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Leads delivery of medium- and large-scale AWS digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, customer outcomes, and continuous improvement. Manages multi-functional teams of business analysts and engineers, develops product and service roadmaps, identifies business opportunities, resolves customer issues, and coaches, recruits, and develops staff. Requires strong program management, client service, agile delivery, business analysis, communication, and team leadership experience.

Designs, develops, tests, and deploys scalable full-stack web applications using Java, Spring, React, jQuery, and SQL. Builds secure, high-performance backend services and REST APIs, develops responsive front-end components, optimizes relational database queries, supports CI/CD and automated testing, participates in code reviews, and collaborates with product, data, and design teams. The role also includes mentoring junior developers and contributing to architecture and coding best practices.

Lead the architectural vision for cloud-based platform solutions, including scalable AWS infrastructure, integration flows, APIs, IAM governance, networking, observability, and CI/CD pipelines. Design secure, highly available platforms connecting RPA processes, enterprise applications, internal services, and downstream systems. Provide technical leadership, stakeholder management, architecture documentation, mentoring, and engineering best practices while supporting enterprise DevOps, platform engineering, and integration initiatives.

Lead design and implementation of enterprise healthcare integration solutions, define standards, architect EMPI and interoperability (HL7v2/v3, FHIR) implementations, mentor teams, run design workshops, and ensure scalable, secure enterprise integration across large public sector initiatives.

Lead the design and development of scalable backend systems and APIs for intelligent applications while guiding teams and ensuring clean architecture.

The Technical Program Manager will define AI project roadmaps, coordinate project delivery, lead cross-functional teams, manage stakeholder relationships, and ensure regulatory compliance in AI solutions, with a strong focus on innovation in AI and cloud technology.

Design, build, test, and deploy scalable full‑stack web applications using a Java-based stack. Develop backend services and APIs, create responsive front-end components, optimize database performance, support CI/CD and automated testing, participate in code reviews, and mentor junior developers while collaborating with cross-functional teams.

Designs and scales infrastructure for GenAI and LLM workloads across multi-GPU, cloud, and on-premise environments. Responsibilities include GPU profiling, distributed training optimization, Slurm and Kubernetes cluster management, NVIDIA stack enablement, GenAI pipeline deployment, infrastructure-as-code, CI/CD automation, self-service platform development, monitoring, and client-facing architecture leadership. The role mentors technical teams and collaborates with data science, MLOps, software engineering, and application teams.

Lead organizational change management for cloud migration: conduct impact analyses, develop strategic communications, design and deliver training and enablement, engage stakeholders, assess readiness, define adoption metrics, and report progress to program leadership.

Lead and manage large-scale, multi-pillar cloud transformation programs using SAFe. Own PI planning, program cadence, risk and dependency management, stakeholder communication, and coaching of Scrum Masters. Support backlog organization, change management, and Jira/Confluence administration to ensure value delivery.