Senior Site Reliability Engineer (SRE) - Data & AI Platforms Location: Glasgow, Scotland (Hybrid - 3 days onsite, non-negotiable) Duration: 6 months with extensions likely Day rate: PAYE circa £430 We are seeking an experienced Senior Site Reliability Engineer to support a strategic, data- and AI-driven platform delivering operational intelligence at scale. This role sits at the intersection of software engineering, platform operations, and data infrastructure, with a strong focus on reliability, automation, and continuous improvement. Key Responsibilities: Own reliability, availability, and performance across DEV, QA, and PROD environments Apply SRE principles (SLIs/SLOs) to improve resilience and reduce operational toil Build automation tooling (primarily Python) to streamline workflows Develop and maintain CI/CD pipelines for data and platform services Lead incident response, root cause analysis, and preventative improvements Implement monitoring, alerting, and observability across systems Support cloud data platforms (including Snowflake) for scalability and cost efficiency Enable reliable deployment of AI-driven services and data pipelines Collaborate with engineering, data, and product teams in Agile environments Required Skills & Experience: Extensive experience in SRE, platform engineering, or similar roles Strong Python scripting and automation experience Proven experience managing production systems at scale CI/CD and modern software delivery practices Cloud data platforms and relational databases knowledge Strong troubleshooting and communication skills Desirable: Experience with AI/LLM platforms, BI tools, and semantic data models Background in large-scale or regulated environments Please apply today to be considered McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.