Senior Site Reliability Engineer (Remote UK)

OUR STORYTechInsights 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. For more information, visit www.techinsights.com. WHY WORK WITH US 

Company-sponsored training and development opportunitiesComprehensive benefits package (health, dental, vision, wellness, retirement, annual fitness reimbursement)Flexible vacation policyCommunity involvement opportunities through charitable alliances.Wellness resources and supportInclusive environment that prioritizes diversity, equity, and accessibilityHigh-growth company driven by high performanceExpected salary range: £77,600 - £82,200 GBP

THE OPPORTUNITY: 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.What sets this role apart is its scope. 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.This role is a remote role for candidates based in the United Kingdom. WHAT YOU’LL DO Platform Reliability & AI Operations

Own SLOs, SLIs, and error budgets for all production services; drive error budget discipline across engineeringDesign reliability patterns for AI agent pipelines: LLM observability, tool-use tracking, failure detection, and graceful degradationArchitect for blast radius containment — agent failures must have bounded customer impact through isolation, circuit breaking, and rapid recoveryMature our Canada Central/West active-active architecture toward 24-hour RTO with full regional failoverLead incident response and post-incident reviews that produce durable fixes; 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 standardsPartner with AI Engineering on compute provisioning, model serving, inference latency, and workload isolationOwn CI/CD pipeline strategy (Bitbucket Pipelines, GitHub Actions) — set standards, optimize deployment frequency, and ensure teams can ship confidentlyDrive IDP adoption and enable teams on SRE practices: on-call readiness, SLO definition, runbook development, and self-service toolingRepresent reliability in architectural discussions; surface risk before it's committed to design

Observability, IDP & Service Catalog

Own the service catalog — a living inventory of all services, AI agents, dependencies, ownership, and SLOsOperate Datadog as the single pane of glass for service health, infrastructure, and agentic pipeline telemetryExtend observability to AI workloads: LLM latency, token consumption, agent completion rates, and pipeline throughputBuild golden path templates in Backstage and/or Atlassian Compass so teams ship reliably without routine SRE involvementApply AIOps in Datadog to automate anomaly detection, incident triage, and remediation recommendations

FinOps, IaC & Continuous Improvement

Own infrastructure as code via Terraform and GitOps; enforce IaC policy in partnership with Trust AssuranceOwn FinOps visibility into AWS cost segments; model cloud cost impact as AI/ML workloads scaleFormally mentor junior and intermediate SRE engineers, with accountability for their technical growth and career progressionBuild AI-assisted automation to progressively reduce toil and scale the team's operational capacity

WHAT YOU’LL BRING  Technical Requirements

Bachelor's degree in Computer Science, Engineering, or equivalent combination of education and experience6–8 years of progressive experience in site reliability engineering, platform engineering, or DevOps, with demonstrated technical leadership at the senior individual contributor levelDeep expertise in AWS (EKS, Lambda, CloudWatch, AWS Config) and multi-region architecture patternsProficiency 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 tracingStrong 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 servicesDeep expertise in CI/CD pipeline design and optimization using Bitbucket Pipelines and GitHub ActionsFamiliarity with IDP tooling (Backstage, Atlassian Compass, or equivalent) strongly preferredExperience with AI/ML workload infrastructure, LLM API integration, or agentic system operations considered a strong asset

Professional Skills

Leads and owns strategic reliability initiatives end-to-end with a high degree of autonomy; accountable for outcomes, not just tasks Sets technical direction and influences team and department strategySolves complex, ambiguous reliability problems through systematic analysis and first-principles thinkingFormally mentors junior and intermediate engineers; builds team capability through coaching and knowledge transferCommunicates technical reliability concepts clearly to engineering, product, and leadership audiencesApproaches operational work with an AI-first posture: builds automation and intelligent tooling as the default

Preferred Qualifications

Experience designing reliability architecture for agentic AI systems: agent loop observability, blast radius isolation, graceful degradation for LLM-dependent servicesAWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalentFinOps Certified Practitioner or demonstrated cloud cost management experience at scaleIDP implementation or developer experience program leadershipExperience in semiconductor, SaaS, or data-intensive platform environmentsExperience operating in environments with export-controlled or regulated dataKnowledge 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. This information will be used to comply with U.S. Export Control Laws and Regulations.WORKING ARRANGEMENTThis is a remote position for candidates based in the UK. Occasional travel may be required. 

Technology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. 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.

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