Senior Manager, Application Development (Java, APIs, Microservices, AWS, AI)

We are seeking a highly motivated and experienced Senior Manager, Application Development to lead the design, development, and delivery of enterprise-scale applications, APIs, integrations, and AI-enabled solutions supporting key business capabilities. This role will be responsible for managing high-performing engineering teams while driving modernization initiatives across cloud-native platforms, microservices architectures, and AI-powered solutions.

The ideal candidate brings deep expertise in AWS cloud technologies, API and integration delivery, microservices architecture, AI-assisted software development, and healthcare technology platforms. This leader will oversee end-to-end solution delivery, provide technical direction to engineering teams, and partner closely with business, architecture, product, and operations stakeholders to build scalable, secure, and innovative solutions.

This role requires a balance of people leadership, technical leadership, strategic planning, and execution excellence to deliver transformational capabilities that improve customer experiences, operational efficiency, and business outcomes.

Key Responsibilities

Engineering Leadership

• Lead, mentor, and develop high-performing engineering teams focused on application development, APIs, integrations, and cloud solutions.
• Foster a culture of innovation, accountability, continuous learning, and engineering excellence.
• Drive workforce planning, talent development, performance management, and succession planning.

Application Delivery & Execution

• Own end-to-end delivery of enterprise applications, APIs, integrations, and modernization initiatives.
• Partner with business, product, architecture, and operations teams to deliver solutions aligned with strategic objectives.
• Manage project scope, timelines, budgets, risks, dependencies, and quality outcomes.

Cloud & Microservices Architecture

• Lead development of cloud-native applications on AWS using modern architecture patterns.
• Drive adoption of microservices, event-driven architecture, reusable services, and API-first design principles.
• Ensure solutions meet enterprise standards for scalability, security, availability, and performance.

API & Integration Leadership

• Oversee the design, development, and governance of enterprise APIs and integration platforms.
• Establish standards for API lifecycle management, security, documentation, and reuse.
• Deliver scalable integrations across internal, external, and third-party systems.

AI Engineering & Intelligent Automation

• Drive adoption of AI-assisted software development tools such as Claude Code, GitHub Copilot, Cursor AI, Amazon Q, and similar technologies.
• Lead development of AI-powered applications, AI agents, and intelligent workflow automation solutions.
• Promote responsible AI practices, governance, and security within engineering teams.

Data & Technology Management

• Oversee application data architecture leveraging both SQL and NoSQL technologies.
• Ensure effective implementation of data integration, analytics, and event-driven solutions.
• Collaborate with enterprise architecture teams to define technology roadmaps and modernization strategies.

Engineering Excellence

• Champion Agile, DevOps, DevSecOps, CI/CD, quality engineering, and observability practices.
• Drive continuous improvement in software delivery, operational efficiency, and customer experience.
• Ensure compliance with healthcare industry regulations, including HIPAA and CMS requirements.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
• 10+ years of progressive software engineering and application development experience.
• 5+ years of technical leadership and people management experience.
• Proven experience leading distributed engineering teams delivering enterprise-scale software solutions.
• Strong experience designing and implementing cloud-native applications on AWS.
• Deep experience with microservices architecture and domain-driven design.
• Proven experience delivering large-scale API and integration programs.
• Strong knowledge of REST APIs, API Gateway technologies, OpenAPI/Swagger, and API lifecycle management.
• Experience developing applications using Java, Spring Boot, Python, Node.js, or similar modern platforms.
• Experience building and scaling enterprise integrations and event-driven architectures.
• Experience working with SQL and NoSQL database technologies.
• Hands-on experience with AI-assisted coding platforms such as Claude Code, GitHub Copilot, Cursor AI, Amazon Q, or similar tools.
• Experience implementing AI agents and agentic workflows integrated with enterprise applications.
• Strong understanding of Agile delivery methodologies and software engineering best practices.