Fullstack Integration Developer Vice President

The  Applications Development Technology Lead Analyst  is a senior-level role responsible for leading the design, implementation, and enhancement of application systems and programs. This position drives systems analysis and programming activities, ensuring technical excellence and strategic alignment.

Key Responsibilities:

Technical Leadership & Architecture:
Provide expert guidance in application design, setting coding standards, debugging, and implementation. Deliver in-depth analysis and innovative solutions for complex system challenges.

Cross-Functional Collaboration:

Partner with management, Dev Ops, platform, security, and infrastructure teams to integrate functions, define enhancements for new products, and effectively communicate with stakeholders and vendors.

Project Management & Problem Solving:
Lead and manage high-impact projects, resolving complex business and system issues. Develop a comprehensive understanding of business and infrastructure integration.

Mentorship & Team Development:
Coach and advise mid-level developers, allocating work and fostering skill development.

Risk Management & Compliance:
Assess and mitigate risks, ensuring compliance with regulations, safeguarding the firm's reputation, and adhering to ethical practices. Transparently manage and report control issues.

Qualifications:

Experience:

6+ years of progressive experience in system analysis, programming, and designing/developing large-scale enterprise applications.

5+ years in enterprise integration, middleware, and distributed systems.

Proven ability to lead and manage successful projects; a Subject Matter Expert (SME) in at least one application development area.

Exceptional problem-solving, adaptability, and clear communication skills.

Core Technical Skills (Required):

Enterprise Integration & Middleware:
Deep expertise in Red Hat/Apache Camel, Spring Framework (Boot, Integration, MVC), IBM MQ/JMS, RESTful APIs, SOAP, and event-driven architectures.

Full-Stack Development:
Strong Java expertise, full-stack development experience, working knowledge of Oracle Database, and proficiency in modern frontend technologies (HTML, CSS, JavaScript, React/Angular/Vue).

Container Orchestration & Cloud Platforms:
Hands-on experience with Open Shift and solid understanding of Kubernetes (pods, deployments, services, etc.).

Dev Ops & Development Tools:
Proficient in CI/CD pipelines, Git, Docker, and logging/monitoring/observability tools.

AI & Modern Development Capabilities (Required):

AI-Assisted Development & Autonomous Software Engineering:
Deep understanding and practical experience with AI-assisted development tools (e.g., Devin.ai, Git Hub Copilot, OpenAI Codex, Claude Code), including autonomous software engineering agents.

Agentic AI Concepts:
Extensive hands-on experience with Agentic AI, autonomous development workflows, AI-assisted debugging/testing, end-to-end task execution by AI agents, human-AI collaboration patterns, and agent orchestration.

Generative AI Exposure (Recommended):

Gen-AI Full-Stack Development:

Experience with Python and Java, backend frameworks (Spring Boot/Core, Flask/FastAPI), modern JavaScript frontend frameworks (React, Angular, Vue), and designing scalable, cloud-native applications.

Gen-AI Concepts & Frameworks:
Exposure to LLMs, prompt engineering, agent workflows, vector search, and familiarity with frameworks like Lang Chain, Lang Graph, MLflow. Experience integrating Gen-AI APIs (OpenAI, Gemini, Claude) is a plus.

Cloud Platforms:
Familiarity with AWS, GCP, or Azure.

Preferred

Skills:

Experience with cloud-native integration, microservices, Agile/Scrum.

Exposure to observability, tracing, performance tuning.

Strong documentation and technical design writing skills.

Education:

Bachelor's/University…