Design and develop robust, scalable RESTful services using Java and Spring Boot

Implement microservices-based systems deployed on AWS (EKS / Lambda)

Develop and maintain event-driven architectures using Kafka, MQ, or enterprise messaging systems (EMS)

Integrate and optimize AWS services including S3, SQS, SNS, Textract, DynamoDB, and DocumentDB

Build and support document processing pipelines involving PDFs, images, and OCR workflows

Design and implement CI/CD pipelines using Harness, ensuring secure, reliable, and automated deployments

Ensure system reliability through observability, monitoring, and operational excellence practices

Collaborate with security and platform teams to address SAST findings and vulnerability remediation (e.g., Wiz, Veracode)

Contribute to engineering standards, design reviews, and mentoring initiatives

Strong expertise in Java and Spring Boot ecosystem

Proven experience with AWS cloud-native architectures (EKS, Lambda, S3, IAM, CloudWatch, SQS/SNS)

Deep understanding of microservices and distributed system design

Strong experience with event-driven architectures (Kafka / MQ / EMS or equivalent)

Proficiency with NoSQL databases, including DynamoDB, MongoDB, or DocumentDB

Hands-on experience with CI/CD pipelines, preferably using Harness

Strong grounding in system design, scalability, and performance engineering

Experience working in large-scale production environments with real-world data systems

Familiarity with secure software development practices and vulnerability remediation workflows

Experience with AWS Textract or document AI / OCR-based systems

Exposure to Kubernetes (EKS) in production environments

Experience with Python

Familiarity with AI-assisted development tools (e.g., GitHub Copilot) or AI integrations (e.g., OpenAI APIs)

Experience with performance and load testing frameworks (k6, JMeter)

Strong understanding of secure SDLC practices and enterprise security tooling