AI DevOps & Reliability Engineer

Role overview

Delivery and platform responsibilities

• Build deployment automation, release practices, CI/CD standards, quality gates, and guardrails.
• Create fast, reproducible, self-service development, staging, and ephemeral environments.
• Use Terraform or CloudFormation and Argo CD or other GitOps tooling for infrastructure and Kubernetes delivery.
• Operate Kafka streaming pipelines and SQL/NoSQL datastores under production load.
• Embed with an engineering team, mentor its engineers, and improve deployment and reliability capability.
• Instrument DORA metrics and make delivery and reliability health visible.

AI and reliability responsibilities

• Apply AI to runbook generation, intelligent alerting, incident response, and operational tooling.
• Improve alerting, on-call, runbooks, SLI/SLOs, incident response, operational readiness, and production hygiene.
• Share AI-augmented operations patterns across teams and feed embedded-team improvements back into the platform.

Experience and qualifications

• 7+ years in DevOps, platform, infrastructure, or related engineering roles.
• Hands-on experience adopting AI into DevOps and SRE practices.
• Strong Kubernetes and AWS experience; deep Terraform and/or CloudFormation experience.
• Proven CI/CD architecture experience and GitOps experience with Argo CD or Flux.
• Production experience with Kafka and high-volume SQL and NoSQL datastores.
• Scripting skills in Python, Bash, or similar; working knowledge of Prometheus, Grafana, and PagerDuty.
• Familiarity with on-call, incident response, SLI/SLOs, and runbooks; strong collaboration and communication skills.

Preferred experience

• Progressive delivery, canary or blue/green releases, and feature-flag-driven releases are nice to have.
• Cloud cost and efficiency awareness and exposure to Spark, schema management, or CDC are nice to have.

Workplace

• The role is 100% remote in Canada.
• The role does not qualify for relocation or visa sponsorship.

Compensation

• For candidates hired in Canada, the estimated compensation range is CAD 123,000 to CAD 160,000.
• The role includes a 10% annual bonus tied to company goals; qualifying positions may also include equity.