SDET Engineer (contract)
other jobs Opus Recruitment Solutions Ltd
Added before 1 Days
- England,London,City of London
- Full Time, Contract
- £450 - £500 per day
Job Description:
Full job descriptionSDET 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
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
Job number 4271397
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