Job description

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 Sr 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. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Requirements

Must-haves

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.

Nice-to-haves

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.
Work Personas

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigopythonllmmlgolangjavagraphqlsqlawsazuregcpdockerkubernetesci/cd

Platform: smartrecruiters
Effort: medium

Benefits

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Vision

401(K)