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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer (Java) - **Company:** SDH Systems LLC - **Location:** Rockville, MD, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Engineering, Code Generation, Software Quality, Code Review, Continuous Integration, Software Debugging, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Scrum Methodology, Software Architecture, Amazon Simple Notification Service (SNS), Software Deployment, Workflow Management Systems, Spring Cloud, GitHub Copilot, Spring-boot, State Machines, Software Application Programming, AWS Lambda, Backend, Event Driven Architecture, Infrastructure Automation Frameworks, Deployment Automation, Amazon Simple Queue Service (SQS), Serverless Computing, Docker, Jenkins, Microservices - **Published:** August 4, 2026 - **Apply:** https://www.dice.com/job-detail/c5085d7f-5b07-44bb-b4e8-321b737622a2 ## About the Role The ideal candidate brings deep experience in Java and Python, a strong foundation in AWS serverless architectures, and a track record of building and modernizing distributed systems at scale. This role also requires experience leveraging AI-assisted development tools to improve engineering productivity, code quality, and delivery speed., Technical Expertise 10 years of experience in Java development (Java 8 , Spring Boot) 3 years of hands-on Python development (Python 3.x) Strong experience building microservices and distributed systems Cloud & AWS 3 years of experience building applications on AWS Hands-on expertise with: AWS Lambda Step Functions (workflow orchestration) SQS and SNS (event-driven architecture) Experience designing serverless and event-driven systems DevOps & Engineering Practices Strong experience with CI/CD pipelines (Jenkins or similar) Experience with Docker and container-based deployments Familiarity with infrastructure automation and deployment best practices Leadership & Impact Proven ability to lead technical design and architectural decisions Strong debugging, problem-solving, and performance optimization skills Experience mentoring engineers and elevating team standards Strong communication skills with both technical and non-technical stakeholders Experience working in Agile/Scrum environments Preferred (Nice to Have) Experience integrating AI/ML capabilities into applications Familiarity with tools such as Amazon Bedrock, LangChain, or similar AI frameworks Experience using AI coding assistants (e.g., GitHub Copilot, Amazon Q, or similar) in day-to-day development ## Description We are seeking a highly skilled, hands-on Lead Software Engineer to drive the design and development of scalable, cloud-native applications. This is a senior individual contributor role for an engineer who combines strong backend development expertise with cloud architecture and DevOps capabilities., Design, build, and maintain scalable backend services using Java (Spring Boot) and Python Architect and develop cloud-native applications on AWS, leveraging serverless and event-driven patterns Build and optimize workflows using AWS Lambda, Step Functions, SQS, and SNS Establish and enhance CI/CD pipelines, deployment automation, and DevOps best practices Lead code reviews and ensure standards for performance, scalability, and security Collaborate with architects and cross-functional stakeholders to define and deliver technical solutions Leverage AI-assisted development tools (e.g., code generation, testing automation, debugging support) to accelerate delivery and improve code quality Drive continuous improvement across engineering practices, tooling, and system design ## Related Videos - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)