Jobs in the United States

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Added 2 hours ago
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Principal AI Agent / Software Engineer- Nashville
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
The Principal AI Agent / Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle…
Added 2 hours ago
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Staff Software Engineer, Vanta for Government
Vanta
Remote, United States
- $260,000 to $306,000 USD / year
As a Staff Software Engineer on the Vanta for Government team, you'll set the technical foundation for Vanta's expansion into the public sector: designing the systems, patterns, and…
Added 2 hours ago
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Staff Software Engineer - Builder Platform
Temporal Technologies
Remote, United States
- $212,000 to $278,250 USD / year
Join our Builder Platform Team as a Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents,…
Added 2 hours ago
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Senior Staff Software Engineer - Builder Platform
Temporal Technologies
Remote, United States
- $260,000 to $341,250 USD / year
Join our Builder Platform Team as a Senior Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for…
Added 3 hours ago
Staff Engineer, Design Verification
Micron Technology
San Jose
As a Staff Design Engineer at Micron Technology, Inc., you will be responsible for designing and analyzing digital and analog circuits used in the development of memory products! We are…
Added 4 hours ago
Supervisory Civil Engineer (Hydraulics)
U.S. Army Corps of Engineers
Pittsburgh, PA
Added 4 hours ago
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Project Engineer II
Stanford Health Care
United States
- $60.99 to $80.78 USD / hour
The Project Engineer II is expected to proactively identify risks and inconsistencies and provide technical guidance to junior project engineering staff. This role supports projects of…
Added 5 hours ago
Principal Software Engineer
Pearson
Hoboken, NJ
…beyond front end and back end: the work spans user interfaces, workflow orchestration, AI, backend services, and cloud infrastructure. You will stay deep in design and implementation while…
Added 5 hours ago
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AI Staff Engineer (Addison, TX)
TEKsystems
Addison, TX
- $175,000 to $200,000 USD / year
Apache Airflow / Dagster: Centralized DAG system orchestrating cross-system dependencies, sensor alerts, and workflow execution.
Added 5 hours ago
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Principal AI Agent / Software Engineer- Nashville
Oracle
Concord, NH
- $114,600 to $234,600 USD / year
The Principal AI Agent / Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle…
Added 5 hours ago
Software Engineering Manager, Cloud DNS Authoritative Name Serving
Google
New York, NY
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 5 hours ago
HPC Engineer
GD Information Technology, Inc.
United States
We are seeking an HPC Engineer to join a Scientific Technologies team supporting high-performance computing (HPC) and scientific research at NIAID. This role focuses on the administration,…
Added 5 hours ago
Sr. Staff Software Engineer, Agentic Applications
Databricks
Mountain View, CA
Senior Staff Software Engineer, Agentic Applications
Added 6 hours ago
Data Engineer
IQ Sig
Alexandria, VA
The Data Engineer serves as the principal technical authority and hands-on builder for enterprise data architecture, pipelines, and data platform capabilities across classified and…
Added 6 hours ago
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Staff Software Engineer, AI
Robert Half
Minneapolis, MN
- $175,000 to $250,000 USD / year
We are looking for a Staff Software Engineer, AI to help build the core platform that powers enterprise-grade intelligent agents in Minneapolis, Minnesota. In this role, you will tackle…
Added 6 hours ago
Staff IAM Engineer - Ping Identity and Directory Services
CVS Health
Work at Home, TX · Work At Home, AK · Work At Home, AL · Work At Home, AR · Work At Home, AZ · Work At Home, CA · Work At Home, CO · Work At Home, CT · Work At Home, DC · Work At Home, DE · Work At Home, FL · Work At Home, GA · Work At Home, HI · Work At Home, IA · Work At Home, ID · Work At Home, IL · Work At Home, IN · Work At Home, KS · Work At Home, KY · Work At Home, LA · Work At Home, MA · Work At Home, MD · Work At Home, ME · Work At Home, MI · Work At Home, MN · Work At Home, MO · Work At Home, MS · Work At Home, MT · Work At Home, NC · Work At Home, ND · Work At Home, NE · Work At Home, NH · Work At Home, NJ · Work At Home, NM · Work At Home, NV · Work At Home, NY · Work At Home, OH · Work At Home, OK · Work At Home, OR · Work At Home, PA · Work At Home, RI · Work At Home, SC · Work At Home, SD · Work At Home, TN · Work At Home, UT · Work At Home, VA · Work At Home, VT · Work At Home, WA · Work At Home, WI · Work At Home, WV · Work At Home, WY
As a Senior IAM Engineer, you will support and enhance enterprise Identity and Access Management (IAM) platforms, including Ping Identity, LDAP directory services, and authentication…
Added 6 hours ago
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26-124 Research Data Engineer/Statistical Programmer Part-time
Colorado State University
Remote, United States
- Part-time
…Survey (QRS) project seeks a part-time (70% FTE) Research Data Engineer or Statistical Programmer to develop and maintain a reproducible data-management system for surveys of public…
Added 7 hours ago
DH
Staff Software Engineer
Develop Health
San Francisco Bay Area, CA
- $250,000 to $300,000 USD / year
We're looking for a Staff Software Engineer who wants to set the direction for AI products that do real work in healthcare, and still write a lot of the code. You'll lead projects that span…
Added 7 hours ago
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Staff Software Engineer ML Platform (6244)
Shield AI
San Diego, CA · San Mateo, CA
- $200,000 to $300,000 USD / year
As a Senior Staff Engineer, you will help build the reference architecture used internally by our engineering teams and delivered to customers building their own AI capabilities. Your work…
Added 7 hours ago
Staff Software Engineer
Mercury Insurance Services, LLC
United States
As a Staff Software Engineer, you will provide technical leadership and direction for multiple agile teams or projects to implement prioritized software product roadmaps. This role includes…
Added 7 hours ago
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Staff Engineer, Data Platform
DRW
Chicago, IL
- $200,000 to $275,000 USD / year
As a Staff Engineer focused on the Data Platform, you will bring experience scaling data platforms to shape and uphold DRW’s long-term data platform vision, translating data strategy into…
Added 7 hours ago
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Senior Lead Electrical Engineer, Mission Critical
DLB Associates
Remote, United States
- $160,000 to $230,000 USD / year
The Senior Lead Electrical Engineer, Mission Critical will have the opportunity to collaborate with all design staff and oversee full cycle electrical design activities for commercial…
Added 7 hours ago
DA
Senior Lead Electrical Engineer, Datacenter
DLB Associates
Remote, United States
- $160,000 to $230,000 USD / year
The Senior Lead Electrical Engineer, Datacenter will have the opportunity to collaborate with all design staff and oversee full cycle electrical design activities for commercial building…
Added 7 hours ago
DA
Lead Electrical Engineer, Mission Critical
DLB Associates
Remote, United States
- $138,000 to $184,000 USD / year
The Lead Electrical Engineer, Mission Critical will have the opportunity to collaborate with all design staff and oversee full cycle electrical design activities. This person will work as…
Added 7 hours ago
DA
Lead Electrical Engineer, Datacenter
DLB Associates
Remote, United States
- $138,000 to $184,000 USD / year
The Lead Electrical Engineer, Datacenter will have the opportunity to collaborate with all design staff and oversee full cycle electrical design activities. This person will work as part of…

ServiceNow

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 join 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

8+ 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 $158,500 - $277,400, 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, 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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More about this job

Skills

ServiceNow
DevOps
CI/CD
Kubernetes
Infrastructure as code
ML
Go
Python
Problem solving
Microservices
IBM Terraform
Ansible
Jenkins
GitHub
Incident response
Root cause analysis
Organisational resilience
Troubleshoot
Bash
Leadership
Sales

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