Jobs in the United States

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Added 8 days ago
IG
Agentic Developer
Insight Global
Remote, United States
- $155,000 to $225,000 USD / year
…systems into modern, AI-driven platforms. We expect you to be a "Full-Stack Agent Engineer." You should be comfortable taking complex business requirements and building a multi-step AI…
Added 8 days ago
Sr. Machine Learning Engineer (Remote)
CrowdStrike
Nashville, TN
…redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is…
Added 8 days ago
2027 Software Engineering Grad Intern
The Aerospace Corporation
El Segundo, CA
Must possess strong organizational, time management and project management skills
Added 8 days ago
Software and AI Engineer
CoreWeave
CA / Bellevue, WA · Livingston, NJ · Manhattan, NY · San Francisco, CA · Sunnyvale, CA
…intuitive. You’ll work across applied AI, product design, and full-stack engineering - from agentic workflows built with integration platforms and AI frameworks to React interfaces and…
Added 8 days ago
VL
Staff Network Engineer (AI Infrastructure)
vCluster Labs
Remote, United States
- $170,000 to $210,000 USD / year
- Software engineering ability: You write production code in Go or Python, use version control and code review as a matter of course, and think of network config as code.
Added 8 days ago
Sr. AI Transformation Engineer
Roku
San Jose, CA
…including Legal, FP&A, Accounting, Brand, Customer Support, and Engineering - to discover the highest-value opportunities for AI-powered automation and deliver production-grade solutions.…
Added 8 days ago
Agentic Developer
Insight Global
Westlake, TX
…systems into modern, AI-driven platforms. We expect you to be a "Full-Stack Agent Engineer." You should be comfortable taking complex business requirements and building a multi-step AI…
Added 8 days ago
SI
Lead Full Stack Security (Systems & Software) Engineering (GRC)
Salesforce, Inc.
WA · CO
- $172,500 to $260,100 USD / year
…Risk, and Compliance (GRC) platform at Salesforce. As a lead full stack engineer, you own the architecture, technical roadmap, and delivery of the platform's core engines, including policy…
Added 8 days ago
Senior Staff AI-Native DevOps Engineer
ServiceNow
San Diego, CA
…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…
Added 8 days ago
Staff AI-Native DevOps Engineer
ServiceNow
San Diego, CA
…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…
Added 8 days ago
Application Development Architect
Ontrac Solutions
Remote, United States
Java and Spring Boot depth, with working knowledge of at least one other backend stack such as Node.js/TypeScript or Python
Added 8 days ago
Investigator/AI Developer
Accenture LLP Company
NY
(If Associate’s Degree, must have minimum 6 years work experience)
Added 8 days ago
NC
Senior Full-Stack Engineer
Nadia Care
Remote, United States
- $140,000 to $155,000 USD / year
Nadia Care is looking for a Senior Full-Stack Engineer to join our mission-driven engineering team. You will be a high-impact individual contributor responsible for building and scaling…
Added 8 days ago
Principal Enterprise Architect, Unified Search & Book
Priceline.com LLC
Norwalk, CT · NY
Hands-on software engineering background with strong full-stack technical credibility; strong preference for Java or Spring Boot and Python, plus fluency in API design, event-driven…
Added 8 days ago
Quality Assurance Engineer
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
…systems and environments they model. You'll work alongside full-stack developers, M & S engineers, platform engineers, and UX practitioners to catch issues early and help build quality into…
Added 8 days ago
SH
Staff Software Engineer I, AI Transformation
Spring Health
New York, NY
- $208,000 to $258,000 USD / year
Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date
Added 8 days ago
Staff Engineer / AI Builder - Mountain View
Robots and Pencils
Remote, United States
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 8 days ago
HA
All Levels: Product Engineer
Hadrian Automation
San Francisco Bay Area, CA · Torrance, CA
- $223,000 to $359,000 USD / year
…writing code, primarily in React, Next.js, TypeScript, Go, and Python, but we care more about engineering judgment than familiarity with our…
Added 8 days ago
Sr. Software Engineer – AI and Automation (Team Breeze)
Travelers Indemnity Co
Hartford, CT · Atlanta, GA
What is a Must Have
Added 8 days ago
AI Platform Engineer
Capgemini
Atlanta, GA, GA
Strong production engineering: Python plus one systems language (Go or Rust welcome), Kubernetes, infrastructure-as-code, and one major cloud
Added 8 days ago
Lead Software Engineer - Java Full Stack
Wells Fargo Bank, N. A.
IRVING, TX · CHARLOTTE, NC · ISELIN, NJ
…technological opportunities and requirements into technical engineering…
Added 8 days ago
SI
Senior Software Engineer
Skyward IT Solutions, LLC
Remote, United States
- $120,000 to $150,000 USD / year
Design, build, and scale full-stack applications using modern backend frameworks (Python/FastAPI or similar) and dynamic frontend technologies (React or comparable frameworks).
Added 8 days ago
Distinguished Engineer Software (Cortex Platform)
Palo Alto Networks, Inc.
CA
Drive adoption of AI-native architectures, agentic AI, and intelligent automation across engineering workflows.
Added 8 days ago
AI Platform Engineer
Capgemini
Atlanta, GA, GA
Strong production engineering: Python plus one systems language (Go or Rust welcome), Kubernetes, infrastructure-as-code, and one major cloud
Added 8 days ago
AI Full Stack Engineer
Prodapt
Irving
Knowledge and working experience with Figma, Windsurf, Replit are a must have

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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Work requirements

Jobs in the United States