Applications Development Group Manager

The Applications Development Group Manager is a senior engineering leadership position responsible for directing and executing strategic application delivery, system architecture, and technology transformation across multiple engineering teams.

This role requires a visionary, hands-on Engineering Leader who combines deep technical craftsmanship in modern Java/Spring Boot microservices with proven experience managing and scaling multiple Agile Scrum teams. Beyond traditional software delivery, the candidate must champion engineering modernization, robust solution architecture, and AI-driven transformation—actively identifying opportunities to embed Agentic AI and intelligent automation into software engineering life cycles, operational tasks, and repetitive workflows to drive exponential velocity and quality improvements.

Key Responsibilities

• Lead, mentor, and manage multiple cross-functional Scrum teams (Software Engineers, Solution Architects, and QA/Automation Engineers) across globally distributed locations.

• Drive end-to-end delivery accountability across concurrent Books of Work (BOW), ensuring clear milestones, proactive dependency management, and on-time business outcomes.

• Champion engineering excellence, Agile maturity, and continuous integration/deployment (CI/CD) best practices across all pods under management.

• Conduct personnel management responsibilities including technical coaching, talent acquisition, career development, performance evaluations, and team capacity planning.

• Serve as the senior technical authority for enterprise-scale distributed systems, validating and steering high-level solution designs and low-level architectural patterns.

• Demonstrate active hands-on technical proficiency in Java 21, Spring Boot 4.x, Cloud-Native Microservices
  , and distributed persistence/messaging architectures.

• Establish and enforce rigorous coding standards, design patterns, automated test coverage gates, and continuous code quality reviews (Sonar Qube, Snyk).

• Drive architectural modernization initiatives, transitioning legacy frameworks into modular, scalable, event-driven, and containerized services (Docker, Open Shift/Kubernetes).

• Actively drive the adoption of Generative AI, Agentic AI, and intelligent autonomous workflows across the development and operational lifecycle.

• Identify repeat, recurring, and boilerplate engineering/operational tasks (e.g., automated code reviews, test generation, schema migrations, log analytics, incident triage) and architect multi-agent or prompt-engineered solutions to automate them.

• Foster a culture of AI-assisted engineering and experimentation within teams while strictly adhering to enterprise AI guardrails, security standards, and governance policies.

• Oversee the architecture and optimization of high-throughput data and reporting pipelines leveraging relational engines (
  Oracle 19c / OraaS
  ) and distributed document stores (
  MongoDB 7.x/8.x / MaaS
  ).

• Design and govern high-volume event streaming and messaging fabrics utilizing Apache Kafka and IBM MQ
  .

• Ensure non-functional requirements (NFRs) such as high availability, fault tolerance, active-active failover, disaster recovery (RTO/RPO), and low-latency response times are rigorously met.

• Influence, align, and negotiate with senior business stakeholders, Product Owners, Enterprise Architecture, and Operations partners to define product roadmaps and strategic technical priorities.

• Appropriately assess risk when business and architectural decisions are made, demonstrating…