Description

You will drive the Test Engineering Program by architecting and developing validation frameworks for an AI/ML Data Platform.

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 and cloud-native practices.
• Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks.
• Lead initiatives that drive testability, platform resilience, and validation as code across the ML platform stack.
• Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering into platform components.

Required Skills

• 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering.
• Expert in Python with strong understanding of object-oriented programming and testing frameworks.
• Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure.
• Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch).
• Experience building or validating platform infrastructure using CI/CD systems like GitHub Actions or Jenkins.
• Strong understanding of software engineering best practices: code quality, reliability, and observability.
• Experience developing large-scale distributed systems.

Key Skills

Education

Any Graduate