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Added 7 mins ago
AR
Cloud Customer Support Engineer (MD)
ASM Research, An Accenture Federal Services Company
Fort Meade, MD
- $58.17 to $62.5 USD / hour
…on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and…
Added 7 mins ago
Electronics Engineer
Federal Communications Commission
Columbia, MD
Added 7 mins ago
Network and Systems Lab Engineer, Mid
BOOZ, ALLEN & HAMILTON, INC.
Aberdeen Proving Ground, MD
…equipment and sof tware, requires a combination of technical skill and careful planning. That's why we need a network engineer like you who knows how to develop the exact network for the…
Added 14 mins ago
Principal Software Engineer
Pearson
Hoboken, NJ
…engineers leading that work hands-on. You design the target systems and move content and users onto them safely. Full stack here goes beyond front end and back end: the work spans user…
Added 33 mins ago
Systems Engineer
Chenega Corporation
UNAVAILABLE, VA
The Systems Engineer provides on-site, 24/7/365 Tier 1 operations for Google Public Sector’s USG2 sovereign and classified cloud environments, initially supporting Google Distributed Cloud…
Added 33 mins ago
Senior Operations Lead
Chenega Corporation
UNAVAILABLE, VA
…leveraging cutting-edge technology and take your career to the next…
Added 33 mins ago
Senior Operations Lead
Chenega Corporation
UNAVAILABLE, VA
…leveraging cutting-edge technology and take your career to the next…
Added 33 mins ago
Systems Engineer
Chenega Corporation
UNAVAILABLE, VA
The Systems Engineer provides on-site, 24/7/365 Tier 1 operations for Google Public Sector’s USG1 sovereign and classified cloud environments, initially supporting Google Distributed Cloud…
Added 47 mins ago
AF
Senior GenAI Developer
Accenture Flex LLC Company
United States
- $50 to $60 USD / hour
As an AI / ML Engineer, you will be responsible for developing applications and systems that utilize artificial intelligence tools and cloud artificial intelligence services, ensuring…
Added 1 hour ago
CO
Engineer Technician/Senior Engineer Technician
City of De Pere
De Pere, WI
- $32.86 to $46.94 USD / hour
…Our employees are offered the opportunity to enhance their skill set by attending training courses, working on special projects, and becoming a member of one of our many City…
Added 1 hour ago
A
Installation Technician II
AVI-SPL
Cleveland, OH
- $23.07 to $29.81 USD / hour
Demonstrate job site leadership and oversee Level 1 Technicians quality of work
Added 1 hour ago
A
Installation Technician II
AVI-SPL
Cleveland, OH
- $23.07 to $29.81 USD / hour
Demonstrate job site leadership and oversee Level 1 Technicians quality of work
Added 1 hour ago
A
Installation Technician II
AVI-SPL
Chelmsford, MA
- $27.89 to $36.06 USD / hour
Demonstrate job site leadership and oversee Level 1 Technicians quality of work
Added 1 hour ago
Installation Technician III
AVI-SPL
Wixom, MI
Demonstrate job site leadership, mentor Level 1 and Level 2 Technicians on site and verify all quality of work
Added 1 hour ago
Thermal Analysis Engineer III
Axiom Space
United States
…team is seeking a bold and dynamic Senior Thermal Analysis Engineer (Level III) who is fueled by high accountability, execution horsepower, and driven to understand our world,…
Added 2 hours ago
Senior Associate, Electrical Engineer
L3Harris Technologies
Yorba Linda, CA
L3Harris is seeking a Senior Associate Electrical Engineer with knowledge of job area in Analog, Digital, or RF engineering. Participate in complex projects or processes with general…
Added 2 hours ago
Senior Engineer
Mission Support & Test Services, LLC (MSTS)
North Las Vegas, NV · Mercury, NV
This position will report to the Data and Diagnostics (D&D) Manager. The Senior Engineer serves as the Subject Matter Expert (SME) within the D&D group, providing technical leadership…
Added 2 hours ago
Electrical Engineer, Specialist
L3Harris Technologies
Yorba Linda, CA
L3Harris is seeking a Electrical Engineer with knowledge of job area in Analog, Digital, or RF engineering. Participate in complex projects or processes with general oversight. Communicates…
Added 3 hours ago
Senior Engineer - Nuclear Deterministic Safety Analysis (LOCA & Containment)
GE Vernova Hitachi Nuclear Energy Americas LLC
United States
The Senior Deterministic Safety Analysis (DSA) Engineer position will make immediate contributions to the team responsible for BWRX 300 deterministic safety analyses with primary focus on…
Added 3 hours ago
OSP Engineer
Pearce Services
United States
As an OSP Engineer III supporting the Frontier program at Pearce, you will lead complex outside plant (OSP) engineering projects supporting Frontier's fiber and copper telecommunications…
Added 3 hours ago
Sr. Principal Mechanical Drafting Design Engineer
CORP-Corporate Office
United States
…Sr. Principal Mechanical Drafting Designer within the Mission Systems Sector located at the Rolling Meadows - Illinois facility. This position will support the design and documentation of…
Added 3 hours ago
Sr Manager – Structural Engineering
Blue Origin Personnel, LLC
Space Coast, FL
…to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the…
Added 4 hours ago
Account Manager II
SiliconExpert Technologies, Inc.
Remote, United States
…upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at…
Added 4 hours ago
Staff Machine Learning Engineer_Voice AI
ServiceNow
San Diego, CA
…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…
Added 4 hours ago
Senior Staff Machine Learning Engineer_Voice AI
ServiceNow
Santa Clara, CA
…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…

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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