Mobasi builds autonomous AI agents that conduct digital forensics investigations, orchestrating 150+ forensic tools. The mission emphasizes supporting law enforcement with advanced technology for cases involving missing persons, trafficking, child exploitation, and homicides.
The company is bootstrapped, profitable, and shipping rapidly — prioritizing sustainable business fundamentals over valuation maximization.
Key Responsibilities:
- Automating manual build/deployment processes to scale across thousands of customers
- Managing multi-cloud infrastructure (AWS, GCP, Azure, Anthropic, OpenAI)
- Ensuring CJIS compliance and SOC2 adherence for law enforcement clients
- Building CI/CD pipelines handling forensic datasets of 10s-100s of gigabytes
- Developing evaluation approaches for non-deterministic investigative outputs
Must-Haves:
- Daily AI tool usage in engineering work (hard requirement)
- Full-stack infrastructure ownership experience (cloud accounts, CI/CD, compliance)
- Cross-stack capability beyond infrastructure specialization
- Attention to production-level detail despite heavy AI reliance
- Self-directed, continuous learning mindset
Disqualifying Factors:
- Lack of current AI integration in workflow
- Need for structured processes/sprint planning
- Preference for pure technical challenges over business needs
- Focus on exit optimization over sustainable business building
Tech Stack: Rust, TypeScript, Python, PowerShell, Bash, GitHub, Docker, Pulumi, Terraform, AWS, GCP, Azure, Node, Bun, pnpm, Turborepo, Cargo, Vitest, Next.js, React, Tauri
Compensation: $240,000 base + profit sharing.