SDET; Software Development Engineer in Test

Role

SDET (Software Development Engineer in Test)

London, UK (5 days onsite mandatory)

Permanent/Contract

We are seeking a Software engineer with experience in Test Engineering role and hands‑on experience in Python, AWS and testing tools like pytest, Playwright.

• Design and build high‑performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure.
• Develop platform‑level test solutions and automation frameworks using Python, Terraform, and modern cloud‑native practices.
• Contribute to the platform's CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage.
• Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack.
• Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components.
• Build reusable components that support scalability, modularity, and self‑service quality tooling.
• Mentor junior engineers and influence technical standards across the Test Engineering Program.

• Bachelor's or Master's degree in computer science, engineering, or a related technical field.
• 8+ years of hands‑on software development experience, including large‑scale backend systems or platform engineering.
• Expert in Python with a strong understanding of object‑oriented programming, testing frameworks, and automation libraries.
• Experience building or validating platform infrastructure, with hands‑on knowledge of CI/CD systems, Git Hub Actions, Jenkins, or similar tools.
• Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, Cloud Watch).
• Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure.
• Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability.

• Exposure to machine learning workflows, model lifecycle management, or data engineering platforms.
• Experience with distributed systems, event‑driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks).
• Knowledge of platform security, monitoring, and resilient architecture patterns.