Test Engineer (SDET)

Test Engineer (SDET)

Posted Today by Dns Info Ltd

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Negotiable
Undetermined
Onsite
London, UK
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Amazon Web Services (AWS) Apache Kafka Apache Spark Architectural Patterns Artificial Intelligence Automation Azure Databricks Back End (Software Engineering) Banking Big Data Cloud Computing Cloud Infrastructure Cloud Technology Computer Science Continuous Integration and Continuous Delivery Databricks Data Engineering Data Governance End Systems Generic Programming Github Infrastructure as Code (IaC) Investment Banking Investments Jenkins Lifecycle Management Machine Learning Management Object-Oriented Programming (OOP) Py.test Python (Programming Language) Scalability Software Development Software Development Engineer in Test Software Engineering Software Testing Automation Framework Terraform Testability Test Engineering Verification And Validation Workflows

Summary: The role of Test Engineer (SDET) focuses on developing high-performance tools and services to ensure the reliability and performance of machine learning data pipelines and AI infrastructure. The position requires extensive experience in software development, particularly in test engineering, with a strong emphasis on Python, AWS, and various testing tools. The candidate will lead initiatives to enhance testability and collaborate with multiple teams to integrate quality engineering practices. Mentorship of junior engineers and adherence to technical standards are also key aspects of this role.

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.

Key Skills:

  • 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 Back End 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.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: on-site

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

5 days onsite mandatory

Domain: same investment banking client

Here is the JD for 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 Qualification

  • 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 Back End 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 (eg, Kafka), and big data platforms (eg, 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.
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