Jobs in the United States

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Added 2 mins ago
Principal BMS & PMS Controls Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal BMS & PMS Controls Engineer based in United…
Added 3 mins ago
Equipment Engineer 2
Kasai North America, Inc
Manchester, TN
Develop and test models of alternate designs and processing methods to assess feasibility, operating condition effects, possible new applications and necessity of modification
Added 5 mins ago
GH
Senior Software Engineer
GE Healthcare IITS USA Corp.
Remote, United States
- $109,600 to $164,400 USD / year
As a Senior Software Engineer in GE HealthCare's Science & Technology organization, you will develop scalable, cloud-based software solutions that support healthcare innovation and digital…
Added 6 mins ago
Director, ITP AI Forward Deployed Engineering (FDE)
Micron Technology
Richardson
…telemetry, and observability across the ITP AI stack, covering applications, agents, models, data, and…
Added 6 mins ago
DRAM Architect – Staff Engineer - Solution
Micron Technology
Boise
JR117284 DRAM Architect – Staff Engineer - Solution
Added 6 mins ago
Software Engineering Intern (Summer 2027)
RTX
United States
Qualifications You Must Have
Added 6 mins ago
Software Engineer I (Onsite)
RTX
United States
Qualifications You Must Have
Added 6 mins ago
Principal Systems Engineer (ONSITE)
RTX
United States
Qualifications You Must Have
Added 11 mins ago
Design Engineering Manager
The businesses of Merck KGaA, Darmstadt, Germany
Austin, TX
Based in Austin, TX, the manager partners with Product Engineering, Manufacturing Engineering, Applications, Project Management, Supply Chain, Quality, and Operations across global sites.…
Added 11 mins ago
Design Engineering Manager
The businesses of Merck KGaA, Darmstadt, Germany
Chandler, AZ
Based in Chandler, AZ the manager partners with Product Engineering, Manufacturing Engineering, Applications, Project Management, Supply Chain, Quality, and Operations across global sites.…
Added 13 mins ago
Software Engineer I, Commerce
Twitch Interactive, Inc.
Seattle, WA · San Francisco, CA
Architect and build robust, scalable applications that can handle millions of concurrent users
Added 14 mins ago
HF
Senior IT Systems & Support Engineer
Halcyon Financial Technology
San Francisco, CA
- $100,000 to $130,000 USD / year
We are hiring a full-time Senior IT Systems & Support Engineer in the Bay Area with an focus on San Francisco. This hybrid role plays a critical part in supporting multiple clients both…
Added 15 mins ago
AI Engineer – Generative AI & Agentic AI
KData Inc.
United States
integrates, tests, and operates production-ready AI applications, with a focus
Added 16 mins ago
Senior Engineer - PLC/Ignition
E Tech Group
South San Francisco, CA · Vacaville, CA
We are seeking an Senior Automation Engineer to contribute to detailed hardware and software design of process automation control systems projects. This includes a combination of…
Added 18 mins ago
O
Principal Software Engineer, Core Infrastructure
Oracle
Seattle, WA · Santa Clara, CA
- $114,600 to $234,600 USD / year
–Implement robust security measures to protect data and applications in multi-tenant environments, including encryption techniques and access controls.
Added 20 mins ago
VE
Project Engineer, Mechanical
Veolia Environnement SA
Sterling, VA
- $104,000 to $119,000 USD / year
Must have understanding of building mechanical systems design, construction & operation · Must have experience with commissioning process of mechanical systems ranging in size, rating and complexity
Added 21 mins ago
Product Engineer, Agents & Harnesses
Engram Lab
San Francisco, CA
We're looking for a Product Engineer - Agents & Harnesses to work closely with our researchers and customers to build, evaluate, and deploy agents that use Engram. You’ll explore how our…
Added 22 mins ago
Software Engineer – Digital Asset Management, Retail & Marcom Engineering
Apple
Austin, TX
Our team is looking for a passionate, technically skilled software engineer who thrives in designing scalable distributed backend systems and integrating cutting-edge machine learning and…
Added 22 mins ago
Senior Full Stack Web Engineer, Retail & Marcom Engineering
Apple
Austin, TX
We are seeking a full stack engineer with a passion for crafting visually stunning web applications that embody the Apple standard for design and usability, and for building the reliable…
Added 22 mins ago
Software Quality Engineer, Retail & Marcom Engineering
Apple
Sunnyvale, CA
Apple’s IS&T team is looking for a Software Quality Engineer to contribute to design, analysis and certification of our applications. We are looking for someone who is equally passionate…
Added 22 mins ago
Manufacturing Design Engineer (MDE) - Watch
Apple
Cupertino, CA
The Apple Manufacturing Design Engineer (MDE) is accountable for driving the development of key mechanical manufacturing processes across Apple’s worldwide supply base. In this highly…
Added 23 mins ago
Test Engineer 3
Flextronics America, LLC
TX
To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Test Engineer located in Austin, TX.
Added 25 mins ago
Machine Learning Ops, AI Engineer
Mission Underwriting Services
Remote, United States
Mission is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure across our agentic AI platforms. This hands-on role sits at the intersection…
Added 28 mins ago
Principal II AI Platform Engineer, GenAI
Teladoc Health, Inc.
Remote, United States
We are seeking a Principal II Data & AI Platform Engineer to serve as one of the most senior hands-on technical leaders on our Data & AI Platform team. This role will architect, build, and…
Added 30 mins ago
FA
AI & Integration Engineer
FSAP and PETA
Remote, United States
- $85,000 to $110,000 USD / year
Applications for this position will be accepted until December 10, 2026.

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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Jobs in the United States