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Senior Site Reliability Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteSeniorTeam 201-500Since 1989H1B No SponsorCompany SiteLinkedIn

Location

Canada

Posted

81 days ago

Salary

$125.2K - $132.5K / year

Seniority

Senior

Job Description

Senior Site Reliability Engineer

TechInsights

• Own SLOs, SLIs, and error budgets for all production services; drive error budget discipline across engineering • Design reliability patterns for AI agent pipelines: LLM observability, tool-use tracking, failure detection, and graceful degradation • Architect for blast radius containment — agent failures must have bounded customer impact through isolation, circuit breaking, and rapid recovery • Mature our Canada Central/West active-active architecture toward 24-hour RTO with full regional failover • Lead incident response and post-incident reviews that produce durable fixes; maintain DR procedures through regular testing • Serve as the primary reliability liaison to Software and AI Engineering, translating requirements into actionable standards • Own CI/CD pipeline strategy (Bitbucket Pipelines, GitHub Actions) — set standards, optimize deployment frequency, and ensure teams can ship confidently • Represent reliability in architectural discussions; surface risk before it's committed to design • Own the service catalog — a living inventory of all services, AI agents, dependencies, ownership, and SLOs • Operate Datadog as the single pane of glass for service health, infrastructure, and agentic pipeline telemetry • Build AI-assisted automation to progressively reduce toil and scale the team's operational capacity

Job Requirements

  • Bachelor's degree in Computer Science, Engineering, or equivalent combination of education and experience
  • 6–8 years of progressive experience in site reliability engineering, platform engineering, or DevOps, with demonstrated technical leadership at the senior individual contributor level
  • Deep expertise in AWS (EKS, Lambda, CloudWatch, AWS Config) and multi-region architecture patterns
  • Proficiency with Terraform and GitOps; experience with policy-as-code (Sentinel, OPA/Rego, or equivalent)
  • Hands-on Datadog experience at operational depth: dashboards, SLO tracking, alerting, log management, distributed tracing
  • Strong containerization expertise: Docker, Kubernetes (EKS preferred)
  • Proficiency in Python and/or Bash; experience building operational tooling; solid understanding of Java and Spring Boot microservice architecture sufficient to make reliability and deployment decisions for EKS-hosted services
  • Deep expertise in CI/CD pipeline design and optimization using Bitbucket Pipelines and GitHub Actions
  • Familiarity with IDP tooling (Backstage, Atlassian Compass, or equivalent) strongly preferred
  • Experience with AI/ML workload infrastructure, LLM API integration, or agentic system operations considered a strong asset

Benefits

  • Company-sponsored training and development opportunities
  • Comprehensive benefits package (health, dental, vision, wellness, RRSP Matching, annual fitness reimbursement)
  • Flexible vacation policy
  • Community involvement opportunities through charitable alliances: https://www.techinsights.com/community-involvement
  • Wellness resources and support
  • Inclusive environment that prioritizes diversity, equity, and accessibility
  • High-growth company driven by high performance

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