Distinguished Software Engineer, AI

About SecurityScorecard

About the role

What you'll do

• Run agentic coding workflows on production code and identify what works at company scale.
• Build tooling, guardrails, evaluations, and review practices for trusted agent-generated code; design systems that preserve human oversight where needed.
• Ship product changes, pair with engineers, review work, and help teams adopt successful practices.
• Interview candidates, contribute to hiring decisions, and document findings for other teams.
• Build and ship customer-facing AI features and agentic workflows using TypeScript, Go, and AWS.
• Integrate foundation models into product surfaces, balancing latency, cost, output quality, and evaluation.
• Lead architecture and code reviews; own projects through production, monitoring, and post-launch improvement.
• Track advances in AI tools and foundation models and bring relevant developments into the roadmap and engineering practices.

Required qualifications

• 10+ years building and shipping production software, with experience at strong engineering companies.
• Demonstrated ownership and ability to set team direction.
• Deep computer science and system design fundamentals, including distributed-system design and 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.
• Comfort with ambiguity and evolving team structure.
• Experience designing and operating distributed systems in cloud environments; AWS is preferred.
• Hands-on experience with CI/CD, Docker or Kubernetes containerization, and production deployment.
• Clear, direct communication with technical and non-technical stakeholders.

Technology stack

• The stated stack includes TypeScript and JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, and PostgreSQL.
• AI development tools include Claude Code, Codex, and Cursor.

Interview process

• The interview process includes a system design round, a coding exercise using AI tools, and a deep dive into a project the candidate led, including how AI was used.

Location

• The role is remote and hiring across the United States, Canada, and Latin America.

Compensation and benefits

• Estimated total compensation for U.S.-based candidates is CAD 350,000–CAD 400,000 USD, stated as all base salary, plus substantial equity.
• Estimated total compensation for Canada-based candidates is CAD 400,000–CAD 500,000 CAD, stated as all base salary, plus substantial equity.
• Estimated total compensation for Argentina- or Brazil-based candidates is CAD 175,000–CAD 250,000 USD, stated as all base salary, plus substantial equity.
• Country-specific benefits include salary, stock options, health benefits, unlimited PTO, parental leave, and tuition reimbursement; compensation may vary based on factors including skills and experience.