Set technical direction for a cloud-native platform across multiple teams, design and build control planes, operators, and infrastructure abstractions, solve multi-cloud, multi-cluster, identity, and reliability problems, influence architecture organization-wide, and mentor senior engineers.
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 adoption of best practices across the entire platform ecosystem.• You will identify and mitigate the deepest technical risks in initiatives with C-suite visibility, and you will be the person leadership trusts to make the call on managed-vs-self-managed tradeoffs, substrate portability, and multi-hyperscaler strategy.• Where you see the need, you will personally design and build the critical components - control planes, operators, infrastructure abstractions, and the systems other teams build on top of.• You will mentor staff and principal engineers and shape the next generation of the organization's technical leadership.
Qualifications
To be successful in this role you have:• Experience leveraging or critically thinking about how to integrate AI into engineering and platform work - whether using AI-powered tooling, automating operational workflows, building agentic systems for fleet visibility and operations, or reasoning about AI's impact on how infrastructure is built and run.• 12+ years of experience designing, building, and operating large-scale distributed systems in production, with deep expertise running Kubernetes at scale (multi-cluster, multi-region, multi-tenant).• Hands-on, authoritative experience across one or more major hyperscalers (AWS, Azure, GCP), including their managed Kubernetes offerings (EKS, AKS, GKE) and the networking, IAM, and capacity tradeoffs that come with each.• A proven track record of providing technical leadership across multiple engineering teams, influencing architecture and direction without relying on positional authority.• Deep expertise in the core building blocks of a modern platform: the operator/controller pattern, infrastructure-as-code and control planes (e.g., Crossplane), GitOps-based delivery, container networking (CNI), and service mesh.• Strong programming skills in Go and fluency across the cloud-native ecosystem.
It also helps if you have:• Experience designing identity and trust fabrics for distributed systems - workload identity, mTLS, and standards such as SPIFFE/SPIRE.• Experience with multi-tenant workload isolation and runtime security (e.g., Kata Containers, sandboxed runtimes).• Experience building and operating platforms for regulated or federal markets (FedRAMP, air-gapped or self-hosted distribution, OCI bundling).• Experience with observability at scale - metrics, tracing, and SLO-driven operations across a large fleet.• A platform-as-product mindset: treating internal engineering teams as customers and the platform as a product with a roadmap, contracts, and a delivery pipeline.
JV20
For positions in this location, we offer a base pay of $254,500 - $445,400, 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.
Additional Information
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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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 [email protected] 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.
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 adoption of best practices across the entire platform ecosystem.• You will identify and mitigate the deepest technical risks in initiatives with C-suite visibility, and you will be the person leadership trusts to make the call on managed-vs-self-managed tradeoffs, substrate portability, and multi-hyperscaler strategy.• Where you see the need, you will personally design and build the critical components - control planes, operators, infrastructure abstractions, and the systems other teams build on top of.• You will mentor staff and principal engineers and shape the next generation of the organization's technical leadership.
Qualifications
To be successful in this role you have:• Experience leveraging or critically thinking about how to integrate AI into engineering and platform work - whether using AI-powered tooling, automating operational workflows, building agentic systems for fleet visibility and operations, or reasoning about AI's impact on how infrastructure is built and run.• 12+ years of experience designing, building, and operating large-scale distributed systems in production, with deep expertise running Kubernetes at scale (multi-cluster, multi-region, multi-tenant).• Hands-on, authoritative experience across one or more major hyperscalers (AWS, Azure, GCP), including their managed Kubernetes offerings (EKS, AKS, GKE) and the networking, IAM, and capacity tradeoffs that come with each.• A proven track record of providing technical leadership across multiple engineering teams, influencing architecture and direction without relying on positional authority.• Deep expertise in the core building blocks of a modern platform: the operator/controller pattern, infrastructure-as-code and control planes (e.g., Crossplane), GitOps-based delivery, container networking (CNI), and service mesh.• Strong programming skills in Go and fluency across the cloud-native ecosystem.
It also helps if you have:• Experience designing identity and trust fabrics for distributed systems - workload identity, mTLS, and standards such as SPIFFE/SPIRE.• Experience with multi-tenant workload isolation and runtime security (e.g., Kata Containers, sandboxed runtimes).• Experience building and operating platforms for regulated or federal markets (FedRAMP, air-gapped or self-hosted distribution, OCI bundling).• Experience with observability at scale - metrics, tracing, and SLO-driven operations across a large fleet.• A platform-as-product mindset: treating internal engineering teams as customers and the platform as a product with a roadmap, contracts, and a delivery pipeline.
JV20
For positions in this location, we offer a base pay of $254,500 - $445,400, 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.
Additional Information
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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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 [email protected] 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.
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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
