Lead Java Full Stack Developer
Only locals to VA,MD,DC or near stateslooking for 14+ years experienceMUST HAVE: AI experienceOnly H1B on C2C through employersPosition: Senior Full Stack DeveloperLocation: Rockville, MD or Tysons, VA - Hybrid - Weekly 3 days onsiteDuration: Long TermResponsibilitiesFull Stack DevelopmentDesign and develop scalable full stack applications with Angular frontends and microservices-based backendsBuild performant, secure RESTful and GraphQL APIs using modern backend frameworks (Java/Spring Boot, Python/FastAPI)Develop responsive, accessible frontends using Angular and TypeScriptCollaborate with data engineers, security teams, and business analysts to translate regulatory requirements into technical solutionsResponsibly adopt and leverage AI-assisted development tools (AWS Kiro or others) while maintaining code quality standards and information security hygieneCI/CD & InfrastructureDesign and maintain CI/CD pipelines using tools such as Jenkins and GitlabImplement infrastructure-as-code and containerized deployments for AWS services like Fargate and LambdaIntegrate automated testing (unit, integration, E2E) and security principles into delivery pipelinesGeneral Engineering SkillsLead code reviews, establish best practices, and contribute to architectural decisionsEnsure all systems meet technology compliance, audit, cybersecurity, and data governance standardsRequired QualificationsBachelor's degree in Computer Science, Software Engineering, or related field5-7 years of professional software engineering experienceStrong proficiency in backend languages: Python and/or Java3+ years of production experience with Angular (latest versions), TypeScript, RxJS, and state management (NgRx)Experience designing and implementing RESTful APIs and/or GraphQL servicesHands-on experience with AWS services (Lambda, ECS, API Gateway, S3, RDS, DynamoDB) and containerization (Docker)Proficiency with both relational (PostgreSQL) and NoSQL (MongoDB, DynamoDB) databasesSolid understanding of application security principles (OWASP Top 10, secrets management, least-privilege access)Preferred QualificationsExperience in regulatory or financial services environmentExperience building human-in-the-loop review systems, annotation platforms, or approval workflows for AI outputsFamiliarity with event-driven architectures and messaging systems (Kafka, AWS SQS/SNS, Kinesis)Exposure to observability and log tooling (Splunk, Datadog, Grafana, CloudWatch) including AI/ML model monitoringExperience with microservices patterns (circuit breakers, service mesh, distributed tracing)Experience with feature flagging, canary deployments, or progressive delivery strategiesContributions to open-source projects or technical publications in AI/ML domainsKey CompetenciesEnd-to-end ownership of features from UI to databaseStrong debugging and troubleshooting skills across the full technology stackStrong understanding of RESTful APIs and supporting API-driven platformsAbility to balance business needs, technical constraints, and scalabilityExcellent collaboration and communication skills with cross-functional teamsStrong commitment to automated testing and code quality