Lead Quality Engineer

Define and drive the overall quality engineering strategy across applications and initiatives

• Own and evolve test and automation strategies, ensuring alignment with architecture and

business goals

• Lead end-to-end test design, execution, and automation across multiple workstreams

• Drive the development and adoption of scalable automation frameworks and best practices

• Provide technical leadership and mentorship to QE engineers, guide design and execution

• Collaborate with business, product, and engineering teams to translate complex requirements

into effective test strategies

• Establish and enforce quality gates and release standards across the SDLC

• Proactively identify, track, and mitigate delivery risks and quality issues, providing regular

updates to stakeholders

• Lead efforts to diagnose and resolve performance, scalability, and stability issues in complex

systems

• Champion QE best practices, innovation, and continuous improvement, including adoption of AI-

driven testing solutions

• Lead proof-of-concepts (POCs) for new tools, frameworks, and automation approaches

• Drive and optimize CI/CD integration, enabling continuous testing and faster, reliable releases

• Collaborate effectively across onshore and offshore teams, ensuring alignment and delivery

8+ years of QE experience with a proven leadership track record.

Deep expertise in functional, performance, and end-to-end testing.

Hands-on experience with BDD automation frameworks, CI/CD, and AI-assisted tools.

Bonus: Background in Order Management systems, trading workflows, and Java., Bachelor's degree in Computer Science or related field

• 8+ years of QE/testing experience

• Proven experience leading QE efforts or managing QE teams

• Deep expertise across multiple testing types, including functional, performance and end-to-end

• Strong hands-on automation experience with working knowledge of BDD frameworks

• Strong understanding of software engineering practices, design principles and coding standards

• Hands-on experience in building and maintaining CI/CD pipelines

• Strong analytical, problem-solving, and leadership skills

• Excellent communication skills with the ability to influence stakeholders across levels

• Experience leveraging AI-assisted development and testing tools (e.g., GitHub Copilot, Claude