Jobs in the United States

25+ jobs

Save this search

Added 1 hour ago
C
Test and Evaluation Engineer II - Data Analyst
Credence
Aberdeen Proving Ground, MD
- $110,000 to $150,000 USD / year
Credence has an immediate need for a self-motivated Test and Evaluation Engineer II to support the development, testing, analysis, and evaluation of Positioning, Navigation, and Timing…
Added 1 hour ago
Avionics Engineer B-2 (WBZ) 01.6.14 & 01.6.28
Credence
WPAFB, OH
Credence has an immediate opening for an Avionics Engineer at the senior to support the B-2 Division who is responsible for the modernization, test, production, fielding and sustainment of…
Added 1 hour ago
Cloud Platform Engineer- Entry Level
Credence
Remote, United States
Credence is seeking an entry/junior-level Cloud Platform Engineer to support secure AWS hosting environments for Department of War customers. You will join an established platform team,…
Added 4 hours ago
Staff Software Engineer
Conga
Boston, MA · Houston, TX
The Staff Software Engineer is a hands-on backend role focused on building the Java services that power real-time pricing across Conga's platform. This position is responsible for designing…
Added 7 hours ago
Senior Forward Deployed Engineer
Raydar
Remote, United States
- Design and build AI-driven agents and analytical products on top of shared internal platform components.
Added 9 hours ago
OS
Lead Software Engineer/Technical Program Manager
Odyssey Systems Cons
Colorado Springs, CO
- $31,533 USD / year
We are seeking a Lead Software Engineer / Technical Program Manager to own both the technical architecture and program execution of the Multimode Threat Engagement Simulation Platform - a…
Added 9 hours ago
UO
Senior Software Engineer (Limited-Term)
University of Colorado Denver
Boulder, CO
- $95,000 to $104,440 USD / year
We're seeking a thoughtful, collaborative engineer to join our team and help us design, develop, and maintain a comprehensive financial forecasting and grant management application used by…
Added 10 hours ago
V
Staff Software Engineer Backend
Veritone
NEW YORK, NY
- $185,000 to $200,000 USD / year
Added 10 hours ago
S
Principal or Staff Product Security Engineer
Skylight
Remote, United States
- $200,000 to $250,000 USD / year
You'll own the day-to-day execution of our product security program across our cloud backend, mobile apps, and Android platform. You'll triage and drive remediation of vulnerabilities, run…
Added 12 hours ago
Senior Software Engineer
Braven
Remote, United States
…Fellows over the next decade, Braven is hiring a Senior Software Engineer to lead the design and delivery of the platform, tools, and automation that power Braven’s programs. On the Systems…
Added 12 hours ago
Senior Software Engineer
Braven
Remote, United States
…Fellows over the next decade, Braven is hiring a Senior Software Engineer to lead the design and delivery of the platform, tools, and automation that power Braven’s programs. On the Systems…
Added 13 hours ago
W
Staff, Data Engineer | Bentonville, Arkansas
Walmart
BENTONVILLE, AR
- $110,000 to $220,000 USD / year
Walmart is seeking a Staff Data Engineer to design and implement scalable data solutions that support business objectives across multiple domains. This role involves translating complex…
Added 13 hours ago
W
Staff, Software Engineer
Walmart
Sunnyvale, CA
- $143,000 to $286,000 USD / year
Join Walmart as a Staff Software Engineer to lead the design, development, and deployment of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks. This…
Added 13 hours ago
W
(USA) Staff, Software Engineer
Walmart
BENTONVILLE, AR
- $110,000 to $220,000 USD / year
Walmart is seeking a Staff Software Engineer to lead the development and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks. This role…
Added 14 hours ago
HPC Systems Engineer
University Corporation for Atmospheric Research
Boulder, CO
…power cutting-edge Earth system science! As an HPC Systems Engineer, you will play a pivotal role in engineering and managing CISL's world-class computational, storage, archival, and…
Added 17 hours ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Jefferson City, MO
…obligations governing AI use. This role implements and operates platform configuration to the requirements defined by Information Security and AI GRC. Governance, policy, risk acceptance,…
Added 17 hours ago
GA
Sr Staff Applications Operations Engineer - Engineering Tools Automation & AI Ops
GE Aerospace
Saint Louis, MO
- $131,000 to $174,000 USD / year
+ Experience leading platform migrations, including legacy source control to Git-based tools (e.g., GitHub).
Added 17 hours ago
GA
Sr Staff Applications Operations Engineer - Engineering Tools Automation & AI Ops
GE Aerospace
Kansas City, MO
- $131,000 to $174,000 USD / year
+ Experience leading platform migrations, including legacy source control to Git-based tools (e.g., GitHub).
Added 17 hours ago
M
Senior Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
As a Staff Engineer - AI Infrastructure Reliability in the AI Infrastructure Engineering Systems team, you will design, implement, and ensure the reliability and quality of engineering…
Added 19 hours ago
AC
Staff / Principal Data Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $180,000 to $270,000 USD / year
We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform…
Added 19 hours ago
AC
Staff / Principal Platform Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $185,000 to $270,000 USD / year
We’re looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate’s AI products. You combine deep DevOps and cloud infrastructure…
Added 19 hours ago
AC
Senior/Staff/Principal AI/ML Engineer - Agentic AI Security
AppGate Cybersecurity, Inc.
Remote, United States
- $180,000 to $300,000 USD / year
We're looking for a AI/ML Engineer (Senior/Staff/Principal) - Agentic AI Security who will design, build, and operationalize the detection algorithms, ML inference pipelines, and risk…
Added 19 hours ago
Senior Solutions Engineer
Dossier
Remote, United States
Dossier is the competency management platform built only for healthcare. For 25 years we have helped health systems turn evidence-based practice into measurable improvement across nursing,…
Added 19 hours ago
Senior Software Engineer
Murmuration
Remote, United States
As a Senior Software Engineer, you’ll be responsible for designing, building, and evolving the systems and services that power the Organizer platform. You’ll tackle complex technical…
Added 19 hours ago
SU
Mobile / UI/UX Engineer
Stanbridge University
Remote, United States
- $115,000 to $150,000 USD / year
Stanbridge University is seeking a highly capable, product-minded Mobile / UI/UX Engineer to design, develop, and enhance our growing ecosystem of student-facing digital platforms.

ServiceNow

Staff AI-Native DevOps Engineer

San Diego, CA, United States

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job