Java Angular Full Stack Development Lead - Vice President
Role Overview
The Full Stack Development Lead Analyst is a senior technical and people leadership role responsible for engineering excellence, architecture, and delivery across digital ecosystems.
The role combines architecture governance, hands-on technical mentoring, engineering team leadership, and stakeholder alignment.
The position focuses on Java, Angular, microservices, REST and GraphQL APIs, web and mobile platforms, and AI-enabled engineering.
Key Skills for This Role
Full Job Posting
Job Overview
The Full Stack Development Lead Analyst is a senior technical and people leadership role responsible for engineering excellence, architecture, and delivery across digital ecosystems.
The role combines architecture governance, hands-on technical mentoring, engineering team leadership, and stakeholder alignment.
The position focuses on Java, Angular, microservices, REST and GraphQL APIs, web and mobile platforms, and AI-enabled engineering.
Technical Leadership and Delivery
- Lead design, development, testing, and deployment of enterprise web and mobile applications using Java microservices and Angular.
- Drive architecture standards across microservices, distributed caching, event-driven systems, and cloud-native containers.
- Architect secure RESTful and GraphQL APIs and guide responsive, accessible web and mobile experiences.
- Manage roadmaps, technical debt, dependencies, and delivery risks across concurrent digital initiatives.
AI-Assisted Engineering
- Drive adoption of generative AI developer tools, AI coding assistants, automated test generation, and AI code review tools.
- Guide GenAI and LLM integrations, semantic search, vector retrieval, AI gateways, and prompt-driven microservices.
- Ensure AI-generated code and GenAI integrations follow security, privacy, compliance, guardrail, and intellectual property standards.
Architecture and Quality Governance
- Participate in design reviews, establish reusable patterns, and enforce enterprise architecture guidelines.
- Champion code reviews and quality governance across Java, Angular, mobile, and CI/CD components.
- Track engineering metrics covering delivery, testing, defects, AI adoption, performance, and design pattern adoption.
- Direct performance optimization across runtime, memory, concurrency, APIs, and database queries.
Team and Stakeholder Leadership
- Lead, coach, and empower software engineers, technical leads, and full-stack teams.
- Partner with business owners, program managers, and product managers on risks, trade-offs, and delivery priorities.
- Resolve blockers, manage escalations, and communicate technical risks to executive stakeholders.
- Safeguard firm assets and client data while enforcing information security, privacy, regulatory, and secure SDLC controls.
Experience and Education
- 10–12 or more years of progressive software development experience.
- At least 3–5 years in technical leadership or engineering management for full-stack, microservices, and mobile or web development.
- Bachelor’s or Master’s degree in a relevant computing or information technology discipline, or equivalent practical experience.
Core Technical Competencies
- Deep expertise in Java 17/21, Spring Boot, Spring Cloud, Hibernate/JPA, and microservices design patterns.
- Experience with distributed messaging, SQL and NoSQL databases, schema design, and query optimization.
- Advanced Angular, TypeScript, JavaScript, HTML5, SCSS/CSS3, and NgRx/RxJS proficiency.
- Experience designing and securing RESTful APIs, OpenAPI/Swagger, GraphQL, and API Gateway integrations.
- Understanding of mobile architecture, mobile security, and mobile API orchestration.
- Experience with Kubernetes, Red Hat OpenShift, Docker, cloud platforms, CI/CD, testing, and static analysis.
AI and Leadership Skills
- Practical exposure to AI-assisted development tools, automated testing tools, or AI code review tools is preferred.
- Familiarity with GenAI APIs, LLM endpoints, prompt engineering, RAG, AI gateways, or intelligent search is preferred.
- Awareness of AI governance, data privacy, and enterprise security guardrails is preferred.
- Strong matrix leadership, negotiation, diplomacy, executive presentation, roadmap planning, and technical depth are required.
Employment
- The source lists the position as full time.
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