Job Description

Job Role: Java & Python Engineer

Experience: 6+years

Location: 100% Remote

Job Type: Fulltime, Permanent

NOTE: Need Immediate Joiners

What You'll Do:

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.

What You'll Need:

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.

Hands-on experience with:

REST APIs


Event-driven architecture & asynchronous processing


Messaging and integration tools: Kafka, RabbitMQ, GraphQL, AWS SQS


Experience with MuleSoft, including API development, integrations, automation, or advanced design.


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.

Nice to Have

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).