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# Java AWS Solutions Architect

- **Company:** New York, Inc.
- **Location:** Cincinnati, OH, United States
- **Contract:** Contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Big Data, Cloud Engineering, Databases, Continuous Integration, Database Design, Software Design Patterns, Distributed Systems, Amazon DynamoDB, Identity and Access Management, PostgreSQL, MongoDB, MySQL, NoSQL, Oracle (Applications), Performance Tuning, Query Optimization, Amazon Simple Notification Service (SNS), Software Engineering, Spring-boot, Amazon Virtual Private Cloud (VPC), Event Driven Architecture, Amazon Relational Database Service, Kubernetes, Cloud Migration, Functional Programming, Cloudwatch, Api Gateway, Amazon Simple Queue Service (SQS), Docker
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/4d2a8729-8cfe-455b-affb-b8460a7d24c7

## About the Role

* Strong hands-on experience with Java, Spring Boot,
 * Deep AWS architecture and implementation expertise, including Lambda, API Gateway, S3, SQS, SNS, DynamoDB, RDS/Aurora, ECS/EKS, IAM, VPC, CloudWatch
 * Strong database experience with PostgreSQL, MySQL, Oracle, DynamoDB, MongoDB.
 * Experience with Docker, Kubernetes, CI/CD, observability, and distributed systems
 * Cloud-native, event-driven architecture design and implementation
 * AWS Solutions Architect certification preferred, * Recent hands-on Java/Spring Boot development experience.
 * Strong AWS architecture background beyond basic service usage.
 * Expertise across relational and NoSQL databases.
 * Self-driven, ownership-oriented engineer with a principal-engineering mindset who thrives in a fast-paced environment.
 * Proven experience designing secure, scalable, event-driven solutions and leading technical initiatives.

## Description

* Act as a hands-on Architect/Principal Engineer building secure, scalable, cloud-native platform services.
 * Lead architecture design, modernization, cloud migration, technical decisions, and performance optimization.
 * Drive best practices for design patterns, software engineering, database design, data modeling, query optimization, and high-availability architectures.
 * Mentor engineering teams and provide technical leadership.
 * Collaborate across teams to deliver scalable, data-intensive applications.