Software Engineer

Title: Software Engineer (Java/Python, AWS Serverless)
Location: Rockville, MD or McLean, VA (Hybrid)
Locals only
must submit DL & old LinkedIn 
Job Summary:
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. 
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. 
Key Responsibilities:
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 
Required Qualifications:
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.