> Markdown version of [/jobs/ext/4624615-aws-java-solutions-architect](https://www.wearedevelopers.com/jobs/ext/4624615-aws-java-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Java Solutions Architect - **Company:** Nova cruitix LLC - **Location:** Boston, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon Elastic Compute Cloud, Amazon S3, Cloud Engineering, Data Architecture, Extract Transform Load (ETL), DevOps, Amazon DynamoDB, Enterprise Architecture Framework, Java Platform Enterprise Edition (J2EE), Identity and Access Management, Tensorflow, Software Engineering, Data Storage Management, Pytorch, Spring-boot, AWS Lambda, Amazon Virtual Private Cloud (VPC), Amazon Relational Database Service, Data Lakes, AngularJS, AWS Glue, Machine Learning Operations, Api Gateway, Amazon Redshift - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_e74534d594d60722e9552a9ab1778b7e ## About the Role * 12+ years of hands-on experience in technology architecture and software engineering. * 7+ years of dedicated experience designing, deploying, and migrating scalable AWS-based solutions. * Strong proficiency in Java, Java EE, Spring Boot, Angular, and related enterprise frameworks. * Proven expertise in data architecture design, including building enterprise ETL pipelines and data lakes. * Working knowledge and expertise with AI/ML tools and frameworks, specifically TensorFlow, PyTorch, and AWS SageMaker. ## Description We are seeking a highly experienced AWS Java Solutions Architect to design and implement scalable, secure, and robust cloud-native architectures. The ideal candidate will bring a strong background in Java enterprise development combined with deep expertise in AWS cloud services, data architecture, and modern DevOps practices., * Compute: AWS Lambda, EC2, ECS, EKS. * Data & Storage: Amazon Redshift, DynamoDB, RDS, S3, AWS Glue, Kinesis. * Security & Identity: AWS IAM, KMS, Amazon Cognito. * Networking: API Gateway, Amazon VPC, CloudFront.