Cybersecurity Engineering & Operations Director

About Onit:
We're redefining the future of legal operations through the power of AI. Our cutting-edge platform streamlines enterprise legal management, matter management, spend management and contract lifecycle processes, transforming manual workflows into intelligent, automated solutions.

We’re a team of innovators using AI at the core to help legal departments become faster, smarter, and more strategic. As we continue to grow and expand the capabilities of our new AI-centric platform, we’re looking for bold thinkers and builders who are excited to shape the next chapter of legal tech.
If you're energized by meaningful work, love solving complex problems, and want to help modernize how legal teams operate, we’d love to meet you.

Key Responsibilities:
• Develop and execute the cybersecurity engineering and operations strategy with the VP, Compliance and Security, translating risk and business priorities into technical roadmaps, architecture standards, and measurable outcomes (e.g., remediation performance, control coverage, incident response effectiveness, attack surface and posture trends).

• Lead the design and continuous improvement of security controls and guardrails across AWS and corporate environments, including cloud identity, network, workload, container/Kubernetes, and data protections, with security automation delivered as code (Terraform, Python, CI/CD, policy-as-code).

• Own technical security operations and incident response: detection, investigation, containment, eradication, and recovery; maintain and exercise IR plans, playbooks, and runbooks; build automated detection and response workflows across SIEM, SOAR, EDR, and cloud-native tooling; and coordinate executive, legal, and regulatory escalation with the VP.

• Own the vulnerability and exposure management program across applications, cloud, endpoints, and external attack surfaces, setting risk-based remediation SLAs and prioritizing by exploitability, exposure, and business impact while driving root-cause fixes for systemic weaknesses.

• Provide security leadership for Microsoft 365 and Entra ID (MFA, Conditional Access, privileged identity management, Just-In-Time access), corporate endpoint and email security, and for application and product security across the SDLC, including SAST/DAST/SCA, SBOMs, API security, threat modeling, a security champions program, and AI-enabled applications and integrations.

• Lead, mentor, and develop the cybersecurity manager, engineers, and security operations staff; define team structure, career paths, and operating processes that scale; manage security vendors, penetration testing, and managed security services; and serve as senior technical security advisor to Engineering, IT, Product, and executive leadership.

Required Skills:
• 10+ years of progressive cybersecurity experience, including 5+ years in security leadership or management roles leading security engineering, security operations, or cloud security functions, with experience managing managers and technical teams.

• Deep expertise securing cloud-native enterprise SaaS applications, with strong hands-on AWS security experience (IAM, VPC, EC2, RDS, S3, EKS/ECS, logging, monitoring) and strong knowledge of Linux, networking, containers, and Kubernetes.

• Strong experience with security technologies including SIEM, EDR, CSPM, vulnerability management, WAF, and security monitoring platforms, and demonstrated experience building or improving incident detection and response programs.

• Experience securing Microsoft 365 and Entra ID environments (identity protection, MFA, Conditional Access, privileged identity management, access governance) and implementing privileged access management and Just-In-Time access architectures.

• Strong understanding of application and API security (SAST, DAST, SCA, SBOMs, secrets management, authentication/authorization) and experience with security automation and scripting using Python, Bash, Terraform, APIs, and CI/CD platforms, including Infrastructure-as-Code security and policy-as-code guardrails.

• Hands-on AI tool proficiency: experience using AI tools and LLM-based assistants in security work (e.g., AI-assisted alert triage, investigation, detection engineering, and automation), including crafting effective prompts, evaluating output accuracy, and integrating AI into security workflows. Experience securing AI-enabled applications, LLM integrations, and APIs is a plus.

• Ability to communicate complex cybersecurity risks to engineering leaders, executives, and non-technical stakeholders, and to balance risk reduction with business objectives and engineering velocity.

• Preferred: experience with multi-tenant SaaS security, CrowdStrike, Cloudflare (WAF and Zero Trust), DevSecOps, and offensive security or red-team programs; familiarity with SOC 2, ISO 27001, NIST, or FedRAMP technical controls; and certifications such as CISSP, CCSP, AWS Security Specialty, or GIAC.