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A professional with 5+ years of experience in backend, integration, or platform engineering
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Srong in Java (primary) and Python (secondary)
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Experienced in designing, building, and maintaining microservices architectures
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Confident in the full API lifecycle — from design and implementation to deployment and support
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Skilled in building and consuming REST APIs
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Hands-on with event-driven integrations using Kafka, RabbitMQ, GraphQL, AWS SQS, or similar technologies
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Knowledgeable in event-driven architecture and asynchronous processing
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Experienced with MuleSoft (API development, integrations, connectivity, or advanced patterns)
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Familiar with AI-assisted coding tools such as Cursor, Windsurf, or Amp
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Aware of responsible AI practices, including data privacy, governance, and model evaluation
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Quick to learn and adopt new AI tools and integration technologies
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Experienced in MuleSoft automation or advanced MuleSoft design
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Capable of designing scalable, maintainable integration services and microservices
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Strong in integration patterns, messaging systems, and asynchronous workflows
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Able to design APIs that support complex business processes
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Effective in using AI tools to improve development speed and code quality
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Mindful of governance, security, and privacy considerations in integration solutions
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Strong in analytical thinking, problem-solving, and troubleshooting
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Able to collaborate effectively across engineering and platform teams
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Design, build, and maintain integration services and microservices using Java or Python, along with other modern open-source frameworks
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Develop scalable APIs and event-driven integrations using technologies such as Kafka, RabbitMQ, GraphQL, AWS SQS, and others
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Use AI-assisted coding tools (e.g., Cursor, Windsurf, Amp) to accelerate development and reduce delivery cycle time
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Evaluate and adopt emerging AI tools that enhance productivity, code quality, and operational efficiency
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Design and implement agentic integrations and AI-powered automation that improves business processes
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Apply responsible AI practices, including data privacy, governance, and model evaluation
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Work with event-driven architecture and asynchronous processing
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Work with modern integration platforms and microservices ecosystems
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Engage with event-driven architectures and advanced messaging technologies
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Leverage AI-assisted development tools and emerging productivity solutions
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Build enterprise-grade integrations using Java and Python
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Work in cloud-enabled, CI/CD-driven engineering environments