Site Reliability Engineer

AWS Site Reliability Engineer (Data Platform) – Contract

Location: Glasgow

Contract Length: February 2026 – January 2027

Role Overview

We are recruiting an AWS Site Reliability Engineer (SRE) to support a cloud-native data platform for a major international financial services organisation. The platform is built on AWS, with core components including Snowflake and Databricks, and underpins critical analytics and data services used across the business.

This role focuses on reliability engineering, automation, observability, and resilience. You will work closely with data engineering and platform teams to ensure the platform is scalable, highly available, and operationally robust in a regulated, high-availability environment.

Key Responsibilities

Design, build, and maintain automation for infrastructure provisioning, platform operations, and incident response using Infrastructure as Code (IaC) and CI/CD

Lead resiliency and disaster recovery (DR) planning, including DR testing, failure scenarios, and recovery validation across AWS and data platform services

Define and manage SLIs, SLOs, and SLAs for critical data pipelines and platform services, using error budgets to drive reliability improvements

Build and operate comprehensive observability solutions (metrics, logs, traces, alerting) across AWS, Snowflake, and Databricks workloads

Partner with data engineering and platform teams to embed reliability-by-design into architecture and delivery

Perform root cause analysis (RCA) on incidents and drive continuous improvement to reduce operational toil

Own and drive resolution of incidents and service requests raised by platform consumers, identifying recurring issues and automating fixes to improve reliability and user experience

Required Skills & Experience

Strong practical experience applying Site Reliability Engineering (SRE) principles, including SLO/SLI/SLA design and error budgets

Proven production experience with AWS (e.g. EC2, S3, IAM, VPC, CloudWatch)

Hands‑on experience with automation and Infrastructure as Code (Terraform, CloudFormation, or CDK)

Experience building and operating observability and monitoring solutions

Scripting experience in Python and/or Bash

Exposure to data platforms such as Snowflake and/or Databricks

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