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Added 1 min ago
Lead DevOps Engineer St. Louis, USA
London Stock Exchange Group Holdings Inc
St. Loui, MO
This Lead DevOps Engineer position is a key role within the SRC Team which sits within the Application Services Division, with responsibilities to facilitate adoption of standard DevOps…
Added 4 mins ago
Software Engineering Manager II, Site Reliability Engineering, Infra Bigtable SRE
Google
New York, NY
…systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google,…
Added 4 mins ago
BC
Senior AI Engineer - Finance
Bechtel Corporation
Washington, DC
- $140,800 to $203,700 USD / year
Bechtel is seeking a Senior AI Engineer – Finance to serve as a hands-on technical leader within the Finance Transformation and AI team, responsible for architecting, building, and scaling…
Added 4 mins ago
BC
AI Engineer - Finance
Bechtel Corporation
Washington, DC
- $106,900 to $178,500 USD / year
We are seeking an AI Engineer – Finance to join the Finance Transformation and AI team, focused on designing, building, and deploying production-grade AI and automation solutions that…
Added 4 mins ago
AI Engineer - Finance
Bechtel Corporation
Glendale, AZ
We are seeking an AI Engineer – Finance to join the Finance Transformation and AI team, focused on designing, building, and deploying production-grade AI and automation solutions that…
Added 4 mins ago
Principal AI Ops Engineer
Crux AI
Palo Alto, CA
…turn every runbook into code and every repeat incident into automation. This is a hands-on engineering seat: you write and ship the software, then operate it in…
Added 5 mins ago
Senior CI/CD & Infrastructure Automation Engineer
Hitachi Global
San Jose, CA
Develop and maintain automation scripts and tools primarily in Python to streamline infrastructure provisioning and management.
Added 5 mins ago
ERP Business Systems Engineer (Infor SyteLine)
Stored Energy Systems
Longmont, CO
The ERP Business Systems Engineer will serve as a hands-on technical and functional leader for SENS’s Infor SyteLine environment. This role will work alongside the existing ERP team members…
Added 6 mins ago
Fullstack Software Engineer II, Rebates
Conga
Houston, TX
Job Title: Full Stack Software Engineer II, Rebates
Added 7 mins ago
Senior Software Engineer - Operational Improvement
Western Governors University
Salt Lake City, UT
As a Senior Software Engineer, you’ll take ownership of complex technical problems and help shape the systems and engineering practices that support our university and its students. You’ll…
Added 7 mins ago
Electrical Design & Verification Engineer (DVE), Leo Optical ISL Development
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
The Design Verification Engineer will be a member of the Avionics team, focusing on the design verification of the various electrical functions of high-performance communication systems.
Added 9 mins ago
Critical Facility Engineer - South Jordan, UT
Military Spouse Jobs & VetJobs
United States
BGIS is currently seeking a Critical Facility Engineer (Data Center) to join the team in Harwood, ND.
Added 13 mins ago
K
Senior Backend Software Engineer
Kforce
Brooklyn, NY
- $49 to $59 USD / hour
We're looking for an experienced Senior Backend Software Engineer to help build and improve a high-scale platform supporting machine learning applications in production. This is a hands-on…
Added 14 mins ago
Sr. Data Center Operations (DCO) Engineer-Federal
Zscaler
Remote, United States
We are looking for a Sr. Data Center Operations (DCO) Engineer to join our Cloud Operations team. This is a remote role in Houston, TX, reporting to the Director of Network Infrastructure…
Added 15 mins ago
RH
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 16 mins ago
Software Engineer Internship – AI Platform Team
Wellmark, Inc.
Des Moines, IA
Added 16 mins ago
Senior Electrical Engineer- Building Systems
WSP
Greenville, SC
5 to 7 years of relevant post education experience as an electrical engineer providing design deliverables for large capital projects.
Added 17 mins ago
Senior Electrical Engineer (Power & Mixed-Signal)
Anduril Industries
Costa Mesa, CA
Anduril is seeking an experienced Electrical Engineer based in Costa Mesa, CA to develop and test cutting edge electronics for avionics propulsion systems. We are looking for a self-starter…
Added 21 mins ago
DevSecOp Engineer
MANTECH
Patrick AFB, FL
ManTech seeks a motivated, customer-oriented DevSecOp Engineer to join our team at Cape Canaveral, Florida.
Added 22 mins ago
Quality Engineer
Conti Electric Inc
Sterling Heights, MI
reputation for quality, we are seeking a dedicated Quality Engineer to join our team.
Added 24 mins ago
*Engineering Lead Analyst - CONVERSION*
Citibank, N.A.
United States
As a Cloud Security Controls Engineer at Citi, you will operate at the intersection of security architecture, software engineering, and cyber defense to safeguard our global multi-cloud…
Added 24 mins ago
Deployment Engineer
GadellNet
St. Louis, MO
The core responsibilities of a Deployment Engineer are to ensure that our partners' new devices are provided with the configuration, software, access, licenses, data, and similar resources…
Added 24 mins ago
Senior Software Engineer (Runtimes)
HeroDevs, Inc.
Remote, United States
We are seeking a Senior Software Engineer to join our Never-Ending Support (NES) team. This role is specifically focused on developing and proving out new product lines in our runtimes. You…
Added 24 mins ago
Site Reliability Engineer III
LexisNexis Risk Solutions Inc. Company
Alpharetta, GA · Boca Raton, FL
The Site Reliability Engineer III is responsible for improving the reliability, scalability, security and operational maturity of cloud-hosted platforms and services. The role combines…
Added 27 mins ago
Sr. Systems Engineer
American Heart Association
Dallas, TX
The ideal candidate is a detail-oriented engineer who enjoys working with automation tools, particularly Terraform, and has a solid understanding of cloud services and architectural…

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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