Team Lead API Engineer

AIDA projektai, MB; Asifabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

AIDA projektai, MB is seeking an experienced integration engineer to design, build, and maintain scalable integration services in Java or Python. You will work on microservices, REST APIs, and event-driven pipelines using Kafka, RabbitMQ, GraphQL, and AWS SQS, in a cloud/CI/CD environment.

You will apply AI-assisted coding tools and responsible AI practices, explore agentic integrations, and help modernize enterprise integrations with a focus on reliability and performance.

Qualifications

• 7+ years of Java experience with Python as a secondary language.
• Hands-on experience with microservices architecture and end-to-end API lifecycle.
• Delivering REST APIs and event-driven integrations (Kafka, RabbitMQ, GraphQL, AWS SQS).
• Working with event-driven architecture and asynchronous processing.
• Possessing MuleSoft experience (API development, integrations, or connectivity).
• Applying MuleSoft automation or advanced MuleSoft design patterns.
• Using AI-assisted coding tools (Cursor, Windsurf, Amp).
• Practicing responsible AI, including data privacy and governance.
• Learning and adapting quickly to new AI and integration technologies.
• Exploring agentic integrations / AI automation.
• Leveraging open-source integration frameworks and emerging AI productivity tools.
• Operating in cloud & CI/CD environments (AWS preferred).
• Having GraphQL exposure with the ability to learn and build as needed.

Responsibilities

• Design, build, and maintain integration services and microservices using Java or Python, plus relevant open-source frameworks.
• Develop scalable APIs and event-driven integrations with Kafka, RabbitMQ, GraphQL, AWS SQS, etc.
• Leverage AI-assisted coding tools (e.g., Cursor, Windsurf, Amp) to accelerate development and reduce 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 automations that enhance business processes.
• Apply responsible AI practices, including data privacy, governance, and model evaluation.
• Work with event-driven architectures and asynchronous processing in production.

Skills

Java

Python

Microservices

REST APIs

Kafka

RabbitMQ

GraphQL

AWS SQS

MuleSoft

AI-assisted development

CI/CD

Tools

MuleSoft

Apache Kafka

RabbitMQ

GraphQL

AWS SQS

Cursor

Windsurf

Amp

Job description

Bringing 7+ years of Java experience and several years of Python as a secondary language

Understanding microservices architecture with hands-on experience building microservices and managing the full end-to-end API lifecycle

Delivering REST APIs and implementing event-driven integrations (Kafka, RabbitMQ, GraphQL, AWS SQS)

Working with event-driven architecture and asynchronous processing.

Possessing MuleSoft experience (API development, integrations, or connectivity)

Applying MuleSoft automation or advanced MuleSoft design patterns.

Using AI-assisted coding tools (Cursor, Windsurf, Amp)

Practicing responsible AI, including data privacy and governance

Learning and adapting quickly to new AI and integration technologies

Exploring agentic integrations / AI automation

Leveraging open-source integration frameworks and emerging AI productivity tools

Operating in cloud & CI/CD environments (AWS preferred)

Having GraphQL exposure with the ability to learn and build as needed

AND YOU WANT TO

Design, build, and maintain integration services and microservices using Java or Python, plus relevant open-source frameworks

Develop scalable APIs and event-driven integrations with Kafka, RabbitMQ, GraphQL, AWS SQS, etc.

Leverage AI-assisted coding tools (e.g., Cursor, Windsurf, Amp) to accelerate development and reduce 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 automations that enhance business processes

Apply responsible AI practices, including data privacy, governance, and model evaluation

Work with event-driven architectures and asynchronous processing in production

TOGETHER WE WILL

Modernize enterprise integrations using microservices and event-driven architectures

Accelerate delivery through AI-assisted development and intelligent automation

Improve scalability, reliability, and maintainability of integration services

Enable responsible and effective use of AI in integration engineering

Build a future-ready integration platform that supports evolving business needs

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