Distinguished Software Engineer, AI

About SecurityScorecard

About the role

What you'll do

• Run agentic coding workflows on production code and evaluate their performance at company scale.
• Build tooling, guardrails, evaluations, and review practices for reliable agent-written code.
• Design systems and decide where human involvement is needed.
• Ship product changes as test cases for new engineering practices.
• Build customer-facing AI features and agentic workflows using TypeScript, Go, and AWS.
• Integrate foundation models while balancing latency, cost, quality, and evaluation.
• Lead architecture and code reviews focused on reliability, security, and maintainability.
• Own projects from concept through production, monitoring, and post-launch improvement.
• Support engineers across the organization, interview candidates, and share learnings.
• Track AI tooling and foundation-model developments and bring relevant advances into the roadmap.

Required qualifications

• 10+ years building and shipping production software, with a record at strong engineering companies.
• Evidence of driving team direction and engineering outcomes.
• Deep computer science and system design fundamentals, including distributed-system failure analysis.
• Heavy hands-on use of AI coding tools on real codebases.
• Experience with LLM agents, tool use, evaluations, prompt design, and context design.
• Proficiency in TypeScript and strong backend engineering fundamentals.
• Experience designing and operating distributed systems in cloud environments; AWS is preferred.
• Hands-on experience with CI/CD, Docker, Kubernetes, and production deployment practices.
• Clear communication with technical and non-technical stakeholders.
• Comfort with ambiguity and a changing team structure.

Technology stack

• The listed stack includes TypeScript, JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, and PostgreSQL.
• AI-native coding tools mentioned include Claude Code, Codex, and Cursor.

Location

• The position is remote and open to candidates in the United States, Canada, and Latin America.

Compensation and benefits

• U.S.-based candidates: estimated total compensation range of CAD 350,000–CAD 400,000 USD, stated as all base salary, plus substantial equity.
• Canada-based candidates: estimated total compensation range of CAD 400,000–CAD 500,000 CAD, stated as all base salary, plus substantial equity.
• Argentina- or Brazil-based candidates: estimated total compensation range of CAD 175,000–CAD 250,000 USD, stated as all base salary, plus substantial equity.
• Benefits vary by country and include stock options, health benefits, unlimited paid time off, parental leave, and tuition reimbursement.
• Compensation may vary based on location, skills, qualifications, experience, and affordability; eligible employees may receive annual performance-based incentives.

Interview process

• The interview process includes a system-design round, an AI-tool-assisted coding exercise, and a deep dive into a project the candidate led.