Lead Analyst-IT-Java Integrations

"The Java Integration Lead is responsible for the end-to-end delivery, execution excellence, and operational maturity of robust Java-based solutions, driving event-driven integrations, and leading enterprise integration initiatives with MuleSoft and Kafka platforms. This role leads delivery through high-performing integration teams, ensuring scalable, secure, and reliable solutions across global product teams. The lead defines delivery standards, modernizes legacy middleware, and drives event-driven, API-first, and AI-enabled integration solutions, balancing hands-on technical leadership with strong people and execution management. This individual will servce as the primary point of contact and subject matter expert, ensuring integrations are delivered on time, within budget, and aligned with standards.
This individual must have strong knowledge of Java/ J2EE technology stack, microservices, API-led architecture, Event-driven architecture, AI-led architecture, and the curiosity and drive to continuously improve solutions. The ideal candidate is highly self-motivated, communicates effectively, and can guide teams through ambiguity. They must be able to translate complex technical concepts into clear, logical components that business and technical partners can easily understand."

"Key Responsibilities
• Own end-to-end delivery accountability for Event-driven solutions implemented in Java/ J2EE, Anypoint platform, driving execution through managed delivery teams
• Lead, manage, and develop integration delivery team, setting clear expectations, prioritizing work, and enabling consistent delivery outcomes
• Define and enforce integration delivery standards, patterns, and reference architectures across Java/ Kafka, API Management, and AI-enabled integration capabilities
• Drive delivery of event-driven, API-led & AI-led architectures, ensuring scalability, resilience, and reuse across product teams
• Lead Integration modernization and migration efforts, coordinating teams to minimize business disruption
• Partner with product teams, solution architects, Integration Architects, platform teams, security, and operations to align delivery execution with enterprise strategy and platform guardrails
• Translate integration strategy into executable delivery roadmaps, release plans, and milestones for delivery teams
• Establish delivery governance, quality controls, and risk management, holding teams accountable for outcomes
• Ensure integration solutions are production-ready, operable, observable, and compliant with enterprise security and reliability standards
• Mentor team members, build delivery capability, and foster a culture of engineering excellence and accountability
• Provide delivery leadership during planning, solution design, and pre-execution phases, ensuring feasibility and execution readiness
• Drive adoption of AI-assisted integration capabilities to improve delivery speed, quality, and operational resilience"

• Bachelors degree in a technical discipline such as: B.E / BTech / MCA / Equivalent (EITC) or B.S. Comp Sci / Mathematics / Engineering / Equivalent
"• 12+ years of relevant industry experience
• 8+ years experience in design, development, implementation of Java/ J2EE solutions, microservices architecture & APIs.
• 4+ years experience in managing and supporting development teams (MUST-HAVE)
• 4+ years hands-on experience in event streaming platforms like Kafka. • 2+ years leading production support activities
• 4+ years experience in agile and dev-ops menthodology (MUST-HAVE)
• 2+ Experience deploying sollutions in cloud Technologies - AWS, GCP, Azure Appservices • Proficient in CI/CD tools, Jenkins, Git, Maven • Familiarity with AI development concepts and experience using AI/ ML tools is highly desirable. 

• 8+ years of experience in Java/ J2EE tech stack, at least 2 years in event streaming technologies like Kafka.

"• Experience with modern development methodologies such as Agile, Scrum, and DevOps 
• Strong hands-on experience with:
-Java, Spring boot & related frameworks 
-API Managment tools like Apigee/ Mulesoft
-Confluent Kafka 
-SOAP/ REST
• Excellent communication, leadership, and problem-solving skills.
• Experience with CI/ CD Tools like Git, Jenkins etc •.Fundamental understanding of ServiceNow • Experience in deploying solutions on AWS or GCP or Azure.
• Familiarity with AI development concepts and experience using AI/ ML tools is highly desirable. "
"•Excellent customer service and communication skills
•Excellent written and verbal presentation skills
•Ability to relate well with people at all levels of organization
•Demonstrates accountability, passion and ability to learn quickly
•Ability to lead complex tasks with no supervision
•Ability to deal with ambiguity and make decisions
•Excellent ethics and values
•Excellent problem solving skills
•Excellent analytical skills and with in depth understanding of business •operations and of cross domain business processes
•Excellent technical analysis and architectural skills
•Ability to work and lead under stressful support environment 
•Ability to work oncall shifts including outside regular working hours "