Software Engineer
Location: Tysons Corner, VA
Department: Enterprise IT
Location Type: IN_OFFICE
Employment Type: FULL_TIME
- Design, develop, and deploy robust applications and data-driven services within AWS cloud environments
- Collaborate with AI and data engineering teams to operationalize data pipelines and machine learning tasks
- Provide day-to-day support for deploying Python-native ML pipelines and other cloud-based workloads
- Contribute architectural leadership, technical guidance, and hands-on support for secure integration across mission systems
- Support identity management system technologies, ensuring compliance with applicable security and accreditation requirements
- Engage with senior technical leaders and government stakeholders to provide subject matter expertise in security architecture and cloud engineering
- Promote continuous improvement and automation across development, deployment, and monitoring workflows
- US citizenship with active TS/SCI with CI Polygraph required
- Minimum 7 years of professional experience in Information Technology with a focus on software development in AWS cloud environments
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience in lieu of a degree)
- 6+ years of hands-on experience with full-stack engineering, including front-end, back-end, and database integration
- Strong, repeat experience designing, developing, and deploying enterprise-grade applications in IL6+ AWS classified environments
- Proven expertise in building large-scale, high-performance enterprise solutions within complex, heterogeneous AWS ecosystems
- Experience performing automation, infrastructure, testing, data engineering, and security integration tasks within cloud-based DevSecOps environments
- Proficiency in one or more modern programming languages such as Go, Python, Java, JavaScript, React, AngularJS, TypeScript, or NextJS
- Experience developing and deploying AI/ML-driven applications in production environments
- Background in microservices architecture and RESTful API design
- Hands-on experience with cloud automation, containerization (Docker), and orchestration (Kubernetes)
- Familiarity with Agile methodologies and associated toolsets such as Jira and Confluence
- Strong understanding of security best practices for cloud-native applications
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