Job Specifications
We are in need of SDET (Software Development Engineer in Test) Professionals.
Role: SDET Engineer
Location: London
Job Type; Fultime/ Contract
Work Mode: London – 5 days onsite mandatory ,
Please Note: NO VISA Sponsorship
Software engineer who have experience 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.
Interested aspirants can please share their CV / Queries to anita.gokul@alphayotta.com
About the Company
AlphaYotta provides a variety of innovative and comprehensive IT solutions. We deliver quality services in the most efficient way, and our experts will work collaboratively with you to customise our offerings to your particular needs. Book a meeting with one of our consultants to hear more about how we can assist your operation.
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