Senior Java API Engineer (Asifabad)

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
- Robust 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. Apply on Kit Job: kitjob.in/job/4lxyge