- Build software that helps operators make sense of fragmented, high-volume cyber data
- Make complex cyber workflows more reliable, observable, and repeatable at enterprise scale
- Take new cyber capabilities from early technical concept to prototype and deployed product
- Apply AI, analytics, and decision-support techniques to reduce analyst burden and improve operator decision-making
- Develop orchestration and human-in-the-loop systems that help cyber teams coordinate, prioritize, and act
Requirements
- 4+ years of experience building, shipping, and supporting production software through software engineering in a professional environment
- 3+ years of experience building back-end services, APIs, data workflows, or platform components with Python
- 2+ years of experience working with Docker or Kubernetes, containers, and reproducible development or deployment workflows
- 2+ years of experience building, deploying, or operating software on cloud platforms such as AWS
- 2+ years of experience designing or operating production systems that use databases, APIs, queues, caches, background jobs, or distributed-system patterns
- 2+ years of experience owning technical delivery for a feature, service, product area, or engineering workstream
- Top Secret clearance
- Bachelor’s degree in CS, Computer Engineering, or Information Systems
Core Competencies
Demonstrates expertise in building and deploying production software, particularly in back-end services and cloud environments. Proficient in applying AI and analytics to enhance decision-making and streamline cyber workflows.
Highest-signal resume keywords
- Python Development
- Cloud Platform Deployment
- Docker or Kubernetes Experience
- Production System Design
- Top Secret Clearance
ATS Optimization Keywords
Hard Skills
- Software Engineering
- Back-End Services
- APIs
- Data Workflows
- Production Software Support
- Orchestration Systems
- Human-in-the-Loop Systems
- AI and Analytics Application
- Distributed System Patterns
- Technical Delivery Ownership
Industry Keywords
- Cyber Data
- Cyber Workflows
- Enterprise Scale
- Decision-Support Techniques
Tools & Technologies
- Docker
- Kubernetes
- AWS
- Databases
- Queues
- Caches
- Background Jobs