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Senior Backend Engineer (Java, Spring Boot, AWS)

Exclusive opportunity

Onsite

Senior Backend Engineer (Java, Spring Boot, AWS)

Luxoft

Senior Backend Engineer (Java, Spring Boot, AWS)

Skills

MongoDBDynamoDBPythonJavaMicroservicesSpring BootAWS LambdaKafkaAIAWSGitHubKubernetes

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

17 August 2026

What they need


Project description

Customer is looking for a Senior Backend Engineer (Java, Spring Boot, AWS)

Responsibilities

  • 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

Skills

Must have

  • 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

Nice to have

  • 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

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