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Lead Analyst-IT-Java Integrations

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Job Description - Lead Analyst-IT-Java Integrations

## What you\u2019ll do:\n\n\"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. \nThis 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.\" \n\n\"Key Responsibilities \n\u2022 Own end-to-end delivery accountability for Event-driven solutions implemented in Java/ J2EE, Anypoint platform, driving execution through managed delivery teams \n\u2022 Lead, manage, and develop integration delivery team, setting clear expectations, prioritizing work, and enabling consistent delivery outcomes \n\u2022 Define and enforce integration delivery standards, patterns, and reference architectures across Java/ Kafka, API Management, and AI-enabled integration capabilities \n\u2022 Drive delivery of event-driven, API-led \u0026 AI-led architectures, ensuring scalability, resilience, and reuse across product teams \n\u2022 Lead Integration modernization and migration efforts, coordinating teams to minimize business disruption \n\u2022 Partner with product teams, solution architects, Integration Architects, platform teams, security, and operations to align delivery execution with enterprise strategy and platform guardrails \n\u2022 Translate integration strategy into executable delivery roadmaps, release plans, and milestones for delivery teams \n\u2022 Establish delivery governance, quality controls, and risk management, holding teams accountable for outcomes \n\u2022 Ensure integration solutions are production-ready, operable, observable, and compliant with enterprise security and reliability standards \n\u2022 Mentor team members, build delivery capability, and foster a culture of engineering excellence and accountability \n\u2022 Provide delivery leadership during planning, solution design, and pre-execution phases, ensuring feasibility and execution readiness \n\u2022 Drive adoption of AI-assisted integration capabilities to improve delivery speed, quality, and operational resilience\" \n\n## Qualifications:\n\n\u2022 Bachelors degree in a technical discipline such as: B.E / BTech / MCA / Equivalent (EITC) or B.S. Comp Sci / Mathematics / Engineering / Equivalent \n\"\u2022 12+ years of relevant industry experience \n\u2022 8+ years experience in design, development, implementation of Java/ J2EE solutions, microservices architecture \u0026 APIs. \n\u2022 4+ years experience in managing and supporting development teams (MUST-HAVE) \n\u2022 4+ years hands-on experience in event streaming platforms like Kafka. \u2022 2+ years leading production support activities \n\u2022 4+ years experience in agile and dev-ops menthodology (MUST-HAVE) \n\u2022 2+ Experience deploying sollutions in cloud Technologies - AWS, GCP, Azure Appservices \u2022 Proficient in CI/CD tools, Jenkins, Git, Maven \u2022 Familiarity with AI development concepts and experience using AI/ ML tools is highly desirable. \n\n\u2022 8+ years of experience in Java/ J2EE tech stack, at least 2 years in event streaming technologies like Kafka.\n\n## Skills:\n\n\"\u2022 Experience with modern development methodologies such as Agile, Scrum, and DevOps \n\u2022 Strong hands-on experience with: \n-Java, Spring boot \u0026 related frameworks \n-API Managment tools like Apigee/ Mulesoft \n-Confluent Kafka \n-SOAP/ REST \n\u2022 Excellent communication, leadership, and problem-solving skills. \n\u2022 Experience with CI/ CD Tools like Git, Jenkins etc \u2022.Fundamental understanding of ServiceNow \u2022 Experience in deploying solutions on AWS or GCP or Azure. \n\u2022 Familiarity with AI development concepts and experience using AI/ ML tools is highly desirable. \" \n\"\u2022Excellent customer service and communication skills \n\u2022Excellent written and verbal presentation skills \n\u2022Ability to relate well with people at all levels of organization \n\u2022Demonstrates accountability, passion and ability to learn quickly \n\u2022Ability to lead complex tasks with no supervision \n\u2022Ability to deal with ambiguity and make decisions \n\u2022Excellent ethics and values \n\u2022Excellent problem solving skills \n\u2022Excellent analytical skills and with in depth understanding of business \u2022operations and of cross domain business processes \n\u2022Excellent technical analysis and architectural skills \n\u2022Ability to work and lead under stressful support environment \n\u2022Ability to work oncall shifts including outside regular working hours \"\n
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