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Added 1 min ago
Senior Enterprise Engineer - Salesforce Platform (EAA - STP)
Coinbase
Juneau, AK
…account management, and billing workflows. As a Senior Enterprise Engineer on this team, you'll design and deliver scalable, secure CRM and billing solutions while integrating Salesforce…
Added 1 min ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Juneau, AK
- $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 min ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Juneau, AK
We are seeking a highly skilled and experienced Senior Azure Engineer to join our cloud engineering team. This role is for a hands-on technical contributor who will design, implement,…
Added 1 min ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Juneau, AK
- $146,400 to $263,600 USD / year
As a Senior II Site Reliability Engineer, you will be responsible for:
Added 1 min ago
AT
Site Reliability Engineer II
Akamai Technologies, Inc.
Juneau, AK
- $95,000 to $171,000 USD / year
As a Site Reliability Engineer II, you will be responsible for:
Added 1 min ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Juneau, AK
- $146,400 to $263,600 USD / year
As a Senior Site Reliability Engineer, you will be responsible for:
Added 1 min ago
Solutions Architect - Nutanix Database Service
Nutanix
Juneau, AK
Are you an experienced, entrepreneurial Solutions Architect with deep expertise in database automation, DBaaS, and hybrid multi-cloud infrastructure? Do you excel at simplifying,…
Added 1 min ago
Cybersecurity Engineer (Cloud)
Amentum
Juneau, AK
Configure and test security policies, infrastructure-as-code controls, deployment automation, and supporting integrations in coordination with cloud platform and application owners.
Added 1 min ago
Senior Cybersecurity Architect (Cloud)
Amentum
Juneau, AK
Build and maintain reusable infrastructure-as-code components and deployment automation for security policies, controls, and platform onboarding.
Added 4 mins ago
J
Associate Machine Learning Engineer
Jobgether
Remote, United States
- $106,900 to $152,700 USD / year
…steps. Our partner is looking for an Associate Machine Learning Engineer based in the United…
Added 14 mins ago
Senior Software Development Engineer in Test, ML
PlayStation Global
Madison, WI
PlayStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner…
Added 22 mins ago
Software Engineer TS/SCI CI Poly Required (Java/J2EE)
MaxIT Consulting - Max Corporate Group
Annapolis Junction · Annapolis Junction, MD
…team practices DevOps, Behavior-Driven Development and test automation, and every engineer contributes from requirements to…
Added 22 mins ago
Cleared Java Developer / Software Engineer
MaxIT Consulting - Max Corporate Group
Annapolis Junction · Annapolis Junction, MD
…team practices DevOps, Behavior-Driven Development and test automation, and every engineer contributes from requirements to…
Added 30 mins ago
RO
Data & Analytics Engineer
Revelyst Operations LLC
Irvine, CA
- $100,000 to $120,000 USD / year
Identify opportunities to simplify and automate the data environment while helping build a foundation that supports future analytics, AI, and automation capabilities.
Added 38 mins ago
Data & Intergrations Engineer
Jobgether
Remote, United States
We are looking for a skilled Data & Integrations Engineer to strengthen enterprise data infrastructure and streamline connections across business systems. In this role, you will take…
Added 38 mins ago
J
CRM Lead Engineer
Jobgether
Remote, United States
- $80,000 to $131,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a CRM Lead Engineer based in the United States.
Added 39 mins ago
Lead DevOps Engineer
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 having responsibilities to facilitate adoption of standard DevOps…
Added 51 mins ago
AI Engineer
Terranova
Berkeley, CA
…physical world. We combine mechanical engineering, robotics, automation, and real-world field operations to tackle complex engineering…
Added 51 mins ago
Full Stack Web Developer
Terranova
Berkeley, CA
Added 57 mins ago
Forward Deploy Engineer Guatemala
Breakmark
NY
Whether you’re already working with agentic AI or are an experienced software engineer ready to focus on it, this role offers the opportunity to take systems from initial discovery through…
Added 58 mins ago
Principal Architect
Lumen
Dover, DE
FinOps Certified Practitioner (FOCP) / FinOps Certified Engineer (FCE) / FinOps Certified Professional (FCP) / FinOps Certified Cloud Practitioner/ FinOps for Containers (FFC)
Added 58 mins ago
Lead Information Security Engineer - Red Team
Lumen
Dover, DE
Red Team - Lead Information Security Engineer
Added 1 hour ago
Lead Test Engineer
CGI
Fairfax, VA
…supporting mission critical client operations. As the Lead Test Engineer, you'll establish and drive a comprehensive testing approach across teams, emphasizing automation, end to end test…
Added 1 hour ago
Founding Forward Deployed Engineer (USA)
Pear VC
Palo Alto, CA
You are a software engineer who works directly with our customers. You will be deployed inside practices, clinics and hospitals in New York, understand how doctors and staff actually work,…
Added 1 hour ago
Quality Engineer II
Honeywell Technologies
Acton, MA
As a Quality Engineer II here at Honeywell, you will play a crucial role in ensuring the quality and reliability of our products through rigorous testing, analysis, and process…

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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