01Key Responsibilities
Design, build, and maintain scalable test automation frameworks that cover frontend, backend, API, and data validation layers across investment research platforms.
Own the end-to-end quality strategy for research technology initiatives defining test plans, coverage targets, and risk-based testing approaches from discovery through production.
Develop and execute automated regression, smoke, integration, contract, and performance test suites as a first-class part of CI/CD pipelines integrating quality gates, test reporting, and failure analysis tooling throughout.
Partner with product owners, architects, and engineers to translate business and technical requirements into testable acceptance criteria and executable test cases.
Validate cloud-ready, event-driven services and integration patterns with a focus on reliability, data correctness, and edge case coverage.
Drive shift-left testing practices by embedding quality gates early in the development cycle and advocating for testability in design and code reviews.
Design and execute chaos engineering experiments to validate system resilience simulating failure conditions such as service outages, network degradation, and dependency unavailability to harden platform reliability.
Design and execute automated test suites for containerized workloads, validating Docker image integrity, deployment configurations, health checks, and service behavior across isolated and integrated environments.
Build observability validation into delivery and diagnose complex production defects ensuring alerting, dashboards, and logging behave correctly, and improving long-term resiliency through targeted test coverage.
Validate data pipelines and ETL workflows on cloud platforms (GCP, Snowflake), including data transformation accuracy and pipeline reliability.
Mentor engineers on quality practices, test design principles, and automation patterns helping the team build confidence in what they ship.
Incorporate approved Generative AI capabilities to enhance test coverage, test data generation, and quality productivity while following enterprise governance and compliance expectations.
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
6+ years of SDET or quality engineering experience, including hands-on test automation development in Python.
Proven track record building and maintaining automation frameworks for UI and API layers, with hands-on experience integrating automated test gates into CI/CD pipelines.
