Jobs at The Depository Trust & Clearing Corporation (DTCC)

Develop and support scalable Java full-stack applications using Spring, Angular, REST APIs, microservices, databases, and cloud-native technologies. Translate business requirements into software designs, write unit tests, conduct code reviews, tune performance, support production environments, and contribute to CI/CD, Agile ceremonies, documentation, and continuous improvement. Collaborate with analysts, infrastructure teams, architects, subject matter experts, and clients while applying risk and control processes.

Develop, test, document, and support scalable software applications for DTCC’s Global Trade Repository platform. Collaborate within Agile teams to translate requirements into robust solutions, contribute to technical designs, follow coding standards, maintain unit tests, support continuous integration and delivery, and manage risk and controls. The role requires Java, Spring, Snowflake, AWS, Unix, and middleware experience, with exposure to Amazon Q and Amazon Kiro.

Provides operational and engineering support for mission-critical databases across development, testing, production, and disaster recovery environments. Responsibilities include Oracle database administration, lifecycle management, performance tuning, backup and recovery, high availability, security, monitoring, automation, incident response, deployments, and 24x7 L2 support. The role also supports PostgreSQL, SQL Server, AWS database services, and cross-functional infrastructure and cybersecurity initiatives.

Develop, enhance, test, deploy, and support full-stack software applications. Apply expertise in programming, databases, secure coding, design patterns, documentation, and data security. Collaborate with architects, product managers, project teams, and end users to solve complex business problems. Research and adopt new technologies while supporting risk controls, data retention, and recovery requirements.

Supports and administers middleware platforms including Tomcat, WebSphere, Liberty, Kafka, IBM BPM, and IBM MQ in Linux environments. Responsibilities include installation, configuration, troubleshooting, performance tuning, security patching, access management, monitoring, high availability, disaster recovery, application integration, and production support across development through production environments. The role also follows ITIL and ITSM processes, coordinates with vendors, and participates in 24/7 operational coverage.

Administer and optimize Confluent Kafka infrastructure, including cluster management, performance monitoring, security, integrations, upgrades, patching, disaster recovery, topic administration, troubleshooting, and documentation. The role supports reliable data flows and business continuity while collaborating with development and cross-functional teams.

Design, develop, execute, and maintain automated tests across the delivery lifecycle. Validate functionality, APIs, and data-intensive workflows (XML/CSV), maintain traceability from user stories to scripts, integrate tests into CI/CD, collaborate with teams to troubleshoot and improve software quality, and align risk and control processes.

The role involves designing, developing, and executing automated test scripts for middleware platforms, collaborating with teams, and ensuring quality in a CI/CD environment.

Support enterprise PKI and Certificate Lifecycle Management platforms, including certificate issuance, renewal, revocation, monitoring, automation, troubleshooting, and compliance. Maintain Certificate Authorities, HSMs, and cryptographic services; assist application and infrastructure teams with certificate onboarding; participate in disaster recovery, upgrades, audits, and documentation. Collaborate with cybersecurity, cloud, infrastructure, and application teams to improve secure certificate management practices.

Validate non-functional resiliency requirements by designing, executing, and automating performance, scalability, and stress tests. Build and maintain JMeter scripts, BlazeMeter test runs, and Jenkins/Groovy CI/CD pipelines. Analyze results, identify bottlenecks, recommend fixes, and integrate testing into delivery pipelines while collaborating with development teams and following performance engineering standards.

Develop, test, document, deploy, and support Java applications using JavaScript, Spring Boot, REST APIs, SQL, cloud services, and DevOps tools. Responsibilities include creating unit tests, contributing to technical designs, maintaining documentation, providing production support, following software standards, participating in Agile SDLC activities, and improving continuous integration and delivery practices while managing technology risks.

Develop, test, document, deploy, and support software applications using Snowflake technologies and SQL. Design application components, create unit tests, follow coding and design standards, and participate in SDLC and Agile practices. Collaborate with architects, product managers, subject matter experts, and end users. Contribute to CI/CD improvements, production support, risk controls, and continuous process improvement while using AWS, DevOps, scripting, and AI tools.

Develop, deploy, and support software and data-quality solutions using Oracle, Snowflake, SQL, and PL/SQL. Optimize data-processing workflows, manage cloud data warehouse architecture, schedule jobs, and apply DevOps and CI/CD practices. Collaborate with product management, application development, DevOps, and other technical teams while participating in design discussions and owning tasks through completion. The role also involves data warehouse modeling, Agile development, AI-assisted tools, and geographically distributed teamwork.

Lead enterprise Agentic AI and data architecture, including multi-agent systems, RAG platforms, AI governance, MLOps, cloud AI integrations, and scalable data architectures. Establish standards for model lifecycle management, security, evaluation, monitoring, and responsible AI. Mentor technical teams, guide AI modernization initiatives, evaluate emerging technologies, and influence long-term enterprise AI, data, and analytics strategy.

Leads enterprise test strategy, automation frameworks, release quality, production readiness, and non-functional testing for data governance and metadata management platforms. Oversees testing across functional, integration, regression, performance, resiliency, and infrastructure areas; mentors test engineers; manages defects, risks, metrics, traceability, compliance, and stakeholder collaboration across Agile teams.

Designs and maintains automated testing solutions across UI, APIs, databases, and integration layers for a global post-trade platform. The role drives shift-left quality practices, validates Oracle-to-PostgreSQL migrations, integrates automated testing into CI/CD pipelines, applies AI-assisted testing tools, and mentors QA engineers. Responsibilities include testing functional and non-functional requirements in containerized microservices environments while establishing technical direction and automation best practices.

Architects, engineers, deploys, and supports Microsoft Intune and enterprise endpoint management platforms. Designs cloud-native, hybrid, and secure remote-management solutions; advances Zero Trust and cloud adoption; develops architecture, governance, and operational documentation; and provides advanced escalation support. Partners with infrastructure, identity, networking, security, vendors, and business stakeholders to deliver technology roadmaps and reliable services. Mentors engineers and support staff while leading initiatives and continuous improvement.

Leads software test automation across the delivery lifecycle, including designing frameworks, developing and maintaining automated functional and non-functional tests, API testing, and integrating continuous testing into CI/CD pipelines. Maintains traceability between requirements and test cases, defines test data and environments, troubleshoots issues, validates security and privacy requirements, and collaborates with internal and external teams to improve software quality.

Provides production application support for critical financial-market applications. Responsibilities include incident resolution, root-cause prevention, monitoring automation, application deployments and upgrades, disaster recovery execution, audit responses, runbook maintenance, risk controls, and collaboration with development, infrastructure, vendors, and business teams. The role also supports production defects, minor enhancements, and application design and development activities.

The Lead Application Support Engineer role requires leading technical support for applications, diagnosing production issues, and ensuring operational integrity across diverse platforms while fostering collaboration between development and operational teams.