Test Engineering Senior Associate

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development?

At DTCC, we are at the forefront of innovation in the financial markets.

We are committed to helping our employees grow and succeed.

We believe that you have the skills and drive to make a real impact.

We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets.

The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay and Benefits:

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact you will have in this role:

Being a member of IT CSS Equities Delivery team, the Lead Software Development Test Engineer will be responsible for leading and developing test plans and implementing those plans against the corresponding test procedures.

They should also be accountable for the development of automation scripts in Selenium java and writing SQL queries.

• Safeguard a global post-trade platform — Your test automation will directly protect the reliability of a system used daily by investment managers, broker/dealers, and custodian banks worldwide, where a single defect can carry real financial and regulatory consequences.
• Raise the quality bar across the SDLC — You will embed quality earlier and deeper into delivery, shifting testing left and enabling faster, more confident releases without compromising stability.
• Accelerate delivery through AI-augmented testing — By leveraging AI for test generation, self-healing UI locators, and reusable automation assets, you'll reduce manual test effort, shorten regression cycles, and free the team to focus on higher-value work.
• De-risk a major platform modernization — Your validation of Oracle-to-PostgreSQL database migrations will ensure data integrity and functional parity as the platform modernizes, protecting the business from migration-related regressions.
• Elevate the engineering team — Through technical leadership and mentorship, you'll uplift the QA engineering team's skills, establish automation best practices, and create a durable culture of quality ownership.
• Enable full-stack confidence — By driving coverage across UI, API, database, and integration layers of a multi-service containerized architecture, you'll give stakeholders end-to-end assurance that the platform behaves correctly at every tier.

• Lead the design, development, and execution of scalable test automation solutions for mission-critical financial market applications, ensuring high quality, reliability, and operational resilience.
• Drive automation strategy across UI, API, database, and integration testing domains while leveraging AI-enabled testing practices to improve efficiency and coverage.
• Provide technical leadership, mentoring, and guidance to QA engineers, promoting engineering excellence, best practices, and continuous improvement.
• Partner with cross-functional teams to support cloud modernization, database migration initiatives, and delivery of high-quality software across distributed, containerized environments.
• Champion innovation through adoption of advanced automation frameworks, self-healing technologies, and data-driven quality engineering methodologies.

NOTE: The Primary Responsibilities of this role are not limited to the details above.

• Min 6 yrs of relevant experience
• Bachelors’ Degree in Computer Science or technical field and/or equivalent experience.

• 7+ years of hands-on test automation engineering, ideally within complex, large-scale enterprise or financial platforms.
• Deep expertise in keyword-driven / data-driven automation frameworks, including designing, extending, and maintaining reusable framework components.
• Strong programming skills in a language such as Python, Java, or C# for building robust, maintainable automation.
• Proven experience automating across multiple layers — UI, REST/SOAP API, database, and end-to-end integration testing.
• Solid database and SQL proficiency, with practical experience validating data across relational systems (Oracle, PostgreSQL) and testing data migrations.
• Working knowledge of containerized, microservices architectures (e.g., Docker/Kubernetes) and testing in distributed, multi-service environments.
• Experience integrating automation into CI/CD pipelines (e.g., Jenkins, Azure DevOps, GitLab) for continuous testing.
• Exposure to AI-assisted testing tools for test generation, self-healing locators, or intelligent test maintenance is a strong plus.
• Prior experience leading or mentoring QA engineers and setting technical direction for a testing practice.
• Capital markets, post-trade, or broader financial services domain experience is highly desirable.
• Technical leadership — Able to set the automation strategy, make sound architectural decisions, and guide a team toward a shared quality vision.
• Quality-first mindset — Instinctively thinks about edge cases, risk, and end-user impact, and champions quality as a shared responsibility.
• Mentorship and collaboration — Genuinely invests in growing others, gives constructive feedback, and works effectively across development, product, and DevOps teams.
• Problem-solving and analytical rigor — Diagnoses complex, multi-service failures methodically and separates signal from noise in flaky or intermittent issues.
• Adaptability and curiosity — Embraces emerging tools (especially AI) and continuously modernizes the testing approach rather than defending the status quo.
• Clear communication — Translates technical risk and quality metrics into language that resonates with both engineers and business stakeholders.
• Ownership and accountability — Takes end-to-end responsibility for quality outcomes and proactively surfaces risks before they reach production.
• Attention to detail — Balances big-picture strategy with the precision needed to catch subtle data, integration, or regression defects.

The salary range is indicative for roles at the same level within DTCC across all US locations.