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). |
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