipped systems.
  • Experience leading or mentoring engineers or owning the technical direction of a team or major project.
  • Deep production expertise with AWS EKS, GitLab CI/CD, and Terraform.
  • Extensive hands-on AWS experience with Lambda, API Gateway, CloudWatch, ECS, Kinesis, and Kafka.
  • Command-line proficiency with Bash and Python and the ability to write automation and tooling.
  • Strong understanding of microservices architecture, Docker, Kubernetes/EKS, and infrastructure-as-code methodology.
  • Experience architecting and scaling infrastructure across multiple cloud platforms.
  • Working knowledge of Elasticsearch and log aggregation.
  • Ability to document technical work and communicate decisions to engineers and customers.
  • Ability to take ambiguous problems through to working, shipped solutions while bringing a team along.

Tech Stack

Categories

ShyftLabs

About ShyftLabs

201-500 employees

ShyftLabs builds and runs enterprise data and AI platforms, combining data engineering, analytics, and responsible AI controls with consulting and managed delivery. It designs governed data infrastructure, customer and retail analytics, and omnichannel marketing data products for large organizations. Founded in 2018 and headquartered in Toronto, the privately held firm serves global clients and staffs teams across Toronto, New York, Dubai, and New Delhi.

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