Senior Security Engineer, Identity and Access Management

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Senior Security Engineer, Identity and Access ManagementRemote Location: San Francisco, California, U.S.Seattle, Washington, U.S.Austin, Texas, U.S.Washington, D.C., U.S.Boston, Massachusetts, U.S.Position SummaryAt HackerOne, identity is at the heart of how we protect the data we are trusted with most, our customers' vulnerabilities. We are building our Identity and Access Management capability with an AI-first approach, focused on engineering and not administration alone. As a Senior Security Engineer, you will design and deliver the access models and the automation behind them, so that people and systems can access only the right data, at the right time, in the right way.This role operates across the full identity lifecycle, from onboarding and creation through change and removal, for people, service accounts, and AI agents alike. You will help scale what a small team can accomplish by embedding automation, intelligence, and AI into how access is granted, reviewed, and removed, working toward least privilege for humans and least agency for AI.At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Austin TX, Seattle WA, Washington DC, San Francisco CA, or Boston MA, or within commuting distance of our London or Netherlands locations. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together, fostering collaboration, connection, and in-person moments that enrich our culture, while still preserving the benefits of remote work.What You Will DoSuccess in the Senior Security Engineer, Identity and Access Management role will be accomplished by delivering on the responsibilities below in alignment with the Values and Principles that define how we work at HackerOne:Own the identity lifecycle end to end, from onboarding and creation through change to removal, for people, service accounts, and AI agents alike, building the automation that grants entitlements on evidence of legitimate need and removes them seamlessly and automaticallyDesign and build the access models on top of data classification, so that what an identity can reach follows from what the data is rather than from who askedMake time-bound access the default for critical data, so that the secure path is the easy pathEngineer identity as code, keeping provisioning logic, entitlement policy, and access review rules in version control and under test across systems such as Okta, Lumos, and AWS IAM, applying First Principles Problem Solving rather than configuring by hand in consolesBuild AI and LLM-powered tooling that makes access review and entitlement anomaly detection continuous rather than periodic, embedding AI First practices so unusual patterns surface when they happen rather than at audit, and decide where AI is trusted to carry an access decision and where a person still signs it offBring non-human identities under the same discipline as human ones. Service accounts, workload identities, integrations, and AI agents each get an owner, a purpose, and an expiry, treated as the default rather than a cleanup projectContinuously measure access and report the opportunity to reduce unnecessary entitlement, using Data-Driven Decision Making to prioritize where reduction matters mostPartner with Engineering, Enterprise IT, and Compliance to embed identity controls into the systems they own, and support detection and incident response as the identity responder, containing access, reconstructing what an identity reached, and contributing to blameless retrospectives, demonstrating Change Agility as threats and tooling evolveMinimum Qualifications5+ years of experience in identity and access management, security engineering, or software engineering with substantial ownership of identity systemsHands-on experience operating an enterprise identity provider such as Okta, including SAML, OIDC, SCIM, and lifecycle automationExperience managing identity across an enterprise SaaS estate such as Google Workspace, Salesforce and Workday, including SCIM provisioning and group-driven entitlementsExperience with cloud IAM, ideally AWS, including policy design and short-lived credentialsStrong software engineering fundamentals with proficiency in Python, Go, or a similar language, and hands-on use of AI and LLM tooling and agentic coding tools in production engineering workPreferred QualificationsIdentity work in a regulated sector such as financial services, healthcare, or government, and producing access control evidence for audit against requirements such as PCI DSS, HIPAA, SOC 2, or ISO 27001Managing identity infrastructure as code, and access request or governance tooling, for example Terraform and LumosMobile device management (MDM) alongside identity, for example Kandji integrated with Okta: device trust policies, platform SSO, and endpoint enrollmentNon-human, workload, and privileged access: secrets management, short-lived credentials, and service-to-service authenticationBuilding AI or LLM-powered tooling for security or identity workflowsDetection and incident response for identity-centered incidents such as credential compromise, session abuse, or entitlement misuseIndustry certification in identity or security, such as IDPro CIDPRO, Okta certifications, AWS Certified Security – Specialty, or CISSPCompensation Bands:Tier GuideSeattle or Washington DC$180K – $220K • Offers Equity OptionsJob Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance Program*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.Compensation Range: $180K - $220KLocationSeattle; Washington DCEmployment TypeFull timeLocation TypeRemoteDepartmentEnterprise Data & AICompensation$180K – $220K • Offers EquityHackerOne Pay Transparency HackerOne defaults to disclosure in its pay transparency approach. All jobs are posted with the target hiring range, which is a subset of the full pay range for that role. We expect offers to be made within the target hiring range based on the selected candidate’s alignment to functional requirements for the role and our Talent and Leadership Principles.Our U.S. compensation structure is based on the cost of labor by hub location. Candidates are assigned to a pay tier based on the hub they are aligned to.Tier LocationsIf you meet the criteria of the job requirements, we encourage you to apply. Our Talent Acquisition team can answer any salary-related questions you may have during the process.