Fullstack Integration Developer Vice President

For additional information, please review .- 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 OpenShift and solid understanding of Kubernetes (pods, deployments, services, etc.).

DevOps & Development Tools: Proficient in CI/CD pipelines, Git, Docker, and logging/monitoring/observability tools. AI-Assisted Development & Autonomous Software Engineering: Deep understanding and practical experience with AI-assisted development tools (e.g., Devin.ai, GitHub 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. 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 LangChain, LangGraph, 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 degree in computer engineering, computer science, information technology or equivalent experience.
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