Senior Java API Engineer

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