Senior Security Engineer - Enterprise Security

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.If you'd like to build the world's best AI cloud, join us.*Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.Reporting to the CISO, you'll be a key member of the Enterprise Security team responsible for securing Lambda's SaaS applications, corporate IT infrastructure, identity and access management (IAM), and endpoint ecosystems. Your work will focus on establishing secure-by-default configurations, automating access governance, and protecting corporate environments as Lambda scales rapidly.You will directly impact the security posture of our enterprise operations by implementing robust Identity Governance and Administration (IGA), hardening corporate SaaS tools, automating joiner-mover-leaver (JML) workflows, and deploying zero-trust network access controls. Leveraging Lambda's hosted LLMs, you'll pioneer AI-driven enterprise security automation—such as intelligent access reviews, automated policy enforcement, and SaaS risk monitoring.If you're excited about building enterprise security controls that balance strong protection with developer and employee productivity, we want to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Sr. Security Engineer role. Your application is not a waste of our time.What You’ll DoIdentity & Access Governance:Design, deploy, and maintain Identity and Access Management (IAM) architectures, SSO/IdP integrations (Okta, Entra ID), and Privileged Access Management (PAM) across corporate and SaaS ecosystemsAutomate Joiner-Mover-Leaver (JML) workflows and lifecycle management to enforce least-privilege access and zero-trust principles across all internal toolingBuild automated access certification and review tooling to streamline compliance and governance controlsImplement strong multi-factor authentication (MFA) standards, passwordless solutions, and contextual access policiesSaaS Security & Corporate Infrastructure:Establish SaaS Security Posture Management (SSPM) and conduct security posture reviews for corporate SaaS applications (Google Workspace, Slack, GitHub, Jira, Salesforce)Define and enforce baseline security configurations, patch management policies, and MDM/EDR security controls across corporate endpoints (macOS, Windows, Linux)Partner with IT Infrastructure and Operations teams to architect Zero Trust Network Access (ZTNA), VPN/SASE solutions, and secure remote worker access frameworksAutomation & Strategic Innovation:Develop custom security automation tools and scripts in Python or Go to eliminate manual IT/Enterprise security toilPioneer AI-powered enterprise security workflows leveraging Lambda’s hosted LLMs to automate third-party risk analysis, access request approvals, and anomaly detection in corporate logsAssess third-party vendor risks and build automated tooling to evaluate SaaS vendor security posturesGovernance & Cross-Functional Alignment:Collaborate with IT, Legal, HR, and Compliance teams to ensure corporate systems align with frameworks such as SOC 2, ISO 27001, and HIPAAEstablish internal security documentation, end-user security awareness guidelines, and self-service security options for employeesDefine strategic roadmap initiatives for corporate security, driving measurable security posture improvements across all business unitsWhat We Think a Candidate Needs to Demonstrate to Succeed5+ years of dedicated security engineering experience, with a focus on enterprise security, corporate security, or IAM infrastructureProven experience designing and scaling Identity & Access Management architectures (e.g., Okta, Entra ID, SAML/OIDC, SCIM, PAM)Hands-on technical expertise in securing corporate SaaS applications and managing SaaS Security Posture Management (SSPM) toolsStrong programming and scripting capabilities (Python, Go, or PowerShell) to build automations for identity lifecycles and security operationsSolid understanding of Zero Trust architecture, Endpoint Detection & Response (EDR), Mobile Device Management (MDM), and corporate network securityStrong communication and stakeholder management skills, with a track record of partnering effectively with IT, Legal, and HRAbility to balance robust enterprise security controls with employee experience and productivityThrives in fast-moving, high-growth startup environments where building scalable structure is requiredNice to HaveExcitement about leveraging our direct access to state-of-the-art LLMs to revolutionize enterprise security—imagine AI-assisted access reviews, automated SaaS risk assessments, and intelligent policy generation.Experience building enterprise security and IAM programs at high-growth tech companies or cloud providersFamiliarity with compliance frameworks (SOC 2, ISO 27001, FedRAMP, HIPAA) and audit preparationExperience implementing Infrastructure as Code (Terraform) for managing enterprise identity and SaaS configurationsDeep technical background allowing hands-on contribution when neededExperience with both build and buy decisions for security toolingExperience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, with 500+ employees, and growing fastOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent CoveWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGOur values are publicly available: We offer generous cash & equity compensationHealth, dental, and vision coverage for you and your dependentsWellness and commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible paid time off plan that we all actually useEqual Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.Compensation Range: $266K - $395KLocationBellevue Office; San Francisco Office (Fremont St); San Jose Office (First St)Employment TypeFull timeLocation TypeHybridDepartmentData Center BusinessCompensationBellevue$266K – $356KSan Francisco / San Jose$296K – $395K