> Markdown version of [/jobs/ext/4662443-solutions-architect](https://www.wearedevelopers.com/jobs/ext/4662443-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). --- # Solutions Architect - **Company:** Resourcesoft, Inc. - **Location:** Boston, MA, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon Elastic Compute Cloud, Amazon S3, Cloud Engineering, Continuous Integration, Amazon DynamoDB, Java Platform Enterprise Edition (J2EE), Github, Identity and Access Management, Machine Learning, Natural Language Processing, Tensorflow, Enterprise Software Applications, Real Time Systems, Pytorch, Large Language Models, Claude Code, Spring-boot, Generative AI, HybridCloud, Amazon Virtual Private Cloud (VPC), Cloudformation, Amazon Relational Database Service, Data Lakes, AngularJS, AWS Data Analytics, Api Gateway, Terraform, Data Pipelines, Serverless Computing, Jenkins, Microservices - **Published:** November 10, 2026 - **Apply:** https://www.dice.com/job-detail/5fadfd6e-83d5-4c23-92ed-3466d8f40fb3 ## About the Role * 15 years or more of technology architecture experience, including 7 years or more designing enterprise AWS solutions. * Proficiency in AWS Lambda, EC2, ECS, EKS, S3, DynamoDB, RDS, VPC, API Gateway, IAM, KMS, and CloudFront. * Experience with Generative AI, Claude Code, SageMaker, TensorFlow, PyTorch, LLMs, NLP, and machine learning solutions. * Experience in Java, Java EE, Spring Boot, Angular, microservices, serverless architecture, and enterprise application modernization. * Experience with Terraform, CloudFormation, GitHub Actions, Jenkins, CI/CD, AWS data services, and Property & Casualty insurance systems. * Excellent verbal and written communication skills. ## Description * Define enterprise AWS architectures for scalable, resilient, secure, cloud-native, and modernization initiatives. * Architect GenAI and ML solutions and integrate production AI capabilities into AWS-based enterprise applications. * Design serverless, microservices, hybrid-cloud, data pipeline, data lake, and real-time processing architectures. * Establish automated CI/CD, infrastructure-as-code, GitHub workflows, repository governance, and deployment standards. * Review Java-based solution designs and produce architecture blueprints aligned with security, performance, and cost objectives. * Lead architecture governance and guide engineers, architects, and data teams throughout solution design and delivery.