Role & seniority: SDET (Software Development Engineer in Test); 8+ years of hands-on software development experience; senior individual contributor expected to mentor others.

Stack/tools: Python (OOP, testing/automation libs), AWS (Lambda, S3, ECS/EKS, Step Functions, CloudWatch), testing tools (pytest, Playwright), Terraform (IaC), CI/CD tools (GitHub Actions, Jenkins), cloud-native/platform engineering, observability tooling.

Top 3 responsibilities

Design and build high-performance tools/services to validate 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; advance testing across the platform stack.
Integrate automated testing, resilience checks, and observability hooks into the CI/CD pipeline; drive testability and validation-as-code across layers; collaborate with MLOps/infra; mentor junior engineers.

Must-have skills

Bachelor’s or Master’s in CS/Engineering or related field
8+ years in software development, backend/platform engineering
Expert Python (ORM, testing/automation libraries)
Hands-on CI/CD experience (GitHub Actions, Jenkins, etc.)
AWS services proficiency (Lambda, S3, ECS/EKS, Step Functions, CloudWatch)
Infrastructure as Code with Terraform
Strong software engineering practices (quality, reliability, performance, observability)

Nice-to-haves

Full Description

Role: SDET (Software Development Engineer in Test)

Location: London,UK ( 5 days onsite mandatory)

Job Description :

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 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.