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Java Full Stack Sr. Developer

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Onsite

Java Full Stack Sr. Developer

VOLTO Consulting

Java Full Stack Sr. Developer

Skills

JavaTesting & QAMicroservicesSpring BootOracle DatabaseAWS LambdaKafkaAIAWSOracleComplianceTerraform

2 months ago

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Important information


Contract type:

Permanent

Salary:

$110,000 – $130,000 / year

Location:

Dallas, TX, USA

Work mode:

Onsite

Published on:

16 August 2026

What they need


Dallas,TX Fulltime - Need only independent VISA Holders Job Description 7 - 15 years of experience Roles & Responsibilities

  • Design and develop scalable applications using Java, Spring Boot, Microservices, and REST APIs.
  • Build and maintain robust backend services and API integrations.
  • Collaborate with UI development teams for end-to-end solution delivery.
  • Troubleshoot complex application, integration, and performance issues.
  • Implement secure authentication and authorization mechanisms.
  • Event-Driven & Integration Solutions.
  • Design and develop Kafka-based event-driven architectures.
  • Create scalable messaging and asynchronous processing solutions.
  • Integrate applications with internal and external systems through RESTful services and APIs
  • Ensure reliability, resiliency, and fault tolerance of integration platforms.

Database & Data Management

  • Design and optimize Oracle database schemas and queries.
  • Implement data modeling, indexing, partitioning, and performance tuning strategies.
  • Ensure data integrity, security, and compliance with enterprise standards.
  • Support database migration and modernization initiatives.
  • Cloud & AWS Solutions (Must Have)
  • Design, develop, and deploy cloud-native solutions on AWS.
  • Develop serverless applications using AWS Lambda.

Architect and implement solutions using AWS services including:

  • Lambda
  • API Gateway
  • SQS
  • SNS
  • DynamoDB
  • ECS/EKS
  • CloudWatch
  • IAM
  • S3
  • Bedrock
  • Implement Infrastructure as Code (CloudFormation/Terraform preferred).
  • Drive cloud security, monitoring, scalability, and cost optimization initiatives.

AI & Generative AI Engineering

  • Design and develop GenAI-powered business solutions using Amazon Bedrock.
  • Build, deploy, and manage AI Agents using AWS AI services.
  • Integrate Large Language Models (LLMs) into enterprise applications.
  • Implement Retrieval Augmented Generation (RAG) frameworks and AI workflows.
  • Optimize AI model performance, security, governance, and monitoring.
  • Collaborate with business stakeholders to identify AI adoption opportunities.

Collaboration & Stakeholder Management

  • Work closely with Product Managers, Architects, Business Analysts, and QA teams.
  • Participate in project planning, estimation, and roadmap discussions.
  • Communicate technical solutions and risks to technical and non-technical stakeholders.
  • Support Agile/Scrum development methodologies.

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