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Senior Specialist, Information Security Systems Engineer 1
L3Harris Technologies
Greenville, TX
L3Harris Technologies is seeking an Information Systems Security Engineer (ISSE) to join our Sensor Infrastructure team. The ideal candidate is a go-getter with comprehensive knowledge of…
Added 2 mins ago
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Application Engineer
Actalent
Greenville, SC
- $43.7 to $48.7 USD / hour
Job Title: Application Engineer Windows Virtual Desktop (VDI)Job DescriptionThis role serves as the primary technical owner of the Windows Virtual Desktop Infrastructure (VDI) for an…
Added 2 mins ago
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Electrical Engineer
Actalent
Dallas, TX
- $40 to $65 USD / hour
Electrical Engineer Power Distribution Equipment
Added 2 mins ago
Mechanical Engineer III
Specialty Vehicles Orlando
United States
…RV's, and machinery supporting construction, utilities, and infrastructure. With operations across the U.S. and globally, we are committed to safety, innovation, and quality while building…
Added 2 mins ago
Mechanical Engineer - Entry Level
Ferrara
United States
…RV's, and machinery supporting construction, utilities, and infrastructure. With operations across the U.S. and globally, we are committed to safety, innovation, and quality while building…
Added 2 mins ago
Engineer II Mechanical
Spartan LT (Ephrata)
United States
…RV's, and machinery supporting construction, utilities, and infrastructure. With operations across the U.S. and globally, we are committed to safety, innovation, and quality while building…
Added 2 mins ago
Electrical Engineer - Entry Level
Spartan Chassis (Charlotte)
United States
…RV's, and machinery supporting construction, utilities, and infrastructure. With operations across the U.S. and globally, we are committed to safety, innovation, and quality while building…
Added 5 mins ago
Senior Staff Device Characterization Engineer
Renesas Electronics
Chandler, AZ
Join our Technology Development (TD) team as a Senior Engineer and contribute to cutting-edge projects in power device development and semiconductor device characterization.
Added 5 mins ago
Senior Staff Device Characterization Engineer
Renesas Electronics
Plano, TX
Join our Technology Development (TD) team as a Senior Engineer and contribute to cutting-edge projects in power device development and semiconductor device characterization.
Added 5 mins ago
Senior Staff Device Characterization Engineer
Renesas Electronics
Morrisville, NC
Join our Technology Development (TD) team as a Senior Engineer and contribute to cutting-edge projects in power device development and semiconductor device characterization.
Added 5 mins ago
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Founding Backend Software Engineer
True Talent Solutions Partners
San Francisco, CA
- $225,000 to $275,000 USD / year
Join an early-stage AI video team as a founding backend engineer. You will lead backend architecture and development for systems that support generative video products and agentic workflows.
Added 6 mins ago
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Network Engineer
KaylaTek
Washington, DC
- $121,000 to $123,000 USD / year
The Senior Network Engineer performs critical tier-tier engineering, administration, and security hardening of enterprise-level network infrastructures. Ensures high availability, rapid…
Added 6 mins ago
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Cloud Operations Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Cloud Operations Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 6 mins ago
BV
Observability Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Observability Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 6 mins ago
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Customer Success Engineer
Momentic
San Francisco, CA
- $185,000 to $225,000 USD / year
We’re hiring a Customer Success Engineer to own strategic relationships, customer success, and renewal readiness for our enterprise and selected medium-touch customers. We’re looking for…
Added 7 mins ago
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Senior Core Infrastructure Engineer
Oracle
Santa Clara, CA · Seattle, WA · Austin, TX · Nashville, TN
- $79,200 to $209,500 USD / year
As a Senior Software Development Engineer in the Oracle Cloud Infrastructure (OCI) Security Platform division, you will help build and operate OCI’s Key Management Service (KMS), a…
Added 7 mins ago
DA
Power Systems Study Engineer III
DLB Associates
Remote, United States
- $104,738 to $130,502.05 USD / year
…mission-critical solutions across hyperscale data centers, advanced infrastructure, and high-performance building systems. With over four decades of expertise, we partner with some of the…
Added 7 mins ago
DA
Electrical Engineer III
DLB Associates
Remote, United States
- $104,738 to $130,502 USD / year
…mission-critical solutions across hyperscale data centers, advanced infrastructure, and high-performance building systems. With over four decades of expertise, we partner with some of the…
Added 7 mins ago
DA
Electrical Engineer II
DLB Associates
Remote, United States
- $83,000 to $104,125 USD / year
…mission-critical solutions across hyperscale data centers, advanced infrastructure, and high-performance building systems. With over four decades of expertise, we partner with some of the…
Added 8 mins ago
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Cybersecurity Architect
FMS USA Fresenius Mgmt Services Inc
Remote, United States
- $137,000 to $229,000 USD / year
…information security architecture and solutions and work with infrastructure teams to ensure…
Added 8 mins ago
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Sr. Principal Integration Engineer - Cloud Solutions
NMC USA National Medical Care Inc
Remote, United States
- $137,000 to $229,000 USD / year
The Principal Azure Cloud Solutions Engineer serves as a senior technical authority responsible for designing, implementing, and improving secure, scalable, and resilient solutions on…
Added 10 mins ago
Senior Data Engineer (Remote Opportunity)
Hyatt
Chicago, IL
Hyatt seeks an experienced Senior Data Engineer who will be an exceptional addition to our growing engineering team. The Senior Data Engineer will work closely with engineering, product…
Added 10 mins ago
Machine Learning Engineering Manager
Employment Application
IL
Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices
Added 10 mins ago
System Engineer
Exegy
St Louis, MO
We are seeking an experienced System Engineer to join our Managed Services Engineering (MSE) team in St. Louis, MO. You will be our lead specialist in Linux systems, bare-metal…
Added 10 mins ago
Staff AI Engineer, Developer Relations Engineering
Crusoe
Sunnyvale, CA · Seattle, WA · New York, NY · San Francisco, CA
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each…

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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