Lead Testing & Automation Engineer

Omm IT Solutions•Herndon, VA

1d•Onsite

About The Position

We are seeking a Lead Testing & Automation Engineer to drive end-to-end quality engineering across scalable, cloud-native platforms. This role requires strong expertise in Java, Spring, AWS, and API automation using Karate, combined with hands-on leadership in applying AI to transform testing practices. The ideal candidate will not only lead automation efforts but will define, implement, and scale AI-driven testing capabilities, improving efficiency, coverage, and release confidence across complex systems.

Requirements

7+ years of experience in QA automation, testing, or SDET roles, with leadership responsibilities.
Strong programming experience in Java and frameworks such as Spring Boot.
Hands-on expertise with Karate for API automation testing.
Deep understanding of REST APIs, microservices, and distributed systems.
Experience with AWS services (e.g., Lambda, ECS, S3, CloudWatch).
Proven experience integrating testing into CI/CD pipelines.
Demonstrated experience applying AI/ML or GenAI in testing or software engineering workflows.
Experience using AI tools to generate test cases, optimize test suites, or automate failure analysis.
Ability to define AI-driven testing strategies and lead implementation/rollout across teams.

Responsibilities

Lead the design and implementation of API automation frameworks using Karate for microservices-based architectures.
Build and support backend services using Java and Spring Boot to enable scalable and testable systems.
Develop and maintain automated test suites for REST APIs and distributed systems.
Integrate automated testing into CI/CD pipelines to support continuous delivery.
Own the assessment of current QA/testing capabilities, including tools, processes, and automation maturity.
Define and implement a target-state testing strategy leveraging AI-driven quality engineering practices.
Identify, design, and deploy AI-powered solutions across test generation, test data management, regression optimization, and defect detection.
Develop and execute a phased roadmap for AI adoption in testing, from pilot to enterprise rollout.
Lead implementation and scaling of AI-enabled testing solutions across teams and environments.
Use AI to analyze logs, failures, and test results to accelerate root cause analysis and improve system reliability.
Drive continuous improvement in test coverage, execution efficiency, and defect leakage reduction.
Collaborate with engineering, product, and DevOps teams in an Agile environment.
Mentor team members and establish best practices in automation and AI-driven testing.