General Motors Logo

General Motors

Staff Cloud Identity Platform Engineer

Posted Yesterday
Remote or Hybrid
Hiring Remotely in District of Columbia, USA
160K-246K Annually
Senior level
Remote or Hybrid
Hiring Remotely in District of Columbia, USA
160K-246K Annually
Senior level
Designs, operates, and improves secure, reliable cloud identity platforms using Microsoft Entra ID, Entra External ID, and Azure. Responsibilities include identity integrations, access controls, SRE practices, observability, incident response, infrastructure automation, infrastructure as code, disaster recovery, and reliability engineering. The role partners with cybersecurity, infrastructure, application, privacy, compliance, and product teams while documenting operational processes and reducing manual toil.
The summary above was generated by AI
Description
The Role
As a Staff Cloud Identity Platform Engineer, you will design, automate, operate, and continuously improve secure, reliable, and scalable identity services for a global enterprise. You will support Microsoft Entra ID, Microsoft Entra External ID, and foundational Azure infrastructure across workforce, application, partner, and external-user experiences.
This role applies Site Reliability Engineering principles to cloud identity, including service-level objectives, observability, automation, error-budget management, incident response, resilience engineering, capacity planning, and reduction of operational toil. You will help establish identity platforms that are secure by design, measurable, recoverable, and dependable at enterprise scale.
What you'll do
  • Design, configure, implement, and operate Microsoft Entra ID capabilities for workforce and application identity.
  • Implement Microsoft Entra External ID capabilities for external users, partners, and application experiences, including registration, authentication, federation, user journeys, and authorization patterns.
  • Integrate applications and services using OAuth 2.0, OpenID Connect, SAML, and other secure identity standards.
  • Configure and support single sign-on, multifactor authentication, Conditional Access, role-based access control, privileged access, identity governance, and access reviews.
  • Develop secure patterns for application onboarding, directory synchronization, service principals, managed identities, workload access, and identity lifecycle processes.
  • Define and manage service-level indicators and objectives for identity platforms, including authentication success rate, availability, latency, federation health, provisioning reliability, and recovery performance.
  • Establish reliability practices such as error budgets, availability targets, dependency mapping, capacity planning, resiliency testing, and measurable operational health reviews.
  • Apply Azure infrastructure fundamentals to identity platform engineering, including subscriptions, resource organization, networking, Key Vault, monitoring, logging, resiliency, backup, disaster recovery, and governance.
  • Build observability using metrics, logs, traces, synthetic transactions, dashboards, alerting, and identity-specific security and reliability signals.
  • Monitor platform health, investigate alerts, troubleshoot authentication and authorization issues, and participate in incident response and on-call activities as applicable.
  • Lead or contribute to incident triage, service restoration, stakeholder communications, root-cause analysis, and blameless post-incident reviews.
  • Identify recurring incidents, manual processes, and operational toil; automate or redesign them to improve reliability and engineer effectiveness.
  • Automate identity and cloud platform activities using PowerShell, Azure CLI, Microsoft Graph, Bicep, Terraform, or comparable technologies.
  • Contribute to infrastructure-as-code, continuous integration and delivery, automated testing, policy-as-code, progressive delivery, change validation, and safe rollback practices.
  • Design and validate high-availability, failover, recovery, and business-continuity patterns for identity services and critical dependencies.
  • Maintain runbooks, playbooks, service documentation, troubleshooting guides, architecture records, and operational readiness checklists.
  • Partner with cybersecurity, infrastructure, application, architecture, privacy, compliance, and product teams to manage technical dependencies and operational risks.
  • Evaluate Microsoft capabilities, third-party solutions, and emerging identity patterns based on security, reliability, usability, scalability, supportability, and cost.
  • Communicate technical concepts clearly and contribute to design reviews, reliability reviews, technical planning, and engineering knowledge-sharing activities.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in computer science, information technology, cybersecurity, engineering, or a related field, or equivalent experience.
  • Five or more years of experience in identity and access management, cloud engineering, cybersecurity, infrastructure, software engineering, SRE, or a related technical discipline.
  • Hands-on experience with Microsoft Entra ID, including authentication, federation, single sign-on, multifactor authentication, Conditional Access, role-based access control, privileged access, or identity lifecycle concepts.
  • Experience with Microsoft Entra External ID or a comparable customer, partner, or external-user identity platform.
  • Working knowledge of Azure infrastructure fundamentals, including subscriptions, networking, Key Vault, monitoring, logging, resiliency, and governance.
  • Experience translating security, reliability, and application requirements into identity architecture, configurations, integrations, or engineering solutions.
  • Experience supporting production services, including monitoring, alerting, troubleshooting, incident response, change management, root-cause analysis, and service reliability practices.
  • Understanding of SRE concepts such as SLIs, SLOs, error budgets, incident management, post-incident reviews, automation, toil reduction, and continuous improvement.
  • Strong understanding of identity security principles, least privilege, separation of duties, zero-trust concepts, and secure integration patterns.
  • Experience with scripting, automation, APIs, infrastructure as code, or policy as code.
  • Ability to assess operational risk, prioritize reliability improvements, and make sound technical decisions during incidents.
  • Ability to communicate effectively with technical and non-technical stakeholders.

What Will Give You A Competitive Edge (Preferred Qualifications)
  • Secondary experience with AWS and/or Google Cloud Platform identity, security, infrastructure, or platform services.
  • Ability to apply comparable identity, security, reliability, and operational concepts across Azure, AWS, and Google Cloud Platform environments.
  • Experience with AWS IAM, AWS Organizations, AWS KMS, Amazon Cognito, Google Cloud IAM, Google Cloud Identity, Google Cloud KMS, or comparable services.
  • Experience defining service health metrics, SLOs, error budgets, operational readiness criteria, or reliability scorecards.
  • Experience with identity governance, entitlement management, privileged identity management, access reviews, and joiner-mover-leaver processes.
  • Experience with application modernization, API security, directory synchronization, Microsoft Graph, or identity automation.
  • Experience with customer identity and access management, including registration, progressive profiling, consent, account recovery, and federation.
  • Experience with DevOps, continuous integration and delivery, automated testing, infrastructure as code, policy as code, progressive delivery, or automated rollback.
  • Familiarity with platform observability, security analytics, logging, synthetic monitoring, identity-related threat detection, and service dependency mapping.
  • Experience with resiliency testing, disaster recovery, capacity planning, performance engineering, or recovery-time and recovery-point objectives.
  • Microsoft certifications such as Identity and Access Administrator Associate, Azure Administrator Associate, Cybersecurity Architect Expert, or comparable credentials.
  • Experience designing or operating identity platforms for large, complex, or highly regulated enterprises.
  • Demonstrated initiative, problem-solving, accountability, integrity, sound judgment, and commitment to continuous improvement.
  • Ability to collaborate effectively across engineering, cybersecurity, infrastructure, application, and business teams.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $160,200-$246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-SB3
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
Relocation benefits are available for candidates who qualify under company policy.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

General Motors Los Angeles, California, USA Office

Los Angeles, CA, United States

General Motors Pasadena, California, USA Office

General Motors Advanced Design and Innovation Campus Office

The teams at the General Motors Advanced Design and Innovation campus in Pasadena, CA, are charged with exploring future transportation, technology and consumer trends and creating conceptual mobility solutions that inspire and inform program teams across the company.

Similar Jobs at General Motors

Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develops and leads thermal, hydraulic, lubrication, ventilation, and propulsion system models for electrified and conventional vehicles. Builds 1D and coarse 3D simulations, integrates plant models for SiL and HiL co-simulation, interprets results to guide design decisions, improves analysis tools, and develops automation using Python or MATLAB. The role also provides technical leadership, mentors colleagues, and leads efficiency improvement initiatives.
Top Skills: 1D Fluid Dynamics Modeling3D Thermal ModelingAmesimGt-SuiteHilMatlabPythonSiemens Nx CadSilSimulink
Junior
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Build and integrate thermal, hydraulic, lubrication, ventilation, and propulsion system models using 1D and coarse 3D simulation tools. Support electrified and conventional propulsion design, validation, software- and hardware-in-the-loop co-simulation, test-to-model correlation, and technical problem resolution. Interpret simulation results to recommend design improvements, enhance analysis tools, and develop automation using Python or MATLAB. The role also includes collaboration, mentoring, and knowledge sharing.
Top Skills: 1D Fluid Dynamics Modeling3D Thermal ModelingAmesimGt-SuiteHardware-In-The-LoopMatlabPythonSiemens NxSimulinkSoftware-In-The-Loop
2 Hours Ago
Remote or Hybrid
United States
179K-273K Annually
Expert/Leader
179K-273K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads People Analytics enablement and BI strategy, overseeing semantic models, certified data products, metric governance, data foundations, advanced analytics enablement, demand prioritization, and adoption. Partners with People Analytics, IT, and HR Strategy teams to create trusted workforce data, reusable semantic assets, and decision-ready insights. Manages teams and operating models while driving data quality, governance, certification, self-service analytics, AI access, and scalable insight delivery across the enterprise.
Top Skills: APIsArtificial IntelligenceBusiness Intelligence (Bi)Data GovernanceMachine LearningSemantic Modeling

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account