Senior Site Reliability Engineer-Remote

TechInsights is the information Platform for the semiconductor industry.
Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights’ content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry—past, present, or future.
Over 650 companies and 150,000 users access the TechInsights Platform, the world’s largest vertically integrated collection of unmatched reverse engineering, teardown, and market analysis in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights’ customers include the most successful technology companies who rely on TechInsights’ analysis to make informed business, design, and product decisions faster and with greater confidence. 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:
I nclusive environment that prioritizes diversity, equity, and accessibility
High-growth company driven by high performance

125,200 - $132,500 CAD

TechInsights is building the reliability and AI operations foundation for its next chapter — an AI-first intelligence platform that runs the most demanding semiconductor intelligence workflows in the world. We're looking for a Senior Site Reliability Engineer who wants to own that foundation.
This is a senior individual contributor role at the technical leadership tier of our Site Reliability Engineering team. You'll own strategic reliability initiatives end-to-end: setting technical direction, defining SLOs and error budgets across our production platform, designing reliability patterns for the AI agent pipelines that power our platform's AI-first capabilities, and enabling our development and AI Engineering teams to build and ship with confidence.
You're not just keeping the lights on — you're building the observability, Internal Developer Platform (IDP), and service catalog that a fast-scaling AI platform needs from day one. You'll be the reliability voice in architectural decisions, the engineer who closes the loop between agent failure modes and platform resilience, and the mentor who builds the team's capability rather than their own indispensability.
If you have deep SRE experience and want to apply it to AI workloads — agent loop observability, blast radius management, LLM infrastructure reliability — this is the role where that expertise becomes a differentiator.

Platform Reliability & AI Operations
drive error budget discipline across engineering
Design reliability patterns for AI agent pipelines: Architect for blast radius containment — agent failures must have bounded customer impact through isolation, circuit breaking, and rapid recovery
maintain DR procedures through regular testing
Developer & AI Engineering Enablement
Serve as the primary reliability liaison to Software and AI Engineering, translating requirements into actionable standards
Partner with AI Engineering on compute provisioning, model serving, inference latency, and workload isolation
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
Extend observability to AI workloads: LLM latency, token consumption, agent completion rates, and pipeline throughput
Build golden path templates in Backstage and/or Atlassian Compass so teams ship reliably without routine SRE involvement
FinOps, IaC & Continuous Improvement
enforce IaC policy in partnership with Trust Assurance
Own FinOps visibility into AWS cost segments; model cloud cost impact as AI/ML workloads scale
Formally mentor junior and intermediate SRE engineers, with accountability for their technical growth and career progression
Build AI-assisted automation to progressively reduce toil and scale the team's operational capacity

Technical 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
• experience with policy-as-code (Sentinel, OPA/Rego, or equivalent)
• 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
• Experience with AI/ML workload infrastructure, LLM API integration, or agentic system operations considered a strong asset

Sets technical direction and influences team and department strategy
Solves complex, ambiguous reliability problems through systematic analysis and first-principles thinking
builds team capability through coaching and knowledge transfer
Communicates technical reliability concepts clearly to engineering, product, and leadership audiences
Approaches operational work with an AI-first posture: builds automation and intelligent tooling as the default
Experience designing reliability architecture for agentic AI systems: agent loop observability, blast radius isolation, graceful degradation for LLM-dependent services
AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent
IDP implementation or developer experience program leadership
Experience in semiconductor, SaaS, or data-intensive platform environments
Experience operating in environments with export-controlled or regulated data
Knowledge of BCP/DR program management and formal recovery testing
As part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency information. Export Control Laws and Regulations.
This is a remote position for candidates based in Canada. Occasional travel may be required.

We’re committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together.
TechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
AI technology may be used to assist in the screening and assessment of applications for this position. Our recruiters are involved at every stage, and all hiring decisions are made by People and hiring teams.
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