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Principal Embedded Software Engineer-17488
Northrop Grumman
Roy, UT · Roy
Experience using automation to regression test software products
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Sentinel Manager Test Network Engineering 2 - 20536
Northrop Grumman
Roy, UT · Roy
Network automation tools and scripting (for example, Python, PowerShell, or similar) to streamline configuration, deployment, and diagnostics
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Sr. Principal Software Development Analyst – Quality Engineering & Business Process Integration
Northrop Grumman
Roy, UT · San Diego, CA · Melbourne, FL · Palmdale, CA · Roy · San Diego · Melbourne · Palmdale
…standards, enhancing software quality practices, advancing test automation capabilities, and ensuring technology solutions integrate effectively with critical business…
Added 1 min ago
AI Automation Engineer II
Frost Bank
San Antonio, TX
…ensuring top-quality applications excite you? If so, being an AI Automation Engineer II with Frost could be for…
Added 2 mins ago
Vulnerability Security Engineer
Hewlett Packard Enterprise
All, MI
…driving remediation of security vulnerabilities while leveraging automation and AI-driven solutions to reduce cyber risk and improve operational efficiency. Your role will focus on the…
Added 2 mins ago
Systems/Software Engineer III
Hewlett Packard Enterprise
Sunnyvale, CA
Work closely with cross-functional teams to develop and execute functional level, scale and performance test scenarios using automation
Added 2 mins ago
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Lab Robotics Manager
GSK
Cambridge, MA
- $119,625 to $199,375 USD / year
In a technological environment that evolves at high pace, the Lab Robotics Manager will act as key enabler for the automation of the Scientific Area, Vx CL&AP, and DDS laboratories.…
Added 2 mins ago
Staff SW Engineer - Performance Engineering
Visa U.S.A. Inc.
Austin, TX
Automate Everything: Create intelligent automation for monitoring, deployment, and incident response.
Added 2 mins ago
Senior Manager, Enterprise Network and Telecommunications
Vail Resorts
NV
Encourage automation, standardization, observability and continuous improvement across network operations.
Added 2 mins ago
Engineering Operation Technician, RNO101
Amazon
Sparks, NV
…the role which includes fire/life safety equipment, building automation systems, and general facilities…
Added 2 mins ago
AU
Operations Manager - Security Services
Allied Universal
Reno, NV
- $53,000 USD / year
Proficiency in web-based applications and computer systems, including Microsoft Office and (BI) Business Intelligence tools for metrics analysis, reporting, automation, and presentations
Added 2 mins ago
Senior Enterprise Engineer - Salesforce Platform (EAA - STP)
Coinbase
Carson City, NV
Proven track record building and operating integrations between Salesforce and external systems using REST APIs, Platform Events, middleware/automation platforms, and ETL tooling
Added 2 mins ago
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Sr Software Engineer - Cloud Automation & AI Systems
Oracle
Carson City, NV
- $89,200 to $209,500 USD / year
Experience developing internal platforms, developer tools, or operational automation frameworks.
Added 2 mins ago
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Senior Core Infrastructure Engineer- Nashville,TN
Oracle
Carson City, NV
- $79,200 to $209,500 USD / year
Create and improve runbooks, diagnostic tools, and automation for common operational issues.
Added 2 mins ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Carson City, NV
- $133,100 USD / year
AI & Automation: Apply GenAI/LLM and emerging AI-agent technologies to automate engineering, testing, documentation, data quality, monitoring, and support.
Added 3 mins ago
Software Engineering, Team Manager
Pearson
Carson City, NV
…three opportunities across Vue Testing Services, OnVue Exam Developer and Test Delivery in United States. You will combine people leadership, delivery oversight, technical judgement and…
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Senior Project Manager- Life Sciences Research Services
Oracle
Carson City, NV
- $81,700 to $166,100 USD / year
…opportunities to responsibly adopt AI-enabled capabilities and automation that improve delivery quality, operational efficiency, and business…
Added 3 mins ago
Lead Product Owner - Edge
Lumen
Carson City, NV
Champion automation reliability testing observability security and operational readiness as core product requirements
Added 3 mins ago
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Principal AI Agent / Software Engineer- Nashville
Oracle
Carson City, NV
- $114,600 to $234,600 USD / year
…inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first…
Added 3 mins ago
Software Test Engineer
WCG Clinical
Carson City, NV
…tools (e.g., AI-assisted test case generation, self-healing automation, LLM-based output evaluation) in accordance with established validation and compliance…
Added 3 mins ago
ServiceNow- ServiceNow Moveworks AI Architect Manager - Tech Cons - Open Location
EY
Carson City, NV · Las Vegas, NV
Proven ability to configure and integrate Moveworks for automated ticket resolution, leveraging conversational AI and workflow automation across enterprise environments
Added 3 mins ago
ServiceNow - ServiceNow IT Service Management (ITSM) Manager- Tech Cons - Open Location
EY
Las Vegas, NV · Carson City, NV
…ticket summarization, knowledge recommendations, self-service automation, and service desk…
Added 3 mins ago
VP of Design and User Experience
Cengage Group
Las Vegas, NV
…technologies, including AI-enhanced user experience solutions and automation, to personalize education broadly. You will define the vision for a world-class Design and User Experience…
Added 3 mins ago
Business Consulting- Order to Cash (O2C) - Manager - Open Location
EY
Carson City, NV · Las Vegas, NV
Identify opportunities for improvement leveraging technologies such as automation, orchestration and AI, supporting a continuous improvement for our clients
Added 3 mins ago
Technical Analyst I
Indeed
Las Vegas, NV
Collaborate with subject matter experts, product teams, and engineering partners on solutions related to data aggregation, automation, and content quality.

ServiceNow

Senior Staff AI-Native DevOps Engineer

San Diego, CA, United States

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Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

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

About the team The Conversational AI team at ServiceNow builds the core platform behind ServiceNow Otto, our conversational AI experience. We are a group of applied scientists and software engineers working at the intersection of research and production. 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. 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. 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.

Qualifications

To be successful in this role you have:

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.
Experience leading complex infrastructure initiatives, establishing engineering best practices, and driving adoption across multiple teams.
Strong problem-solving skills, with the ability to diagnose complex distributed systems issues and drive improvements in performance, reliability, and operational efficiency.
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.
An AI-native engineering mindset, proactively leveraging AI tools and automation to accelerate development, improve operational efficiency, and deliver more intelligent, resilient systems.

DevOps:

Deploy, scale, and operate distributed microservices in production Kubernetes environments, including managing application lifecycle, networking, security, and service reliability.
Design and implement infrastructure automation using Infrastructure as Code (IaC) and Kubernetes-native tooling, including Terraform, Ansible, Helm, and Kubernetes Operators.
Build and maintain CI/CD pipelines and GitOps workflows using tools such as Jenkins, GitHub Actions, Tekton, and ArgoCD to automate testing, deployment, and release management.
Implement observability, monitoring, and incident response practices, performing root cause analysis and driving remediation to improve availability, fault tolerance, and operational resilience.
Architect and optimize cloud infrastructure across public and private cloud environments, with an emphasis on security, scalability, cost efficiency, and operational simplicity.

AI skills:

Artificial intelligence strategy is a critical skill at your level - it applies to how you build and to what you build.

Confident use of AI coding assistants such as GitHub Copilot or Cursor, paired with the critical eye to review AI-generated code as rigorously as any other - catching logic errors, security anti-patterns, and missed edge cases rather than treating model output as production-ready.
AI-assisted debugging and trace analysis, and a clear understanding of the data privacy rules governing what goes into a prompt.
Understanding of LLM-powered application architectures, including model inference, retrieval-augmented generation (RAG), tool calling, and agentic workflows, with an awareness of their infrastructure, scalability, and reliability implications.
Ability to deploy, operate, and troubleshoot AI-powered services in production, including managing model API integrations, observability, latency, resource utilization, and operational costs.

Minimum requirements

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.
Proficiency in at least one programming or scripting language, such as Go, Python, or Bash, with experience building production-grade automation and tooling.
Practical experience using AI-assisted development tools in software engineering workflows, with demonstrated ability to validate, debug, and safely integrate AI-generated code.
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.
Extensive experience architecting and operating Kubernetes-based SaaS platforms at scale, including multi-service deployments and complex production environments.
Experience developing Kubernetes Operators, custom controllers, or other Kubernetes-native automation to manage application lifecycle and infrastructure operations.
Demonstrated technical leadership in driving cross-team infrastructure initiatives, improving production reliability, and establishing scalable platform engineering practices.
Hands-on experience deploying, integrating, or operating LLM-powered applications or agentic systems in production environments. Experience building AI-enabled infrastructure automation, observability, incident diagnosis, or remediation workflows to improve platform reliability and engineering productivity.

For positions in this location, we offer a base pay of $181,200 - $317,100 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 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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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