Job Title

Design, build, and maintain scalable integration services and microservices using Java (primary) and Python (secondary).Develop and manage the full API lifecycle, including REST APIs and event-driven integrations.Build event-driven and asynchronous integrations using technologies such as Kafka, RabbitMQ, GraphQL, and AWS SQS.Implement AI-assisted coding tools (e.g., Cursor, Windsurf, Amp) to accelerate development and reduce delivery cycle time.Evaluate and adopt emerging AI tools to improve developer productivity, code quality, and operational efficiency.Design and implement agentic integrations and AI-powered automation to enhance and streamline business processes.Contribute to integration architecture decisions with a focus on scalability, reliability, and performance.Ensure integrations follow responsible AI practices, including data privacy, governance, and model evaluation standards.Qualifications6+ years of experience as a Software Engineer.Strong hands-on experience with Java and working knowledge of Python.Solid understanding and practical experience with Microservices Architecture.Proven experience managing the end-to-end API lifecycle.Required SkillsHands-on experience with REST APIs Event-driven architecture & asynchronous processingMessaging and integration tools: Kafka, RabbitMQ, GraphQL, AWS SQSExperience with MuleSoft, including API development, integrations, automation, or advanced design is a must.Familiarity with AI-assisted development tools (Cursor, Windsurf, Amp).Understanding of responsible AI, data privacy, and governance.Strong ability to learn, adapt, and adopt new AI and integration technologies quickly.Preferred SkillsExperience with agentic integrations or AI-driven automation.Exposure to open-source integration frameworks.Familiarity with emerging AI productivity tools.Experience with Cloud and CI/CD pipelines (AWS preferred).