Title: Sr. Fullstack Engineer
Location : Rockville, MD or McLean, VA
Target Start Date : ASAP
Type: contract
Pay Rate: DOE
We are seeking a Senior Full Stack Engineer to design and build scalable applications that support complex, data-driven workflows in a highly regulated environment. This role requires strong backend and frontend expertise, along with experience in modern DevOps practices, automation, and secure software development. The ideal candidate is comfortable working across the full development lifecycle and leveraging modern tools, including AI-assisted development, to improve efficiency and quality.
Key Responsibilities
Full Stack Development
Design and develop full stack applications supporting data-intensive workflows, analytics, and reporting
Build performant and secure RESTful and GraphQL APIs using modern backend frameworks such as Java (Spring Boot) or Python
Develop responsive, accessible user interfaces using Angular and TypeScript
Collaborate with data engineers, security teams, and business stakeholders to translate complex requirements into scalable technical solutions
Leverage AI-assisted development tools responsibly to enhance productivity while maintaining high standards for code quality and security
Automation, CI/CD, and Quality Engineering
Architect, implement, and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Jenkins
Implement infrastructure-as-code and support containerized deployments using Docker and orchestration platforms such as Kubernetes or ECS
Design and integrate automated testing strategies, including unit, integration, and end-to-end testing
Embed security best practices into the development lifecycle, including automated scanning and compliance checks
Leadership and Ownership (Senior Level)
Mentor junior and mid-level engineers through code reviews, pair programming, and technical guidance
Drive engineering best practices across development, testing, and deployment
Ensure systems meet compliance, audit, cybersecurity, and data governance requirements
Contribute to architectural decisions and long-term platform evolution
Required Qualifications
7 years of professional software engineering experience, including at least 1 2 years in a senior or lead capacity
Strong proficiency in backend development using Java (Spring Boot) or Python
Deep experience with Angular and TypeScript for frontend development
Hands-on experience designing and operating CI/CD pipelines end-to-end
Experience with containerization (Docker) and orchestration (Kubernetes or ECS)
Strong experience with AWS and cloud-native services, including serverless technologies such as AWS Lambda
Familiarity with relational databases (PostgreSQL) and NoSQL data stores
Strong understanding of application security principles, including OWASP Top 10, secrets management, and least-privilege access
Experience with modern version control workflows (Git, trunk-based development, or GitFlow)
Experience integrating AI/ML models or LLM APIs (such as AWS Bedrock) into production systems
Understanding of the importance of human oversight in AI-driven systems, particularly in high-risk or regulated environments
Preferred Qualifications
Experience working in financial services or other regulated industries
Experience building human-in-the-loop systems, review workflows, or AI-assisted decisioning platforms
Familiarity with event-driven architectures and messaging systems such as Kafka or AWS SQS/SNS
Experience with observability and monitoring tools such as Datadog or Grafana, including monitoring of AI/ML systems
Exposure to feature flagging, canary releases, or progressive delivery practices
Contributions to open-source projects or internal developer platform tooling
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