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Senior Staff Software Engineer (Access Security)

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Onsite

Senior Staff Software Engineer (Access Security)

ServiceNow

Senior Staff Software Engineer (Access Security)

Skills

Google Cloud PlatformSQL QueriesDockerPythonGolangJavaPostgreSQLNeo4jGraphQLMachine LearningAIAWSKubernetesServiceNowAzure

17 days ago

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Important information


Contract type:

Permanent

Salary:

$171,900 – $300,800 / year

Location:

Minneapolis, MN, USA

Work mode:

Onsite

Published on:

4 October 2026

What they need


  • 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
  • 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

Benefits

  • Generous family leave
  • Matched donations
  • Annual learning stipends
  • Flexible PTO
  • Competitive retirement plan
  • Paid volunteer time- Experience: 10+ years in backend software development, with deep technical hands-on experience building complex Enterprise production software
  • 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
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Languages & Architecture: Strong proficiency in Golang and other key programming languages (e.g., Python or Java), with a strong architectural vision
  • Soft Skills: Strong written and verbal communication skills
  • Leadership: Proven track record of leading major, cross-functional technical projects from conception to launch
  • 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
  • Systems Engineering: Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
  • Cloud & DevOps: Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
  • Domain Expertise: Prior experience in Identity and Access Management (IAM), IGA, and PAM solutions
  • 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

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