Java API Engineer

• *Senior Java API Engineer
• *Location: REMOTE (11 months Contract)

A professional with 8+ years of experience in backend, integration, or platform engineering

Strong 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