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Participate in application development and maintenance, design and implement programming solutions, write and optimize SQL and scripts, troubleshoot data pipelines and jobs, consult with users, coach junior staff, assess security risks, and ensure compliance. Support ETL, job scheduling, data validation and recon processes in a financial services environment.

Lead end-to-end technical strategy and roadmap for a global cash & intraday liquidity platform. Design and operate highly available, multi-region distributed systems, embed AI-first tooling, ensure compliance and security, and build and grow a global engineering organization while staying hands-on in architecture and delivery.

Design, architect, and deploy production-grade generative and agentic AI systems (RAG, knowledge graphs, multi-agent orchestration). Build context engineering, retrieval, observability, and governance for scalable, grounded AI solutions; integrate with cloud infrastructure, container platforms, and CI/CD; mentor engineers and ensure responsible AI practices.

Lead design, development, and implementation of distributed application systems. Partner with management to define enhancements, resolve complex problems, enforce coding and testing standards, coach mid-level developers, and ensure solutions align with architecture, compliance, and business goals.

Lead and manage one or more applications development teams to design, build, and maintain Java/React applications, review technical solutions, oversee delivery, manage resources and budgets, enforce standards and compliance, and drive application strategy and cross-functional integration.

Lead application support for custody settlements, drive production readiness for client onboarding and migrations, enforce ITIL/SRE best practices, remediate stability risks, resolve incidents, partner with multiple technology and business teams, document system impacts, coach junior analysts, and improve observability and operational metrics across the mainframe application stack.

Lead technical QA efforts: design and maintain Selenium-based automation frameworks, validate ETL/data pipelines and dashboards, test UI/API/microservices, run performance tests, and implement scalable QA practices and test artifacts across data-processing platforms.

Lead automation and operations for infrastructure and software delivery: forecast and provision resources, build and maintain CI/CD pipelines, manage containers and orchestration, implement security and vulnerability remediation, configure monitoring/logging, automate manual processes, and collaborate with cross-functional teams to ensure reliable, scalable, and secure application deployments.

Lead and manage Applications Development teams to deliver application systems and programs. Provide technical oversight, review solutions, define strategies, allocate resources, manage budgets, ensure compliance and standards, convert requirements into designs and code, and mentor staff while driving delivery of APIs, distributed systems, and platform integrations.

Lead backend application design and development, solve complex system problems, define coding/testing standards, integrate systems, coach mid-level developers, and drive compliance while partnering with management on product and process enhancements.