Jobs in the United States

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Added 12 mins ago
Remote AI Application Engineer
Insight Global
Upper Providence, PA
One of our leading pharmaceutical clients is seeking an AI Application Engineer to design and build AI-enabled applications supporting early-stage drug discovery and scientific research.
Added 23 mins ago
AI Solutions Developer
Stepan Company
Northbrook, IL
…Power Platform, Azure), we are looking for a well-rounded AI engineer who can apply the best tools and frameworks for the problem - including modern LLM frameworks, agent orchestration…
Added 23 mins ago
Senior Machine Learning Engineer
Themis Solutions Inc.
Remote, United States
We are currently seeking a Senior Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and…
Added 28 mins ago
Senior AI Engineer (Casualty / Claims Intelligence)
CCC Intelligent Solutions Inc.
Remote, United States
As a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC…
Added 32 mins ago
IG
Sr. DevOps Engineer - GCP
Insight Global
Remote, United States
- From $68 USD / hour
- Engineering, Information Systems, related field, or equivalent experience.
Added 36 mins ago
Software Development Engineer, Eva Development Team
Amazon Data Services, Inc.
Bellevue, WA
Join the Data Center Gen AI team, where we build generative AI solutions for AWS data centers. Our systems orchestrate physical work processes across AWS's worldwide data centers, directly…
Added 36 mins ago
Senior Software Development Engineer, AWS EC2 Nitro Team
Amazon Development Center U.S., Inc.
Santa Clara, CA
We are looking for an experienced software engineer to drive development for new EC2 machine learning platforms. In this role, the engineer will work with a broad and deep group of…
Added 41 mins ago
AI Automation Engineer II
Frost Bank
San Antonio, TX
As an AI Automation Engineer II, you believe in the power of AI. You’ll play an important role in the development, design, and deployment of AI solutions to ensure the quality and stability…
Added 42 mins ago
Machine Learning / AI Engineer
Bose Corporation, U.S.A
Remote, United States
At Bose, we believe sound is the most powerful force on earth. As a Machine Learning / AI Engineer, you’ll help bring that belief to life - developing intelligent capabilities for the next…
Added 46 mins ago
Data Support Manager
Bank of America, National Association
United States
Under the GRM Data Strategy & Management leadership team, the Data Analyst / AI Engineer will design, build and operationalize quantitative models and agentic AI solutions for complex risk…
Added 1 hour ago
WI
(USA) Principal, Software Engineer
Walmart Inc.
Bentonville, AR
- $110,000 to $220,000 USD / year
Join Walmart Global Tech’s Growth Tech Marketplace team as a Principal Software Engineer, where you will lead the design of scalable, cross-service architectures that support international…
Added 1 hour ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Concord, NH
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 1 hour ago
O
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 1 hour ago
Software Engineer, Big Data, Tech Enablement
ZipRecruiter
Remote, United States
Data Infrastructure & Systems: We help developers at ZipRecruiter sustainably follow best practices and implement robust solutions by allowing engineers and data scientists to focus less on…
Added 1 hour ago
Software Engineer, Big Data, Tech Enablement
ZipRecruiter
Santa Monica, CA
Data Infrastructure & Systems: We help developers at ZipRecruiter sustainably follow best practices and implement robust solutions by allowing engineers and data scientists to focus less on…
Added 1 hour ago
Senior Software Engineer, Big Data, Tech Enablement
ZipRecruiter
Santa Monica, CA
Data Infrastructure & Systems: We help developers at ZipRecruiter sustainably follow best practices and implement robust solutions by allowing engineers and data scientists to focus less on…
Added 1 hour ago
Senior Software Engineer, Big Data, Tech Enablement
ZipRecruiter
Remote, United States
Data Infrastructure & Systems: We help developers at ZipRecruiter sustainably follow best practices and implement robust solutions by allowing engineers and data scientists to focus less on…
Added 1 hour ago
AF
Senior GenAI Developer
Accenture Flex LLC Company
United States
- $50 to $60 USD / hour
As an AI / ML Engineer, you will be responsible for developing applications and systems that utilize artificial intelligence tools and cloud artificial intelligence services, ensuring…
Added 1 hour ago
Senior Agentic Insights Engineer
NVIDIA USA
CA
We’re looking for a Senior Agentic Insights Engineer to be the hands-on technical builder behind this transformation. In this role, you’ll develop and operate the agentic infrastructure…
Added 1 hour ago
Staff Software Engineer - Agentic Automation
NVIDIA USA
CA
We're hiring an engineer to own the engineering efforts across NVIDIA enterprise systems. You'll partner with IT leadership to transform reactive support into strategic, AI infused…
Added 1 hour ago
Senior AI Engineer
NVIDIA USA
CA
…develop the future of agentic AI at scale. As the Senior AI Engineer in Operations, you implement our vision for codifying our decision logics and implement decision intelligence ensuring…
Added 1 hour ago
Principal Engineer - AV Simulation and Evaluation
NVIDIA USA
CA
We are seeking a Principal Software Engineer to architect and build core platform systems to accelerate Physical AI development, such as Autonomous Driving (AV) & Robotics. This is a…
Added 1 hour ago
Advanced Ground System Engineer
The Mitre Corporation
Chantilly, VA
MITRE is seeking a technically exceptional Lead Space System Engineer to support the National Reconnaissance Office (NRO) Advanced Systems & Technology Directorate (AS&T) Accelerate System…
Added 2 hours ago
ServiceNow Engineer
UnitedHealth Group
Eden Prairie, MN
As a Software Engineer within Optum Technology, you will be part of a high-performing team dedicated to driving enterprise service management modernization and delivering innovative,…
Added 2 hours ago
HI
Senior Data Engineer
Hunter Industries Brand
Remote, United States
- $115,000 to $145,000 USD / year
Hunter Industries is seeking a Senior Data Engineer who designs, develops, and maintains enterprise data systems and pipelines that enable the organization to use data as a strategic asset.…

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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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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