Job Description Summary
The Cybersecurity Operations Architect provides technical engagement and architectural insight for Vertex's cybersecurity operations program, including AI-augmented detection, response, operations, and threat intelligence capabilities. This role partners closely with SecOps, engineering, architecture, IT, legal, privacy, and other stakeholders to proactively strengthen operational resilience through scalable security architectures, rigorous security architecture reviews, detection engineering excellence, and continuous improvement.
As a member of the Information Security organization, this role drives key areas of cybersecurity operations architecture and strategy, conducts and evaluates security architecture reviews across the operations stack, influences platform and tooling decisions, and serves as a trusted advisor on complex operational and AI-related security risks. This role drives meaningful risk reduction by designing resilient defense, detection, and response architectures, leveraging AI tooling to improve workflows and supplement security engineer capabilities, and continuously improving how threats are detected, investigated, and remediated.
Evolve and improve major components of the cybersecurity operations architecture, translating business and threat risk into actionable, measurable operational programs with defined success metrics.
Conduct and evaluate security architecture reviews for platforms, integrations, and workflows, ensuring alignment with enterprise security standards and risk posture; track identified gaps through resolution.
Lead the architectural design and implementation of cutting-edge defense and detection engineering strategies, including log ingestion pipelines, protection configurations, correlation logic, and alerting frameworks across Cloud, Infrastructure, and SaaS security platforms.
Deliver continuous improvements for incident response, digital forensics, threat hunting, and other security operations capabilities, with a focus on systemic operational improvement.
Improve capabilities for AI-augmented security operations, including automated triage, behavioral analytics, anomaly detection, and AI-driven enrichment and response functions.
Define and implement AI Security Operations pipelines and workflows, including data handling, model access, and inference pipeline monitoring; collaborate on threat modeling for AI-augmented operations addressing misuse, data leakage, adversarial manipulation, and supply-chain exposure.
Serve as a senior advisor to security and engineering leadership on operational risk, architectural trade-offs, and technology investment decisions.
Support various cybersecurity and organizational initiatives to improve the overall corporate posture.
Identify and articulate cybersecurity operations best practices, including defense in depth, adaptive trust architecture, cloud incident response, and purple teaming methodologies.
Mentor and provide technical leadership to cybersecurity operations engineers and analysts; serve as an escalation point for complex security operations and incident response decisions.
Required Qualifications
5+ years of experience in the security operations domain, including designing and implementing security operations architectures across Cloud, Infrastructure, and SaaS security capabilities.
5+ years of experience implementing and operating security platforms across multi-cloud environments (AWS, Azure, GCP, OCI).
5+ years of experience with detection engineering, log management, and security automation capabilities.
Demonstrated experience conducting security architecture reviews for operational platforms, integrations, and tooling.
2+ years of demonstrable experience with AI development and tooling and its application to security operations workflows. (Portfolio or GitHub profile encouraged.)
Strong Self-Starter with the curiosity and interest in delivering on cutting-edge Capabilities.
Experience defining and implementing AI Security Operations pipelines and workflows, including data handling, model access, and inference pipeline monitoring.
Preferred Qualifications
Bachelor's degree in Cybersecurity, Information Assurance, Computer Science, or a related field; equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree.
Experience with AI threat modeling for security operations, including misuse, data leakage, adversarial manipulation, and supply-chain exposure scenarios.
Track record of mentoring cybersecurity operations engineers and analysts and fostering strong cross-functional collaboration.
COMMENTS:
The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time
COMMENTS:
The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time.
We're building a team of people who are passionate about making an impact for our customers and committed to how that impact is achieved. Our values define the behaviors, mindset, and culture that make Vertex a great place to grow and do meaningful work.
Play to Win or We Don't Play — If we choose to do something, we're choosing to do it because we plan to win. That mindset raises our bar on product quality, customer outcomes, and how we show up for one another.
Work As a Team, Putting the Customer At the Core — Our customers are our true north. Whatever your role, ask: how will this help a customer succeed today? We earn trust through outcomes, not promises.
Achieve Excellence With Integrity, Speed, and Agility — The market isn't slowing down. We'll move faster, adapt quickly, and never compromise on doing things the right way — for teammates, customers, and partners.
Innovate Boldly With a Growth Mindset — Progress demands smart risk. We'll try new approaches, learn fast, and keep pushing the boundaries — especially where AI can remove friction and unlock value.
Communicate with Care, Candor and Transparency — Honest, constructive conversations make us better. Let's speak plainly about what's working and what isn't and help each other improve.
Pay Transparency Statement:
Annual Salary Range: $191,600.00 - $249,000.00
Pay Basis: Monthly
The expected base salary range for this role varies by location and is expressed in local currency. The posted range reflects the anticipated hiring range for successful candidates at the time of hire, based on relevant job‑related skills, experience, geographic location, and business needs. Base pay offered to new hires may vary within the posted range depending on individual qualifications and market considerations.
The posted salary range reflects compensation at the time of hire. Employees may experience additional compensation growth over time through performance‑based increases, expanded responsibilities, role progression, or internal career opportunities, in accordance with company policies and local practices.
In addition to base pay, this role may be eligible for other elements of Vertex’s total compensation package, which may include participation in the Vertex Bonus Plan (VOB), a role‑specific sales commission or bonus, and/or equity grants, where applicable.
Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs.
In all cases, compensation will comply with applicable local pay transparency and minimum wage requirements.
