Staff Enterprise Security Engineer, AI Security

RDQ227R1176 While candidates in the listed location(s) are encouraged for this role, candidates in other locations (US based) will be considered. Mission Databricks is hiring an L6 Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise environment. This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. The scope includes modern access patterns such as MCP, integration, and trust boundary security, and broader security engineering support across enterprise platforms and services. This engineer will help identify risk, define practical security requirements, and improve security outcomes through strong technical judgment and cross-functional partnership. Opportunity This role sits at the intersection of enterprise architecture, security engineering, and business enablement. The engineer will review new technologies, integrations, and workflows with an emphasis on secure design, authentication and authorization, data handling, logging, third-party connectivity, API and token security, and operational resilience. The role partners closely with IT, Engineering, Legal, Privacy, Procurement, and business stakeholders to surface risk early, set clear requirements, and support scalable adoption of secure patterns. This is a strong opportunity to help shape how Enterprise Security supports SaaS, internal platforms, automation, and AI-connected systems as the environment continues to grow in complexity. Requirements:  * 8+ years of experience in security engineering, enterprise security, application security, cloud security, or a related field. * Experience conducting security design or architecture reviews for enterprise applications, SaaS platforms, integrations, or internally developed systems. * Strong understanding of authentication, authorization, SSO, federation, SCIM, API security, token handling, secrets management, and least privilege design * Experience assessing data flows, third-party integrations, trust boundaries, logging and monitoring, and security controls across interconnected systems. * Ability to evaluate risk in modern enterprise environments, including automation platforms, AI-adjacent workflows, and emerging integration patterns such as MCP. * Strong written and verbal communication skills, including the ability to translate technical risk into clear requirements and actionable guidance. * Experience driving security outcomes through engineering judgment, influence, and scalable process improvement. * Familiarity with cloud platforms, enterprise identity systems, and core control domains such as audit logging, encryption, access control, data retention, and incident response. Outcomes * OUTCOME 1: Strengthen security practices across enterprise application and integration reviews by identifying key risks early, improving requirement quality, and helping teams address security issues earlier in the lifecycle. * OUTCOME 2:  Strengthen Enterprise Security’s capability to assess and guide AI-adjacent security, MCP and integration security, and cross-system data flow risk, while improving the consistency and scale of security reviews. * OUTCOME 3: Demonstrate the ability to build automation and agent capabilities that help secure systems from the start by allowing IT workflows, internal bots, and automation platforms to call Enterprise Security guidance directly for risk triage, control validation, and escalation decisions. This should reduce dependency on manual review and embed security guidance earlier in the system lifecycle.       Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $194,800—$267,850 USD Zone 2 Pay Range $175,400—$241,100 USD Zone 3 Pay Range $165,600—$227,700 USD Zone 4 Pay Range $155,800—$214,300 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Technology, Data, and Intelligence (TDI) Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Staff Security Engineer Opportunity We are seeking a highly skilled and hands-on Staff Security Engineer with a DevSecOps & Issue Management focus to join the TDI Security team. In this role, you will be embedded directly within our technical environments, working side-by-side with engineering and operations teams to strengthen Okta’s security posture across infrastructure, cloud, and business systems. This is a tactical and strategic role; you will build a centralized Security Posture Analytics and Reporting capability that aggregates findings, remediation status, and risk data across Okta's security tools to improve visibility, accountability, and execution. The focus is on automating issue tracking and ownership assignment, identifying and routing unowned findings, partnering with remediation teams to accelerate closure, and developing remediation solutions where none currently exist. Longer term, leverage AI to simplify security posture management, increase trust in the data, automate analysis and prioritization, and provide actionable insights that help TDI proactively manage security risk at scale. The ideal candidate combines deep technical security expertise with the ability to troubleshoot in complex environments and drive measurable improvements across the security posture management lifecycle. You’ll partner closely with Security, TDI SRE, TDI Engineering and SaaS application teams to implement/develop agentic-first scalable security controls, automate scanning and remediation workflows, and ensure our platforms—from AWS and to enterprise SaaS applications like Salesforce, ERP, Google Workspace, Slack, and Zoom—are secure by design. You will also work on developing a best-in-class security posture management program that can withstand today’s dynamic threat landscape What you’ll be doing  * Security Posture Management * Up-level our Security Posture Management program to handle various issues identified by security tooling across our ecosystem. * Leverage Dashboards and Visualization Tools to showcase our Vulnerability and Issue Management progress and current status * Manage Okta’s Security Posture Management program, including integrating data ingestion pipelines, coding logic to prioritize vulnerability fixes, supporting teams remediating issues coming out from various tools (ISPM, DSPM, Qualys, etc), and developing automated systems at scale. * Configure and operationalize tools such as Snyk, Semgrep, and Qualys to expand scanning coverage for all TDI assets. * Collaborate with teams to troubleshoot and remediate findings; provide technical mentorship to developers and admins. * Based on findings from tools such as ISPM/SSPM, Snyk, Semgrep, Qualys, Cyera, and other security platforms, develop and maintain metrics, reporting, and executive visibility that drive ownership, accountability, prioritization, and measurable risk reduction across the organization. * Partner with Security and GRC to communicate our risk posture and remediation status. * Secure Development & DevSecOps Enablement * Partner with product and engineering teams to advise on secure coding, build pipelines, and deployment best practices. * Support and enforce ProdSec SDL adoption across business units, standardizing design reviews and requirements gathering. * Implement secrets rotation automation and best practices for secrets management across TDI systems. * Lead “shift left” security efforts to build security into the SDLC. * Baseline Image & Environment Security * Collaborate with SRE to manage update pipelines and enforce compliance with baseline standards. * Conduct light Security Architecture Reviews (SARs) for lower environments to confirm proper controls and data handling. * Automation, AI Development & Continuous Improvement * Develop agentic automation to scale security posture scanning, reporting, issue remediation, and patch validation. * Architect E2E automation flows and system design for an AI agent and its subagents (e.g remediation agent, security posture management triage agent, etc).  * Identify and close gaps across CSPM, CI/CD pipeline security, and endpoint hardening. * Provide technical guidance for integrating security into business and productivity platforms (Salesforce, ERP, Google Workspace, Slack, Zoom). What you’ll bring to the role * 10+ years of experience in Security Engineering, DevSecOps, Infrastructure Security, or SaaS apps within a SaaS or enterprise environment. * Hands-on technical expertise in the scanning, patching, and remediation of the issues across cloud, and SaaS ecosystems. * Leverage creative and strategic thinking to promote risk reduction through secure design and simplicity * Possess broad security knowledge to connect the dots across security domains * Able to collaborate cross-functionally and balance security requirements with business objectives. * Experience deploying and managing Snyk, Semgrep, and Qualys tools. * Strong knowledge of AWS security practices, SRE principles, and securing business technology stacks (Salesforce, ERP, Google, Slack, Zoom). * Proven ability to coach, mentor, and collaborate with development teams to improve remediation velocity. * Practical understanding of secure SDLC / PDLC, supply chain security, and secrets management. * Experience building security tools/applications, and automated tools * Effective communication skills to communicate strategically with higher-level leadership and with individual contributors.Proficient with visualization/BI tools to create dashboards and provide reporting to leadership and other key stakeholders. * Experience in driving remediation across a variety of issues raised by posture management solutionsExcellent troubleshooting and communication skills, with a proactive and solution-oriented mindset. P21924_3474953 Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.    The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $134,000—$184,800 USD The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.