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Added 22 hours ago
BV
Lead Data Engineer
Bright Vision Technologies
Edison / Middlesex County, NJ, NJ
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Lead Data Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations,…
Added 22 hours ago
ZT
Embedded Software Engineer, Automated Quality & Test
Zaden Technologies, Inc.
Huntsville, AL
- $130,000 to $165,000 USD / year
Zaden Technologies is seeking an Embedded Software Engineer specializing in Automated Quality & Test to join our team doing IVNV (independent validation and verification) and software…
Added 22 hours ago
Mobile App Release Engineer II
USA-Medtronic MiniMed, Inc 1017
Northridge, CA
We are seeking a highly skilled Mobile App Release Engineer II to own and continuously improve the release lifecycle for our iOS and Android applications. This role is responsible for…
Added 22 hours ago
PD
Senior DevSecOps Engineer
Pantheon Data
Reston, VA
- $145,000 to $200,000 USD / year
Pantheon Data is seeking a Senior DevSecOps Engineer to design, build, and operate the secure software delivery platform for ML-enabled workloads and applications in AWS GovCloud that…
Added 22 hours ago
PD
Senior AI Engineer (Agentic Systems)
Pantheon Data
Reston, VA
- $120,000 to $220,000 USD / year
Pantheon Data is seeking a Senior AI Engineer (Agentic Systems) to design, build, and operate the agentic framework at the core of our AI platform in AWS GovCloud, serving workloads that…
Added 22 hours ago
PD
Data Engineer (AI-ML Data Systems)
Pantheon Data
Reston, VA
- $110,000 to $190,000 USD / year
We are seeking a hands-on Data Engineer to help design, build, and operate the data foundations that support advanced analytics, AI/ML, and intelligent document processing solutions. The…
Added 22 hours ago
J
Bilingual Senior Data Engineer
Jobot
Montebello, CA
- $65,000 to $90,000 USD / year
If you are a Bilingual (English/Mandarin) Senior Data Engineer and want to join a growing, tech-savvy E-Commerce company with a dynamic team then apply now!
Added 22 hours ago
Forward Deployed Senior AI Engineer
SAP
New York, NY
Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment.
Added 22 hours ago
Grafana Data Engineer Senior
GD Information Technology, Inc.
United States
The Data Engineer Senior will be responsible for delivering data engineering, data platform, reporting, and analytics capabilities that support operational decision-making and fulfill our…
Added 22 hours ago
M
Google Cloud Engineer
Markon
Herndon, VA
- $170,000 to $200,000 USD / year
Markon is seeking an experienced Google Cloud Engineer (Mid–Senior) to support an Intelligence Community client in Chantilly, Virginia. This position will design, deploy, secure, and…
Added 22 hours ago
SI
Lead Full Stack Security (Systems & Software) Engineering (GRC)
Salesforce, Inc.
WA
- $172,500 to $260,100 USD / year
…Compliance (GRC) platform at Salesforce. As a lead full stack engineer, you own the architecture, technical roadmap, and delivery of the platform's core engines, including policy as code,…
Added 22 hours ago
Senior DevOps Engineer
Exegy
St Louis, MO
We are looking for an experienced, forward-thinking Senior DevOps Engineer to join our newly formed DevOps team within our Market Data Engineering organization. In this role, you will be a…
Added 22 hours ago
A
Associate Device Software Engineer
AbbVie
Irvine, CA
- $58,656 to $103,500 USD / year
The Associate Device Software Engineer contributes to the development and lifecycle support of software for hardware-integrated, regulated medical devices and associated engineering tools.…
Added 22 hours ago
System Test Engineer - Advanced Machine Technology
RFA Engineering
Dubuque, IA
This role supports the testing and validation of advanced technologies used on off-highway equipment. The engineer will develop and execute test plans, operate and evaluate machine systems,…
Added 22 hours ago
Staff Machine Learning Engineer_Voice AI
ServiceNow
San Diego, CA
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…
Added 22 hours ago
Senior Staff Machine Learning Engineer_Voice AI
ServiceNow
Santa Clara, CA
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…
Added 22 hours ago
Senior Staff AI-Native DevOps Engineer
ServiceNow
San Diego, CA
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…
Added 22 hours ago
Staff AI-Native DevOps Engineer
ServiceNow
San Diego, CA
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…
Added 22 hours ago
Senior Staff Machine Learning Engineer_Voice AI
ServiceNow
San Diego, CA
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…
Added 22 hours ago
Test Engineer
Set of X
Annapolis Junction, MD
5+ years of experience with being a test engineer developing or executing test scripts and analyzing results in while performing system testing of complex systems
Added 22 hours ago
Systems Engineer
Set of X
Annapolis Junction, MD
The System Engineer shall be responsible for creating, sustaining, and troubleshooting complex operational data flows including data storage, data transport, data management, data security,…
Added 22 hours ago
Software Integration Engineer
Set of X
Annapolis Junction, MD
Object Oriented Programming Language (C, C++, Java) o Python Programming o GCC compiler o Multi-threaded software o Parallel processing
Added 22 hours ago
Software Engineer (DevOps Focused)
Set of X
Ft Meade; Hanover, MD
Develop python applications to perform user and data management.
Added 22 hours ago
Software Engineer
Set of X
Annapolis Junction, MD
The Software Engineer develops, maintains, and enhances complex software systems, including analytics, large-scale data processing, real-time systems, and business applications. Working…
Added 22 hours ago
Reverse Engineer/Malware Analyst
Set of X
Annapolis Juntion, MD
In this role, you will analyze, dissect, and reverse-engineer malware and advanced persistent threats (APTs) to uncover their functionality and impact. You will identify vulnerabilities and…

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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