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Sr. DevOps Engineer - GCP
Insight Global
Remote, United States
- From $68 USD / hour
We are seeking a Senior DevOps Engineer with strong Google Cloud Platform (GCP) experience to design, implement, automate, and support scalable cloud infrastructure. This role will work…
Added 3 mins ago
VP, Senior AI Security Engineer
MUFG Bank, Ltd.
Jersey City, NJ · Tampa, FL
MUFG is seeking an experienced AI Security engineer to establish and scale the Enterprise AI Security and Agentic AI Program. This role will lead the development of secure, governed, and…
Added 3 mins ago
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Senior Information Security Engineer
UnitedHealth Group
Plymouth, MN
- $91,700 to $163,700 USD / year
As a Senior Information Security Engineer on our Security Operations Engineering team, you will play a critical role in designing, deploying, and maintaining enterprise web application…
Added 11 mins ago
Senior Software Development Engineer
CVS Health
Work at Home, MD · Work At Home, AR · Work At Home, AZ · Work At Home, CO · Work At Home, CT · Work At Home, FL · Work At Home, GA · Work At Home, IL · Work At Home, MA · Work At Home, NC · Work At Home, NJ · Work At Home, PA · Work At Home, TX
CVS Health is looking for hands-on, passionate, driven Sr Software Development Engineer to join a high energy and growing team to make a difference in customers' lives and who wants to be…
Added 15 mins ago
Senior Controls Engineer
Parallel Systems
Los Angeles, CA
Parallel is seeking a Senior Controls Engineer with deep expertise in control systems development to join our engineering team. This role focuses on modeling, simulating, and designing the…
Added 16 mins ago
Senior Software Tool Developer
Leidos
Fort Meade, MD
Leidos has a new and exciting opportunity for a Senior Tool Developer in our Intel Sector. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO),…
Added 16 mins ago
Senior Software Systems Engineer
SAIC
Silver Spring, MD
SAIC has an immediate need for a Senior Software Systems Engineer.
Added 16 mins ago
Senior Lead Software Engineer - Network Infrastructure and Automation
Nightwing
Annapolis Junction, MD
SENIOR LEAD SOFTWARE ENGINEER - NETWORK INFRASTRUCTURE & AUTOMATION
Added 16 mins ago
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Senior Databricks Engineer
Pacific Northwest National Laboratory
Annapolis, MD
- $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 16 mins ago
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Principal AI Agent / Software Engineer- Nashville
Oracle
Annapolis, MD
- $114,600 to $234,600 USD / year
The Principal AI Agent / Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle…
Added 16 mins ago
Senior Site Reliability Engineer
Proofpoint
Baltimore, MD
As a Senior Site Reliability Engineer at Proofpoint you will develop a deep understanding of the various services
Added 16 mins ago
Sr Software Engineer
Cengage Group
Baltimore, MD
Following the Product Operating Model (POM), you will collaborate with product and design teams in your role as senior software engineer. Together you will focus on improving customer…
Added 22 mins ago
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Sr. Principal Integration Engineer - Cloud Solutions
Fresenius Medical Care
Remote, United States
- $137,000 to $229,000 USD / year
The Principal Azure Cloud Solutions Engineer serves as a senior technical authority responsible for designing, implementing, and improving secure, scalable, and resilient solutions on…
Added 23 mins ago
Principal Software Engineer
Pearson
Hoboken, NJ
…engineers, and improve engineering practices. Success includes the senior engineers around you becoming owners of these systems…
Added 23 mins ago
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Senior Software Engineer - AI Oversight
OpenMined
Remote, United States
- $125,000 to $220,000 USD / year
As a Senior Software Engineer, reporting to the Technical Lead Manager, AI Oversight, you'll build core parts of this system and the products on top of it. You'll also work directly with…
Added 24 mins ago
Senior Digital Design Engineer | HSC
Texas Instruments
Fort Collins, CO
Strong programming skills (Perl, Python, TCL, C, etc.)
Added 25 mins ago
Senior Software Engineer, Release
Anduril Industries
Seattle, WA · Costa Mesa, CA
…development lifecycle and production pipelines. As a Software Engineer on this team, you will be instrumental in ensuring the quality, traceability, and rapid deployment of our software…
Added 25 mins ago
Senior Software Engineer, Release
Anduril Industries
Costa Mesa, CA
…development lifecycle and production pipelines. As a Software Engineer on this team, you will be instrumental in ensuring the quality, traceability, and rapid deployment of our software…
Added 25 mins ago
Senior Data Engineer - Finance
Circle Internet Management Services LLC
Remote, United States
As a Senior Data Engineer at Circle, you'll own the pipelines and data models that our product, treasury, finance, accounting and compliance teams depend on to meet their reporting and…
Added 28 mins ago
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Senior Quality Engineer
Insight Global
Cincinnati, OH
- From $67 USD / hour
-Strong Python development/scripting experience
Added 29 mins ago
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Data Scientist - MeshMesh
Salesforce, Inc.
CA · WA
- $148,500 to $246,000 USD / year
Partner with senior leadership (VP+) to advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies.
Added 42 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 42 mins ago
Senior Operations Lead
Chenega Corporation
UNAVAILABLE, VA
The Senior Operations Lead provides on-site technical floor leadership for Google Public Sector’s USG2 Intelligence Community sovereign and classified cloud operations, initially supporting…
Added 42 mins ago
Senior Operations Lead
Chenega Corporation
UNAVAILABLE, VA
The Senior Operations Lead provides on-site technical floor leadership for Google Public Sector’s USG1 Intelligence Community sovereign and classified cloud operations, initially supporting…
Added 42 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…

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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