Senior integration engineer

Responsibilities

• 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, Rabbit MQ, Graph QL, 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.

Qualifications

• 6+ 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 Skills

• Hands-on experience with REST APIs Event-driven architecture & asynchronous processing
• Messaging and integration tools: Kafka, Rabbit MQ, Graph QL, AWS SQS
• Experience with Mule Soft, 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 Skills

• Experience 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).