高级资深软件工程师-访问安全
Sr Staff Software Engineer- Access Security
我们从工程师Fred Luddy为同事Phyllis自动化一项繁琐任务的代码开始。她喜极而泣。这一时刻激发了Fred创建一家公司,让每个人都能摆脱琐事,专注于有意义的工作。如今,ServiceNow是业务重塑的AI控制中心。我们的ServiceNow AI平台整合任何AI、任何数据和任何工作流,帮助85%的财富500强®企业更聪明、更快、更好地工作。我们正在打造一个以AI为核心的文化,让技术和人才携手并进,势不可挡。而我们才刚刚开始。
加入我们,让AI为人们服务。
访问安全团队正在为ServiceNow Veza身份解决方案构建智能层,帮助企业回答最重要的安全问题之一:谁和什么可以访问关键资源?我们将复杂的身份和访问数据转化为清晰、可操作的洞察,使客户能够发现高风险访问,优先进行修复,并在问题演变为事件之前降低暴露风险。
我们正在寻找一位经验丰富的高级后端工程师,负责设计、开发、优化和维护使用AI提升访问智能、风险检测和修复工作流的访问安全功能。您将与跨职能团队合作,构建可在企业环境中可靠运行的安全、可扩展的后端服务和AI辅助工作流。该职位需要精通Go和Python,具备实际的AI集成经验,并在架构高性能服务方面具有领导能力。
您将负责:
· 与产品、设计和工程负责人合作,打造平衡创新、性能和业务影响的解决方案。
· 推动LLM框架、AI代理和AI驱动的访问智能的负责任使用,为身份和访问用例交付企业级功能。
· 探索身份和访问管理领域的新技术和模式,帮助我们提升客户价值,同时增强解决方案的弹性、可扩展性和性能。
· 参与团队交付的所有技术方面,包括架构、设计、质量、性能、可维护性和代码审查。
· 将自动化测试集成到开发流程中,确保发布版本的一致质量。
· 通过分享工程实践、提高质量标准和促进持续改进,指导和培养其他工程师
查看英文原文
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
The Access Security team is building the intelligence layer for the ServiceNow Veza Identity solution, helping enterprises answer one of the most important security questions: who and what can access critical resources? We turn complex identity and access data into clear, actionable insights so customers can uncover risky access, prioritize remediation, and reduce exposure before issues become incidents.
We are looking for a seasoned Staff Backend Engineer to architect, design, develop, optimize, and maintain Access Security features that use AI to improve access intelligence, risk detection, and remediation workflows. You will collaborate with cross-functional teams to build secure, scalable backend services and AI-assisted workflows that can operate reliably in enterprise environments. This role requires expertise in Go and Python, practical AI integration experience, and leadership in architecting high-performance services.
What you’ll do:
· Partner with product, design, and engineering leaders to craft solutions that balance innovation, performance, and business impact.
· Champion the responsible use of LLM frameworks, AI agents, and AI-driven access intelligence to deliver enterprise-ready capabilities for identity and access use cases.
· Explore emerging technologies and patterns in identity and access management that help us deliver greater customer value while improving solution resilience, scalability, and performance.
· Participate in all technical aspects of team deliverables, including architecture, design, quality, performance, maintainability, and code reviews.
· Integrate automated testing into development workflows to ensure consistent quality across releases.
· Mentor and guide other engineers by sharing engineering practices, raising quality standards, and fostering continuous improvement in testing, reliability, and production readiness.
· Own end-to-end feature delivery, steering capabilities from early design and architecture to release, operational oversight, and ongoing stability.
- Applied AI experience: Practical experience integrating AI, ML, or LLM capabilities into production workflows, such as decision support, risk analysis, automation, or security-focused access intelligence.
- Experience: 10+ years in backend software development, with deep technical hands-on experience building complex Enterprise production software.
- Languages & Architecture: Strong proficiency in Golang and other key programming languages (e.g., Python or Java), with a strong architectural vision.
- Data and APIs: Expertise designing and implementing RESTful, GraphQL, and gRPC APIs, with strong proficiency in data modeling, SQL, relational databases such as PostgreSQL, and graph technologies such as Neo4j.
- Systems Engineering: Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization.
- Leadership: Proven track record of leading major, cross-functional technical projects from conception to launch.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Soft Skills: Strong written and verbal communication skills.
- Preferred Qualifications:
- Domain Expertise: Prior experience in Identity and Access Management (IAM), IGA, and PAM solutions.
- Cloud & DevOps: Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Artificial Intelligence: Hands-on familiarity building with cutting-edge LLM frameworks and provider libraries like OpenAI, Anthropic, or Google.
- Quality & Testing: Familiarity with automated testing frameworks and integrating tests into CI/CD pipelines.
- Mindset: Strong sense of ownership and customer focus, with a passion for user experience and staying current with emerging technologies and industry trends.
- For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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