ServiceNow
Senior Staff DevOps Engineer - Machine Learning
ServiceNow, Santa Clara, California, us, 95053
Overview
Join to apply for the
Senior Staff Machine Learning Engineer
role at
ServiceNow Please note
that this role requires you to be in our Santa Clara office for two days per week. Responsibilities
Contribute to the design, development and implementation of infrastructure, platform, deployment and observability features that power AI workloads. Collaborate with researchers, AI engineers, and infrastructure teams to ensure our GPU clusters perform efficiently, scale well, and remain reliable. Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling. Contribute to the execution of deployment and support activities for AI/ML developers; Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.); Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users; Experience with operating LLMs on NVIDIA GPUs. Be a mentor for colleagues and help promote knowledge-sharing. Qualifications
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Proficient in prompt engineering and developing LLM based features Experience with methods of training and fine tuning large language models, such as distillation, supervised fine-tuning and policy optimization Experience in using AI productivity tools such as Cursor, Windsurf, etc 6+ years of development experience with Python, GoLang, Java or similar languages; 8+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health; 6+ years of experience operating highly-available distributed workloads on Kubernetes following a DevOps approach. Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI); Strong working experience operating distributed systems built on Linux and J2EE; Experience with software-defined networking, infrastructure as code and configuration management; Experience building software for compliance and security in regulated environments Ability to drive outcome in projects with material technical risk. 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 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. 2025 Fortune Media IP Limited. All rights reserved. Used under license.
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Join to apply for the
Senior Staff Machine Learning Engineer
role at
ServiceNow Please note
that this role requires you to be in our Santa Clara office for two days per week. Responsibilities
Contribute to the design, development and implementation of infrastructure, platform, deployment and observability features that power AI workloads. Collaborate with researchers, AI engineers, and infrastructure teams to ensure our GPU clusters perform efficiently, scale well, and remain reliable. Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling. Contribute to the execution of deployment and support activities for AI/ML developers; Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.); Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users; Experience with operating LLMs on NVIDIA GPUs. Be a mentor for colleagues and help promote knowledge-sharing. Qualifications
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Proficient in prompt engineering and developing LLM based features Experience with methods of training and fine tuning large language models, such as distillation, supervised fine-tuning and policy optimization Experience in using AI productivity tools such as Cursor, Windsurf, etc 6+ years of development experience with Python, GoLang, Java or similar languages; 8+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health; 6+ years of experience operating highly-available distributed workloads on Kubernetes following a DevOps approach. Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI); Strong working experience operating distributed systems built on Linux and J2EE; Experience with software-defined networking, infrastructure as code and configuration management; Experience building software for compliance and security in regulated environments Ability to drive outcome in projects with material technical risk. 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 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. 2025 Fortune Media IP Limited. All rights reserved. Used under license.
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