Senior Site Reliability Engineer (AI)

TL;DR

Senior Site Reliability Engineer (AWS/AI): Building and scaling the reliability and AI operations foundation for a semiconductor intelligence platform with an accent on LLM observability, blast radius containment, and automated recovery. Focus on designing reliability patterns for AI agent pipelines, maturing active-active architectures, and establishing a comprehensive Internal Developer Platform.

Location: Remote for candidates based in the United Kingdom

Salary: £77,600 – £82,200 GBP

Company

hirify.global is an information platform providing in-depth intelligence and reverse engineering analysis for the semiconductor industry.

What you will do

• Own SLOs, SLIs, and error budgets for production services and drive error budget discipline across engineering.
• Design reliability patterns for AI agent pipelines, including LLM observability, tool-use tracking, and failure detection.
• Architect blast radius containment and mature Canada Central/West active-active architecture toward 24-hour RTO.
• Lead CI/CD pipeline strategy using Bitbucket Pipelines and GitHub Actions to optimize deployment frequency.
• Operate Datadog for service health and extend observability to AI workloads like token consumption and agent completion rates.
• Mentor junior and intermediate SRE engineers and drive IDP adoption via Backstage or Atlassian Compass.

Requirements

• 6–8 years of progressive experience in SRE, platform engineering, or DevOps with technical leadership.
• Deep expertise in AWS (EKS, Lambda, CloudWatch) and multi-region architecture patterns.
• Proficiency with Terraform, GitOps, and policy-as-code (Sentinel, OPA/Rego).
• Hands-on operational depth in Datadog, including dashboards, SLO tracking, and distributed tracing.
• Strong containerization expertise with Docker and Kubernetes (EKS preferred).
• Must be based in the United Kingdom.

Nice to have

• Experience designing reliability architecture for agentic AI systems and LLM-dependent services.
• AWS Professional certifications (Solutions Architect or DevOps Engineer).
• FinOps Certified Practitioner or cloud cost management experience at scale.
• Experience in semiconductor, SaaS, or data-intensive platform environments.

Culture & Benefits

• Company-sponsored training and development opportunities.
• Comprehensive benefits package including health, dental, vision, wellness, and retirement.
• Flexible vacation policy and annual fitness reimbursement.
• Inclusive environment prioritizing diversity, equity, and accessibility.
• Community involvement opportunities through charitable alliances.