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Leads an enterprise test automation transformation across applications and delivery teams. Establishes automation governance, standards, metrics, and quality engineering practices; drives migration from Selenium and Java to Playwright and TypeScript; integrates testing into CI/CD; and advances AI-enabled testing. Oversees UI, API, database, batch, and end-to-end automation, including Oracle, SQL/PLSQL, AutoSys, and Unix/Linux solutions. Manages distributed automation teams, mentors engineers, and reports automation maturity and quality KPIs to leadership.

Develops and implements new or revised application systems, managing analysis, design, testing, implementation, and user support. Evaluates complex application and business-process issues, recommends programming and security solutions, and advises technology stakeholders. The role also supports feasibility studies, estimates, risk assessment, operating standards, compliance, and mentoring junior analysts while working independently with limited supervision.

Lead development of complex Java and Spring Boot middleware applications, REST APIs, and microservices. Design and optimize Oracle and MongoDB integrations, improve CI/CD pipelines, troubleshoot production systems, mentor engineers, and contribute to technical roadmaps. Apply AI tools such as Devin, Copilot, Claude, Anti Gravity, and Codex for code generation, testing, security analysis, documentation, monitoring, risk assessment, and developer productivity.

Lead the design, development, and implementation of enterprise Java applications. Collaborate across technology teams, define system enhancements, solve complex technical issues, establish coding and testing standards, and ensure scalable, available, secure solutions. Develop APIs and microservices, mentor developers, assess risks, and support deployment using cloud-native technologies. The role requires expertise in Java, Spring, REST, Kafka, databases, testing, containers, CI/CD, and application architecture.

Develop and maintain scalable front-end applications for a cloud-native workflow and case management platform. Design, test, deploy, and improve software using React or Angular, JavaScript or TypeScript, containerized services, event-driven architecture, and DevOps practices. Participate in Agile/Scrum ceremonies, advocate for engineering quality, collaborate with product, QA, architecture, and operations stakeholders, and contribute to technical strategy and reusable solutions.

Develop and maintain enterprise finance and markets applications using Java and modern cloud-native architectures. Responsibilities include requirements analysis, design, coding, testing, implementation, production support, L3 troubleshooting, CI/CD improvements, security, architecture, code reviews, and global rollout coordination. The role partners with business and technology teams to deliver scalable, resilient applications using microservices, event-driven systems, Linux, databases, and Kubernetes-based cloud environments.

Leads one or more application development teams, overseeing personnel, technical solutions, application systems, delivery, budgets, resources, standards, risk, and regulatory compliance. Provides technical oversight across systems and applications, contributes to development strategy, reviews proposed solutions, and partners with business stakeholders. Requires strong Core Java, Spring, containerization, distributed messaging, CI/CD, testing, source control, and application development expertise, with financial services experience preferred.

Leads complex, enterprise-wide transformation programs from strategic definition through implementation. Advises senior financial-services leaders, designs operating models, establishes governance, manages risks, oversees technology delivery, and drives measurable business outcomes. Uses Agile, Lean, Six Sigma, and structured project-management methods while mentoring program managers and building organizational change capabilities.

Leads enterprise application engineering across multiple initiatives, defining architecture, technical strategy, and delivery standards. Designs scalable cloud-native applications using C#/.NET Core, microservices, Kafka, SQL, and AI-enabled development practices. Oversees engineering, QA, and product collaboration; drives security, resiliency, performance, CI/CD, observability, and production stability. Mentors engineers, guides architecture reviews, manages technical risks, ensures regulatory compliance, and serves as a senior technical advisor across the organization.

Develop and deploy AI applications using LLMs, prompt engineering, RAG, agentic workflows, and MCP. Build REST APIs, optimize SQL Server databases, integrate over 20 vendor tax applications, and provide L3 support. Lead application analysis, design, testing, implementation, security, risk assessment, and production support while advising stakeholders and mentoring junior analysts.