Staff Software Engineer Data Platform Kubernetes Distributed Systems Federal

Position Location:
This is a Flexible (Hybrid) position.  Flexible positions require 2 days per week in a ServiceNow office location.  We have offices in several locations including San Francisco CA; Pleasanton CA; Santa Clara CA; San Diego CA; and Kirkland WA

Please Note:  This position will include supporting our US Regulated Markets.
This position requires passing a ServiceNow background screening USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening.  Due to Federal requirements only US citizens US naturalized citizens or US Permanent Residents holding a green card will be considered.

About the team:
As a Staff Software Engineer with the Data Platform organization you will be responsible for designing and implementing features and services within our cloud-native platform.

What you get to do in this role:

• You will design build and operate components and services within the cloud-native platform taking features from design through to production.
• You will lead well-scoped projects within your team turning requirements and rough ideas into solid technical designs and delivering them.
• You will collaborate with senior staff and principal engineers to align your work with the platforms architecture and standards.
• You will contribute to the reliability scalability and operability of what you build writing tests and instrumentation improving runbooks and participating in on-call.
• You will spend most of your time hands-on building operators controllers automation and platform services that other teams depend on.
• You will help onboard and mentor junior engineers through code review design feedback and pairing.

Qualifications :

To be successful in this role you have:

• Experience leveraging or critically thinking about how to integrate AI into engineering work whether using AI-powered coding and operational tooling automating workflows or reasoning about how AI changes the way software and infrastructure are built.
• 8 years of software development experience with a Bachelors degree; OR 5 years with a Masters degree; OR 3 years with a PhD; OR equivalent work experience.
• 5 years of hands-on experience building deploying and operating workloads on Kubernetes.
• Working experience with at least one major hyperscaler (AWS Azure GCP) including its core compute networking and IAM primitives.
• A track record of delivering complex features or services as a key contributor.
• Solid working knowledge of containers CI/CD and GitOps-based delivery and infrastructure-as-code.
• Strong programming skills in Go (or another systems language with a willingness to work primarily in Go).

It also helps if you have:

• Experience building Kubernetes controllers or working with the operator pattern.
• Familiarity with container networking (CNI) or service mesh.
• Experience with workload identity mTLS or secrets management.
• Experience with observability metrics tracing and dashboards.

For positions in this location we offer a base pay of $149800 - $262200 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 religion sex sexual orientation national origin age disability gender identity  veteran status or any other category protected by 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 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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Remote Work :

No

Employment Type :

Full-time