Senior Java API Engineer

AIDA projektai, MB; Asifabad; Presencial; INR 1.500.000 - 2.100.000; Jornada completa

Descripción de la vacante

AIDA projektai, MB is seeking a backend/integration engineer with 5+ years of experience in backend, integration, or platform engineering. Proficiency in Java and Python, microservices, REST APIs, and event-driven patterns with Kafka, RabbitMQ, GraphQL, and AWS SQS is essential.

Experience with MuleSoft, AI-assisted coding tools, and governance for privacy and security is valued. You will collaborate with cross-functional teams to design scalable integration services and modern API ecosystems.

Formación

• 5+ years of backend, integration, or platform engineering experience.
• Strong in Java (primary) and Python (secondary).
• Experience designing, building, and maintaining microservices architectures.
• Full API lifecycle design, implementation, deployment and support.
• Build and consume REST APIs and event-driven integrations with Kafka, RabbitMQ, GraphQL, AWS SQS.

Responsabilidades

• Design, build, and maintain integration services and microservices using Java or Python.
• Develop scalable APIs and event-driven integrations with Kafka, RabbitMQ, GraphQL, AWS SQS.
• Use AI-assisted coding tools to accelerate development and quality.
• Collaborate across engineering and platform teams to ensure governance, security and privacy.

Conocimientos

Java

Python

Microservices

REST APIs

Kafka

RabbitMQ

GraphQL

AWS SQS

MuleSoft

AI tools

Herramientas

MuleSoft

Cursor

Windsurf

Amp

Descripción del empleo

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

Recruitment Process:

• CV Screening: Applications are reviewed within 24 hours.
• Pre-Screening Interview: A brief Q/A session (Automated or with a Recruiter) designed to learn more about your experience related to the required job position.
• Automated Session (Recommended) – You can complete this session on your own at a time that is convenient for you. The questions and follow-ups are well-structured and designed to highlight your experience and provide detailed insights into your background. This option is recommended because it's usually more detailed and allows us to provide feedback from the hiring manager faster.
• Session with a Recruiter – You can also have the session with a recruiter. The questions are the same, but the discussion may be a bit less detailed, and feedback might take a little longer.
• Shortlisting: Qualified candidates are presented to the hiring manager for review.
• Formal Interviews: On-site 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.

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