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Develop and support production-grade Java full-stack applications in a financial services environment. Responsibilities include system and feature design, cloud and container deployment, automated testing, DevOps, monitoring and observability, production support automation, incident and root-cause management, operational controls, and collaboration with development, infrastructure, and operations teams. The role also requires technical leadership and awareness of secure development, regulatory controls, auditability, data protection, and segregation of duties.

Leads production application support for critical Digital Assets platforms, ensuring stability, resiliency, availability, and operational readiness. Coordinates major incident response, drives root-cause remediation and automation, assesses release and infrastructure risks, and supports disaster recovery, business continuity, capacity planning, monitoring, and operational standards. Partners with engineering, infrastructure, security, product, business, and global support teams to provide reliable 24x7 coverage in a regulated financial-services environment.

Supports critical financial-services production platforms by monitoring system health, coordinating major incident response, troubleshooting complex issues, assessing release and infrastructure risks, and improving reliability through automation and observability. The role contributes to disaster recovery, business continuity, capacity planning, runbooks, operational standards, and 24x7 global support for client-facing digital asset services.

Leads application development for model risk management and compliance solutions. Designs architectures, automates model validation and controls testing, and guides agile engineering teams. Partners with risk, modeling, compliance, data, product, and technology stakeholders to deliver resilient, auditable solutions. Drives AI-first automation, MLOps/LLMOps, engineering standards, governance alignment, talent development, and strategic execution while maintaining enterprise control and data standards.

Supports reconciliation applications in a production environment by triaging incidents, monitoring systems, conducting root cause analysis, managing ITIL processes, and participating in releases, maintenance, disaster recovery testing, and failover activities. The role also enhances monitoring and automation, supports IPA workflows, coordinates with technical teams, and communicates incident status to stakeholders.

Provide end-to-end production support for BI applications across QA, UAT, and production. Monitor application health, triage incidents, perform root-cause analysis, coordinate with infrastructure, database, and application teams, and support releases, deployments, patching, migrations, disaster recovery drills, and data center rotations. Create business reports, provide rotational on-call support, and automate monitoring, recovery, deployment validation, and operational workflows using scripting, CI/CD, observability tools, and AI-driven automation.

Designs and maintains scalable data processing solutions, distributed Spark pipelines, transformation workflows, and analytical systems. The role works with large datasets, evaluates statistical and model outcomes, supports entity resolution, and industrializes data products within enterprise systems. Responsibilities include improving data quality, performance, resiliency, testing, deployment, documentation, and release management while collaborating with architects, engineers, scientists, and business stakeholders in an agile environment.

Leads the design, development, testing, and enhancement of scalable full-stack applications. Collaborates with cross-functional teams on features, architecture, performance, and strategic technology direction. Conducts code reviews, mentors junior engineers, resolves technical issues, and promotes engineering best practices and continuous improvement.

Design, develop, and support high-performance financial risk management applications using Python and PySpark. Build microservices, APIs, risk analytics engines, scenario analysis, stress testing, and real-time market data integrations. Collaborate with risk managers, quantitative analysts, and front-office stakeholders. Implement messaging architectures, DevOps and CI/CD processes, monitoring, automated testing, and deployment automation. Troubleshoot production issues, optimize performance, and ensure regulatory and security compliance across cloud-native systems.

Leads the design, development, testing, and debugging of scalable full-stack applications. Collaborates with cross-functional teams on features, architecture, system performance, and user experience. Conducts code reviews, mentors junior engineers, promotes engineering quality, and contributes to BNY’s technology strategy while evaluating emerging technologies.