SDET (On-Site)

Insight; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Insight is seeking an SDET profile to join our team in London. You will be a software engineer with hands-on test engineering experience, focusing on Python, AWS, and testing tools like pytest and Playwright.

The role emphasizes building automation, validating ML data pipelines, and enhancing platform reliability. You will design platform-level test solutions, contribute to CI/CD pipelines, and mentor junior engineers while collaborating with MLOps and infrastructure teams to embed quality

Qualifications

• Bachelor's or master's degree in computer science, engineering, or related field.
• 8+ years hands-on software development experience in backend systems or platform engineering.
• Expert in Python with strong OOP, testing frameworks and automation libraries.
• Hands-on knowledge of CI/CD systems like GitHub Actions/Jenkins.
• Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch).
• Proficient in Infrastructure as Code using Terraform.

Responsibilities

• Design and build high-performance tools and services to validate ML data pipelines and AI infrastructure reliability and correctness.
• Develop platform-level test solutions and automation frameworks using Python and 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 to improve testability, platform resilience, and validation as code across 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.

Skills

Python

Backend systems

Platform engineering

Testing frameworks

CI/CD

AWS

Terraform

Object-oriented programming

Playwright/Pytest

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

GitHub Actions

Jenkins

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.
• 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., 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.