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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.
Job Responsibility:
Provide expert guidance in application design, setting coding standards, debugging, and implementation
Deliver in-depth analysis and innovative solutions for complex system challenges
Partner with management, DevOps, platform, security, and infrastructure teams to integrate functions, define enhancements for new products, and effectively communicate with stakeholders and vendors
Lead and manage high-impact projects, resolving complex business and system issues
Develop a comprehensive understanding of business and infrastructure integration
Coach and advise mid-level developers, allocating work and fostering skill development
Assess and mitigate risks, ensuring compliance with regulations, safeguarding the firm's reputation, and adhering to ethical practices
Transparently manage and report control issues
Requirements:
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
Deep expertise in Red Hat/Apache Camel, Spring Framework (Boot, Integration, MVC), IBM MQ/JMS, RESTful APIs, SOAP, and event-driven architectures
Strong Java expertise, full-stack development experience, working knowledge of Oracle Database, and proficiency in modern frontend technologies (HTML, CSS, JavaScript, React/Angular/Vue)
Hands-on experience with OpenShift and solid understanding of Kubernetes (pods, deployments, services, etc.)
Proficient in CI/CD pipelines, Git, Docker, and logging/monitoring/observability tools
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
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
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
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
Familiarity with AWS, GCP, or Azure
Bachelor's/University degree in computer engineering, computer science, information technology or equivalent experience
Nice to have:
Experience with cloud-native integration, microservices, Agile/Scrum
Exposure to observability, tracing, performance tuning
Strong documentation and technical design writing skills