SDET (On-Site)

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

Job summary

A leading technology firm in England seeks an experienced Software Development Engineer in Test (SDET). You will be responsible for designing and building high-performance tools to validate ML data pipelines and developing automation frameworks. The ideal candidate will have over 8 years of experience in software development with expertise in Python and AWS services. Join a dynamic team to enhance platform resilience and quality engineering practices.

Qualifications

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

Responsibilities

• Design and build high-performance tools to validate ML data pipelines.
• Develop automated testing frameworks using Python and Terraform.
• Lead initiatives to drive testability and platform resilience.

Skills

Python

AWS

CI/CD

Terraform

testing frameworks

Education

Bachelor’s or master’s degree in computer science, Engineering, or a related technical field

Tools

GitHub Actions

Jenkins

pytest

playwright

Terraform

Job description

SDET (Software Development Engineer in Test) profile, in short, we are looking for the Software engineer who have experience in working in Test Engineering role and hands‑on experience in Python, AWS and testing tools like pytest, playwright.

Key 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.