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.
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