Senior Software Engineer – Tools and Applications (SWE3) [D.26.0204]

Requirements

• TS/SCI clearance with current Full Scope Polygraph
• Expertise in UI/UX principles
• Significant experience with using LLMs as a part of a code solution workflow
• Strong communication skills and willingness to ask questions
• Mastery of Python
• Significant experience developing and maintaining production software
• Familiarity with AWS or other cloud service providers
• Experience with Kubernetes/Helm
• Experience with Argo CD and/or other CI/CD frameworks
• Experience supporting production software using Site Reliability Engineering (SRE) best practices
• Experience with Docker and containerization
• Extensive experience with customer requirements elicitation, an expert in community outreach and integration
• Experience with LLM model hosting

Responsibilities

• Develop high-quality AI tools and applications for the workforce to use
• Ensure high availability, reliability, performance, and security of AI tools
• Modify FOSS to accommodate the customer's use cases
• Regularly engage with customers, conducting requirements elicitation and developing solutions to address their needs
• Maintain existing customer-facing infrastructure and applications, ensuring reliable services
• Serve as a technical lead for AI Tools and Applications initiatives, coordinating work across integrated teams
• Conduct regular one-on-ones and provide coaching, feedback, and support for assigned team members
• Act as the team point of contact (POC) for contract administration functions
• Navigate ambiguity and define solutions for complex, underspecified systems and requirements
• Establish new technical policies, standards, and governance frameworks where gaps exist
• Drive adoption of new technologies and practices across engineering teams
• Implement and oversee monitoring, logging, and observability solutions for AI services
• Ensure high availability, reliability, performance, and security of components
• Communicate effectively with stakeholders at multiple organizational levels

Skills

• Expertise in UI/UX principles
• Significant experience with using LLMs as a part of a code solution workflow
• Strong communication skills and willingness to ask questions
• Mastery of Python
• Significant experience developing and maintaining production software
• Familiarity with AWS or other cloud service providers
• Experience with Kubernetes/Helm
• Experience with Argo CD and/or other CI/CD frameworks
• Experience supporting production software using Site Reliability Engineering (SRE) best practices
• Experience with Docker and containerization
• Extensive experience with customer requirements elicitation, an expert in community outreach and integration
• Experience with LLM model hosting