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.
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).
Job Type: Full-time
Application Question(s):
What is your current CTC in Lakhs per annum?
What is your expected CTC in Lakhs per annum?
What is your notice period in days?
Work Location: Remote
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