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Added 1 min ago
Sr Software Engineer
Cengage Group
New Orleans, LA
…with product and design teams in your role as senior software engineer. Together you will focus on improving customer outcomes through frequent stakeholder engagements and data-driven…
Added 1 min ago
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Sr Software Engineer - Cloud Automation & AI Systems
Oracle
Baton Rouge, LA
- $89,200 to $209,500 USD / year
Software Engineer 3 – Cloud Automation & AI Systems
Added 1 min ago
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Senior Core Infrastructure Engineer- Nashville,TN
Oracle
Baton Rouge, LA
- $79,200 to $209,500 USD / year
You will partner with networking, control-plane, infrastructure, security, and operations teams to build fault-tolerant distributed systems with strong tenant isolation and safe deployment…
Added 1 min ago
O
Principal AI Agent / Software Engineer- Nashville
Oracle
Baton Rouge, LA
- $114,600 to $234,600 USD / year
This role requires a proven engineer who can translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain…
Added 1 min ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Baton Rouge, LA
- $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.
Baton Rouge, LA
- $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.
Baton Rouge, LA
- $146,400 to $263,600 USD / year
As a Senior Site Reliability Engineer, you will be responsible for:
Added 15 mins ago
Associate Director, Power Systems Engineering
Scout Clean Energy
Boulder, CO
o Power Systems Engineer (BESS & Power Conversion Systems)
Added 16 mins ago
T
AI Staff Engineer (Addison, TX)
TEKsystems
Addison, TX
- $175,000 to $200,000 USD / year
Ensure data integrity, consistency, and availability across distributed systems
Added 17 mins ago
Senior Cloud Engineer
Company 1 - The Manufacturers Life Insurance Company
MA
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 20 mins ago
Sr Software Engineer
Cengage Group
Manchester, NH
…with product and design teams in your role as senior software engineer. Together you will focus on improving customer outcomes through frequent stakeholder engagements and data-driven…
Added 20 mins ago
O
Sr Software Engineer - Cloud Automation & AI Systems
Oracle
Concord, NH
- $89,200 to $209,500 USD / year
Software Engineer 3 – Cloud Automation & AI Systems
Added 20 mins ago
O
Senior Core Infrastructure Engineer- Nashville,TN
Oracle
Concord, NH
- $79,200 to $209,500 USD / year
You will partner with networking, control-plane, infrastructure, security, and operations teams to build fault-tolerant distributed systems with strong tenant isolation and safe deployment…
Added 20 mins ago
O
Principal AI Agent / Software Engineer- Nashville
Oracle
Concord, NH
- $114,600 to $234,600 USD / year
This role requires a proven engineer who can translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain…
Added 20 mins ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Concord, NH
- $146,400 to $263,600 USD / year
As a Senior Site Reliability Engineer, you will be responsible for:
Added 20 mins ago
AT
Site Reliability Engineer II
Akamai Technologies, Inc.
Concord, NH
- $95,000 to $171,000 USD / year
As a Site Reliability Engineer II, you will be responsible for:
Added 20 mins ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Concord, NH
- $146,400 to $263,600 USD / year
As a Senior II Site Reliability Engineer, you will be responsible for:
Added 29 mins ago
Software Engineer (Back-end)
Cisco Systems, Inc.
Seattle, WA
…are the norms. Joining us is an opportunity to solve complex distributed systems challenges at a scale few other organizations can…
Added 30 mins ago
Senior Test Infrastructure Engineer
NVIDIA USA
CA
…Center products. We are looking to hire a Test Infrastructure Engineer to join NVIDIA’s Test Solutions Group and build the infrastructure foundation for manufacturing system of board and…
Added 30 mins ago
Senior Software Engineer, Distributed Systems - NIM Factory
NVIDIA USA
Remote, United States
NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior engineer to design and build factory infrastructure and automation for NVIDIA Inference…
Added 32 mins ago
Senior IT Systems Engineer
ExtraHop
Remote, United States
We are seeking a Sr. IT Systems Engineer to ensure the 24x7 availability and performance of our infrastructure through secure, scalable cloud solutions and automation. This is a hybrid…
Added 46 mins ago
O
Senior Core Infrastructure Engineer
Oracle
Nashville, TN
- $79,200 to $209,500 USD / year
Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages…
Added 49 mins ago
AI
Senior Software Engineer – Developer Studio
Applied Intuition
Sunnyvale, CA
- $255,653 to $265,000 USD / year
- Own and maintain backend systems for the Workbench platform, including core services responsible for reliability, uptime, and system stability in a distributed cloud environment.
Added 51 mins ago
Staff Site Reliability Engineer
Veeam Software
Remote, United States
…product delivery safe and fast. As a Staff Site Reliability Engineer, you’ll lead by building reliable-by-default platforms, tooling, and patterns that product teams adopt at scale. You…
Added 1 hour ago
Software Engineering Manager II, Site Reliability Engineering, Infra Bigtable SRE
Google
New York, NY
3 years of experience designing, analyzing, and troubleshooting distributed systems.

ServiceNow

Senior 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 lead 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

12+ 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 $181,200 - $317,100 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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