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.

TPBN1_UKTJ