IF YOU ARE

- A skilled 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.

📌 Senior Java API Engineer (Asifabad)
🏢 Important Business
📍 Asifabad