Senior Java API Engineer

Adilabad - India

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

IF YOU ARE

A professional with 5 years of experience in backend integration or platform engineering
Srong in Java (primary) and Python (secondary)
Experienced in designing building and maintaining microservices architectures
Confident in the full API lifecycle from design and implementation to deployment and support
Skilled in building and consuming REST APIs
Hands-on with event-driven integrations using Kafka RabbitMQ GraphQL AWS SQS or similar technologies
Knowledgeable in event-driven architecture and asynchronous processing
Experienced with MuleSoft (API development integrations connectivity or advanced patterns)
Familiar with AI-assisted coding tools such as Cursor Windsurf or Amp
Aware of responsible AI practices including data privacy governance and model evaluation
Quick to learn and adopt new AI tools and integration technologies
Experienced in MuleSoft automation or advanced MuleSoft design
Capable of designing scalable maintainable integration services and microservices
Strong in integration patterns messaging systems and asynchronous workflows
Able to design APIs that support complex business processes
Effective in using AI tools to improve development speed and code quality
Mindful of governance security and privacy considerations in integration solutions
Strong in analytical thinking problem-solving and troubleshooting
Able to collaborate effectively across engineering and platform teams

AND YOU WANT TO

Design build and maintain integration services and microservices using Java or Python along with other modern open-source frameworks
Develop scalable APIs and event-driven integrations using technologies such as Kafka RabbitMQ GraphQL AWS SQS and others
Use AI-assisted coding tools (e.g. Cursor Windsurf Amp) to accelerate development and reduce delivery cycle time
Evaluate and adopt emerging AI tools that enhance productivity code quality and operational efficiency
Design and implement agentic integrations and AI-powered automation that improves business processes
Apply responsible AI practices including data privacy governance and model evaluation
Work with event-driven architecture and asynchronous processing
Work with modern integration platforms and microservices ecosystems
Engage with event-driven architectures and advanced messaging technologies
Leverage AI-assisted development tools and emerging productivity solutions
Build enterprise-grade integrations using Java and Python
Work in cloud-enabled CI/CD-driven engineering environments

Our Recruitment Process

CV Screening: Applications are reviewed within 24 hours.
Pre-Screening Interview: A brief AI-assistant or interviewer-led interview to assess experience and role suitability.
Shortlisting: Qualified candidates are presented to the hiring manager for review.
Formal Interviews: Online discussions with the hiring manager or project team with feedback provided within 1-2 weeks.
Offer and Onboarding: Successful candidates receive a formal offer and begin a structured onboarding process.

Information about the processing of your personal data is provided in our Privacy Policy which is available online at Privacy Policy.

IF YOU ARE A professional with 5 years of experience in backend integration or platform engineeringSrong in Java (primary) and Python (secondary)Experienced in designing building and maintaining microservices architecturesConfident in the full API lifecycle from design and implementation to deploym...

IF YOU ARE

A professional with 5 years of experience in backend integration or platform engineering
Srong in Java (primary) and Python (secondary)
Experienced in designing building and maintaining microservices architectures
Confident in the full API lifecycle from design and implementation to deployment and support
Skilled in building and consuming REST APIs
Hands-on with event-driven integrations using Kafka RabbitMQ GraphQL AWS SQS or similar technologies
Knowledgeable in event-driven architecture and asynchronous processing
Experienced with MuleSoft (API development integrations connectivity or advanced patterns)
Familiar with AI-assisted coding tools such as Cursor Windsurf or Amp
Aware of responsible AI practices including data privacy governance and model evaluation
Quick to learn and adopt new AI tools and integration technologies
Experienced in MuleSoft automation or advanced MuleSoft design
Capable of designing scalable maintainable integration services and microservices
Strong in integration patterns messaging systems and asynchronous workflows
Able to design APIs that support complex business processes
Effective in using AI tools to improve development speed and code quality
Mindful of governance security and privacy considerations in integration solutions
Strong in analytical thinking problem-solving and troubleshooting
Able to collaborate effectively across engineering and platform teams

AND YOU WANT TO

Design build and maintain integration services and microservices using Java or Python along with other modern open-source frameworks
Develop scalable APIs and event-driven integrations using technologies such as Kafka RabbitMQ GraphQL AWS SQS and others
Use AI-assisted coding tools (e.g. Cursor Windsurf Amp) to accelerate development and reduce delivery cycle time
Evaluate and adopt emerging AI tools that enhance productivity code quality and operational efficiency
Design and implement agentic integrations and AI-powered automation that improves business processes
Apply responsible AI practices including data privacy governance and model evaluation
Work with event-driven architecture and asynchronous processing
Work with modern integration platforms and microservices ecosystems
Engage with event-driven architectures and advanced messaging technologies
Leverage AI-assisted development tools and emerging productivity solutions
Build enterprise-grade integrations using Java and Python
Work in cloud-enabled CI/CD-driven engineering environments

Our Recruitment Process

CV Screening: Applications are reviewed within 24 hours.
Pre-Screening Interview: A brief AI-assistant or interviewer-led interview to assess experience and role suitability.
Shortlisting: Qualified candidates are presented to the hiring manager for review.
Formal Interviews: Online discussions with the hiring manager or project team with feedback provided within 1-2 weeks.
Offer and Onboarding: Successful candidates receive a formal offer and begin a structured onboarding process.

Information about the processing of your personal data is provided in our Privacy Policy which is available online at Privacy Policy.