SDET Engineer (DevOps / Core AI) Up to: £500 per day, Outside IR35 | 6 months initial project | Hybrid (2 days on-site p/w, London)
Role Overview The successful candidate will join our client's core engineering team, working directly with Data Engineering & AI teams to build and scale workflows across healthcare and life sciences. You'll help deliver enterprise-grade solutions for some of the world's largest pharmaceutical and medtech organisations, tackling complex data and workflow challenges with measurable business impact.
Key Responsibilities
Design and implement automated testing frameworks (SDET).
Develop CI/CD pipelines and DevOps best practices.
Collaborate closely with AI Engineers and Data Engineers to deliver scalable solutions.
Build, automate and support AI/ML and data platforms in AWS.
Support deployment, monitoring and reliability of Agentic AI workflows.
Person Specification
Hands-on AWS expertise.
Experience building CI/CD pipelines and infrastructure-as-code.
Strong experience across DevOps, cloud infrastructure and automated testing.
Good understanding of software testing, quality engineering and automation.
Exposure to AI/LLM-based systems and modern data platforms.
Comfortable working in a fast-paced startup environment.
Client Feedback: Required Skills & Experience
Strong SDET and QA automation background.
Hands-on DevOps engineering experience.
Commercial experience working within AWS environments.
Experience supporting cloud-native applications and infrastructure.
Strong understanding of software delivery, testing and deployment practices.
Previous experience within regulated or enterprise environments (e.g. banking, financial services) desirable.
Ideal Candidate
Able to discuss infrastructure, architecture and automation in depth.
Confident working across development, testing and operations teams.
Proactive, hands-on and technically curious.
Comfortable operating in highly technical engineering environments.
Please reach out to Adam Akhtar for further information