AI Test Automation Lead

About

We are seeking a high-caliber Senior Automation & Quality Engineer to lead the evolution of our testing ecosystem. In this role, you will move beyond traditional automation by pioneering AI-assisted test generation and agentic workflows. You will be responsible for designing robust, scalable test cases to be judged by LLM-based evaluation to drastically reduce manual authoring time while maintaining elite-level system reliability.

The role involves creating and updating microservices and collaborating with front- and back-end teams from design to production support.

Responsibilities

AI-Driven Testing Innovation

• Design and implement LLM-assisted test scaffolding (using tools like Claude Code, GitHub Copilot, or Vertex AI) to automate the creation of complex test suites.

Hybrid Testing Strategy

• Demonstrate a high degree of flexibility by performing manual exploration testing when necessary and transitioning those insights into high performance functional automation using Python, pytest, and TypeScript.

Cross-Project Contribution

• Act as a versatile quality consultant across multiple workstreams.
• You must thrive in a high-paced delivery environment, balancing competing priorities across different project teams.

Agentic Frameworks

• Maintain a strong understanding of Agentic AI frameworks and Agent Evaluations to ensure the reliability of AI-driven products.

Performance Engineering

• Conduct deep-dive performance analysis, latency profiling, and bottleneck identification using Locust or Apache JMeter.

Backend Validation

• Perform deep integration and contract testing for distributed systems built on Fast API, Spring Boot, Kafka, and REST APIs.

Required Technical Expertise

Languages

• Expert-level proficiency in Python, Java, or Go.

Testing Frameworks

• Deep experience with pytest (fixtures, parametrize, mocking) or TypeScript frameworks like Playwright or WebDriver IO.

Messaging & Data

• Experience testing event-driven architectures involving Apache Kafka or Pulsar, and validating data across MongoDB, PostgreSQL, or Redis.

Observability

• Ability to leverage Grafana or the ELK Stack for advanced test monitoring and alerting.

Generic Managerial Skills, If any

• Strong background in Agile/Scrum environments with a focus on TDD/BDD and Shift-Left testing practices

Education

• Minimum Degree With IT Skills

Qualifications

• BACHELOR OF COMPUTER SCIENCE