Distinguished Engineer
ServiceNow - Santa Clara, CALIFORNIA, United States
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 13, 2026
- Salary
- $254K-$445K From the posting source
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
213% above the BLS role benchmark for data and ml aggregate.
Posted salary is far from this role benchmark; treat it as low confidence.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered Verified - SEC 10-K source
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Distinguished Engineer Santa Clara, CALIFORNIA, United States Company Description: 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. Job Description: Cloud Platform - Kubernetes, Hyperscalers & Distributed Systems Org-wide technical authority. Sets direction across multiple engineering organizations and owns the hardest, most ambiguous problems in the platform domain. What you get to do in this role: • You will set the technical direction for our cloud-native platform across multiple engineering teams and organizations, defining the architecture and standards for how Kubernetes, distributed systems, and hyperscaler infrastructure are built and operated at scale. • You will own the hardest, most ambiguous technical problems in the platform domain - multi-cloud topology, control-plane design, workload isolation, identity and trust fabric, and reliability at the scale of hundreds of clusters and dozens of product workloads. • You will partner with engineering fellows, principal engineers, and other senior technical leaders to drive consistent architectural decisions and the
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