Software 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).

Design, architect, develop, test, deploy, and maintain highly scalable enterprise software applications, data platforms, and cloud-native solutions.

Lead the design and implementation of complex data pipelines, integrations, and ELT/ETL processes using Snowflake, Python, and modern data engineering practices.

Architect and develop modern, responsive web applications and user interfaces using Angular, TypeScript, HTML, CSS, and related frameworks.

Design, optimize, and govern enterprise data models, database objects, and high-performance SQL solutions within Snowflake.

Lead the design and development of APIs, microservices, and event-driven architectures that support enterprise-scale platforms.

Drive cloud adoption and architecture decisions utilizing AWS services and cloud-native design patterns.

Own technical solution design and provide leadership during architecture reviews, design discussions, and technology evaluations.

Leverage AI-assisted development platforms such as Kiro, Amazon Q, GitHub Copilot, and Snowflake Cortex to improve engineering productivity, code quality, and delivery velocity.

Lead code reviews and promote software engineering best practices, coding standards, security requirements, and design principles.

Drive CI/CD modernization, deployment automation, observability, and DevOps excellence across the software delivery lifecycle.

Lead troubleshooting efforts for complex application, infrastructure, and data-related issues, performing root cause analysis and implementing sustainable solutions.

Partner closely with Product Owners, Business Analysts, Architects, SREs, and stakeholders to translate business objectives into scalable technical solutions.

Mentor and provide technical guidance to junior engineers and peers, fostering engineering excellence and knowledge sharing.

Create and maintain architecture documentation, technical standards, operational procedures, and engineering best practices.

Ensure solutions meet enterprise requirements for performance, scalability, availability, resiliency, compliance, and security.

Evaluate emerging technologies, AI capabilities, and engineering practices to drive innovation, automation, and continuous improvement across the organization.

• Minimum of 7 years of related software engineering experience.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience.
• Proven experience working within Agile software development environments.
• Experience leading technical initiatives, architectural design efforts, and large-scale application development projects.
• Demonstrated experience delivering cloud-native and data-intensive applications in enterprise environments.

• 7+ years of hands-on software engineering experience with a track record of delivering complex enterprise applications.
• Expert-level proficiency in Python, object-oriented programming, software design patterns, and application architecture.
• Strong hands-on experience with Snowflake, including data modeling, performance optimization, data warehousing, data governance, and ELT/ETL development.
• Extensive experience developing enterprise web applications using Angular, TypeScript, JavaScript, HTML, and CSS.
• Demonstrated experience designing and building scalable RESTful APIs, microservices, and event-driven systems.
• Strong understanding of distributed systems, application architecture, integration patterns, and system scalability.
• Advanced knowledge of relational databases, SQL optimization, data modeling, and large-scale data processing.
• Hands-on experience with AWS services including S3, Lambda, ECS, EC2, API Gateway, CloudWatch, RDS, and related cloud technologies.
• Experience evaluating and applying AI-assisted software development tools such as Kiro, Amazon Q, GitHub Copilot, Snowflake Cortex, or similar technologies.
• Understanding of AI/ML concepts and emerging capabilities within modern data and application platforms.
• Strong experience with Git-based source control, branching strategies, code review processes, and release management.
• Deep knowledge of CI/CD pipelines, Infrastructure as Code, DevOps practices, and automation frameworks.
• Experience implementing automated testing strategies, quality engineering practices, and performance testing approaches.
• Proven ability to lead technical design discussions and influence architecture decisions across teams.
• Strong analytical, problem-solving, debugging, and root-cause analysis skills.
• Ability to balance hands-on development responsibilities with technical leadership and mentoring.
• Strong communication and stakeholder management skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Demonstrated ownership, accountability, and commitment to delivering reliable, high-quality solutions.
• Passion for continuous learning, engineering excellence, innovation, automation, and AI-enabled software delivery.

Actual salary is determined based on the role, location, individual experience, skills, and other considerations.

We are an equal opportunity employer and value diversity at our company.