ServiceNow
Senior Staff AI-Native DevOps Engineer
Santa Clara, CALIFORNIA, United States · Staff+ · Contract
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$20,074 more — $221,374 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,374 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 90%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We are a group of applied scientists and software engineers working at the intersection of research and production.
- Your work will span CI/CD pipelines, release automation, infrastructure on Kubernetes, observability, and the operational tooling that lets agent orchestration, MCP and A2A services, and the central caching layer ship safely and frequently.
- Experience leading complex infrastructure initiatives, establishing engineering best practices, and driving adoption across multiple teams.
Responsibilities
- 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.
- We're building an AI-native culture where technology and talent are unstoppable together.
- Deep expertise in designing, building, and operating scalable, reliable, and secure cloud-native applications and infrastructure.
- Strong software engineering skills, with experience developing infrastructure tooling and automation using Go, Python, or similar languages.
- Strong problem-solving skills, with the ability to diagnose complex distributed systems issues and drive improvements in performance, reliability, and operational efficiency.
- An AI-native engineering mindset, proactively leveraging AI tools and automation to accelerate development, improve operational efficiency, and deliver more intelligent, resilient systems.
Requirements
- Proficiency in at least one programming or scripting language, such as Go, Python, or Bash, with experience building production-grade automation and tooling.
- Extensive experience architecting and operating Kubernetes-based SaaS platforms at scale, including multi-service deployments and complex production environments.
- Hands-on experience deploying, integrating, or operating LLM-powered applications or agentic systems in production environments.
- Strong understanding of modern AI technologies, including Large Language Models (LLMs), Generative AI, and agentic architectures, with the ability to apply these concepts to engineering and operational challenges.
Skills
- AI-assisted debugging and trace analysis, and a clear understanding of the data privacy rules governing what goes into a prompt.
- 8+ years of professional software engineering, infrastructure engineering, DevOps, or related experience.
- 6+ years of experience deploying and operating containerized applications and distributed services in production environments.
- 4+ years of hands-on experience with Kubernetes, cloud infrastructure, and infrastructure automation.
- Working knowledge of LLMs, Generative AI, and agentic AI concepts, including their integration patterns and operational considerations.
- Preferred requirements
- 12+ years of experience in software engineering, infrastructure engineering, DevOps, or platform engineering.
Compensation
- $201k-$352k
Company info
- The Conversational AI team at ServiceNow builds the core platform behind ServiceNow Otto, our conversational AI experience.
- Our work spans the full stack that makes Otto capable:
- agent orchestration, including harness engineering, prompt tuning, agent skills, policy design, and quality evaluation across languages; the A2A and MCP protocols that let agents collaborate and connect to tools; background channels and conversational triggers that bring agents into action; AI-native licensing and pricing; and the central caching layer that connects the ServiceNow platform to the services powering Otto.
- We are seeking a Staff AI-Native DevOps Engineer to lead a new DevOps practice within the Conversational AI team.
- You will own the build, deployment, and reliability of the systems behind ServiceNow Otto, our conversational AI platform, from commit through production across our SaaS environments.
- You will partner closely with applied scientists and software engineers to make AI-native delivery repeatable, measurable, and secure.
- This role combines deep expertise in cloud infrastructure, containerization, orchestration, and infrastructure as code with a practical understanding of how ML and LLM-based services behave in production, and a bias toward pragmatic engineering with measurable impact on deployment velocity and service reliability.
- Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better.
Equal opportunity
- 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 law.
- In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
- Accommodations
Visa & Work Authorization
- Export Control Regulations
This listing is sourced directly from ServiceNow's careers page and normalized into a canonical job model.