Software Development Engineer in Test (SDET Engineer)

Insight International (UK) Ltd; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading tech company in the UK is seeking an experienced software engineer to design and build high-performance tools for validating ML data pipelines. The role includes developing test solutions and automation frameworks while mentoring junior engineers. Ideal candidates will have 8+ years of experience in software development, expertise in Python, and solid AWS skills. Join a collaborative environment where you'll influence quality engineering practices and enhance platform resilience.

Qualifications

• 8+ years of hands-on software development experience, including large-scale backend systems.
• Expert in Python with strong understanding of object-oriented programming.
• Solid experience with AWS services like Lambda, S3, and ECS/EKS.

Responsibilities

• Design and build high-performance tools to validate ML data pipelines.
• Develop platform-level test solutions and automation frameworks using Python.
• Lead initiatives that drive testability and validation across the ML platform.

Skills

Python

CI/CD systems

Terraform

AWS services

Object-oriented programming

Education

Bachelor’s or master’s degree in computer science or Engineering

Tools

GitHub Actions

Jenkins

Job description

Responsibilities

• 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.

Required Qualifications

• 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, GitHub Actions, Jenkins, or similar tools.
• Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch).
• 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.

Preferred Qualifications

• 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).
• Familiarity with banking or financial domain use cases, including data governance and compliance-focused development.
• Knowledge of platform security, monitoring, and resilient architecture patterns.