Onit

Onit

Onit provides automated legal operations and workflow software designed to enhance productivity and strategic decision-making across various industries by utilizing an AI-native framework for managing enterprise legal workflows, contracts, vendors, and...

IT Services
251-1K
Founded 2011
$216M raised

Description

  • Lead security reviews for application architecture and system design, with attention to authentication, authorization, data access patterns, API exposure, and trust boundaries.
  • Conduct pre-production and go-live security assessments and determine launch readiness, mitigation needs, and acceptable risks.
  • Partner with engineering and product teams to prioritize fixes, define compensating controls, and advise on production releases.
  • Design and assess authentication and access control implementations, including OAuth2, OIDC, SAML, RBAC, and fine-grained authorization models.
  • Review REST, GraphQL, and event-driven APIs for security risks such as BOLA, injection, and data leakage, and define API security standards.
  • Assess security risks in AI-powered features and systems, including prompt injection, LLM data leakage, model misuse, and access control gaps.
  • Review architectures involving MCP or similar AI integration patterns and help define AI security guardrails.
  • Lead vulnerability identification using SAST and SCA tools, validate findings, and drive remediation with engineering teams.
  • Assess and map application attack surface, including exposed services, endpoints, integrations, third-party dependencies, and supply chain risks.
  • Integrate and optimize security tools in CI/CD pipelines, define security gates, and automate security checks where possible.

Requirements

  • 10+ years of experience in Application Security, Security Engineering, or Software Engineering with a strong security focus.
  • Proven experience performing security architecture and design reviews.
  • Proven experience conducting go-live or production readiness security assessments.
  • Experience with cloud platforms such as AWS, GCP, or Azure is preferred.
  • Strong understanding of OWASP Top 10, modern web vulnerabilities, secure system design, and threat modeling.
  • Experience with SAST tools such as SonarQube or Checkmarx.
  • Experience with SCA tools such as Snyk or Dependabot.
  • Ability to assess real-world risk and prioritize effectively in a SaaS environment.
  • Understanding of LLM risks such as prompt injection and data leakage, plus AI system architecture.
  • Exposure to securing AI features or platforms, with familiarity in MCP or similar AI integration patterns.
  • Deep expertise in authentication and authorization, including OAuth2, OIDC, SAML, RBAC, ABAC, and least privilege models.
  • Deep expertise in API security, including REST, GraphQL, BOLA, injection, and data exposure.
  • Strong knowledge of application security best practices, including secure coding, input validation, output encoding, and session management.

Benefits

  • Health coverage for employees and immediate family members.
  • Flexible paid time off plus 10 company-paid holidays annually.
  • Exceptional paid leave for birth parents, non-birth parents, and caregivers.
  • Surrogacy and adoption reimbursement.
  • 100% employer-paid life and disability insurance.
  • Voluntary benefits including hospital indemnity, critical illness, and accident coverage.
  • Tax-advantaged accounts including Flexi and NPS.
  • One paid volunteer day each year.

Interested in this position?

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