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Added 1 min ago
Senior Full Stack Engineer
Intuitive
Remote, United States
…diagnosis of lung cancer. We are seeking a Senior Software Engineer to build backend services, APIs, and customer-facing web applications that support our robotic fleet and associated…
Added 2 mins ago
Principal Engineer
Wells Fargo Bank, N. A.
CHARLOTTE, NC · IRVING, TX
We are looking for a Principal Engineer who wants to help lead that change.
Added 2 mins ago
Lead Software Engineer - Python
Wells Fargo Bank, N. A.
IRVING, TX · CHARLOTTE, NC
Wells Fargo is seeking a Lead Software Engineer (Python) within the Secured Network Services organization. This role will focus on designing and delivering automation solutions that enable…
Added 3 mins ago
Navigation /IMU Engineer II (On-Site)
RTX
United States
The Advanced Effector Guidance Systems (AEGS) Department develops guidance section electronics architectures for development programs, supports subsystem analyses, integration and test,…
Added 3 mins ago
Senior Navigation/IMU Engineer
RTX
United States
The Advanced Effector Guidance Systems (AEGS) Department develops guidance section electronics architectures for development programs, supports subsystem analyses, integration and test,…
Added 3 mins ago
Principal CCA Design Engineer
RTX
United States
The Airborne Radar Electronics Design (ARED) department is seeking a highly motivated, experienced Principal CCA Design Engineer to work on Radar Control and Radar Processor electronics…
Added 3 mins ago
Principal FPGA Engineer
RTX
United States
In this role as a Principal FPGA Engineer, you will develop FPGA designs for all major vendors and device families including AMD, Altera, and Microchip. Designs commonly support the…
Added 3 mins ago
Software Engineer II
RTX
United States
Experience with Agile lifecycle process including Scrum, Continuous Integration, and Test-Driven Development Methodologies
Added 3 mins ago
VA Tech Student Intern Fellowship
RTX
United States
…Engineers to experience all elements of the communication design process including system-level trades, requirements development, communication system architecture and design, performance…
Added 3 mins ago
Sr Software Engineer
RTX
United States
Experience with Agile lifecycle process including Scrum, Continuous Integration, and Test-Driven Development Methodologies
Added 3 mins ago
Senior DevOps Engineer
Expression
Remote, United States
Expression is seeking an experienced Senior DevOps Engineer to support the National Telecommunications and Information Administration (NTIA) Federal Spectrum Data Systems (FSDS) program…
Added 3 mins ago
DevOps Engineer
Expression
Remote, United States
Expression is seeking a mid-level DevOps Engineer to support the National Telecommunications and Information Administration (NTIA) Federal Spectrum Data Systems (FSDS) program within the…
Added 4 mins ago
Cloud Platform Administrator (Mid-Level, Senior or Lead) **Sign on Bonus Potential**
The Boeing Company
Berkeley, MO · Seattle, WA · Daytona Beach, FL
The Infrastructure team is seeking a skilled platform engineer to help build and operate the cloud platform services that host critical enterprise applications and software toolchains. In…
Added 4 mins ago
Product Review Engineer (Associate or Mid-Level)
Boeing Aerospace Operations
Jacksonville, FL
Provide on-site engineering support at the aircraft maintenance location. This includes, but not limited to the development of technical solutions, development of engineering data, and…
Added 5 mins ago
Software and AI Engineer
CoreWeave
CA / Bellevue, WA · Livingston, NJ · Manhattan, NY · San Francisco, CA · Sunnyvale, CA
As a Software and AI Engineer, IT Systems, you’ll design and build AI agents, copilots, and first-party applications that make CoreWeave’s internal workflows more intelligent, automated,…
Added 6 mins ago
R
Part Time Systems Engineer Co-Op (Remote)
RTX
United States
- Part-time
…supporting RF Hardware Engineering, Systems Engineering, Systems Integration & Test activities across the product development…
Added 6 mins ago
Principal Software Engineer
RTX
United States
Experience with Agile lifecycle process including Scrum, Continuous Integration, and Test-Driven Development Methodologies
Added 6 mins ago
Senior Embedded Software Engineer, Onsite
RTX
United States
Raytheon Space and Air division in El Segundo, CA is seeking a Senior Embedded Software Engineer to be part of product development teams.
Added 6 mins ago
Low Observable Materials Engineer
RTX
United States
You will be responsible for material and process development, characterization and system level integration in support of all Raytheon product lines and new business.
Added 6 mins ago
Senior Principal Software Engineer
RTX
United States
Experience with Agile lifecycle process including Scrum, Continuous Integration, and Test-Driven Development Methodologies
Added 6 mins ago
Principal Antenna and Microwave Engineer
RTX
United States
…businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and…
Added 6 mins ago
Low Observables Materials Engineer
RTX
United States
You will be responsible for material and process development, characterization and system level integration in support of all Raytheon product lines and new business.
Added 6 mins ago
Senior Principal FPGA Engineer
RTX
United States
In this role as a Senior Principal FPGA Engineer, you will lead development of FPGA designs for all major vendors and device families including AMD/Xilinx, Altera, and Microchip. Designs…
Added 6 mins ago
Sr. Principal Low Observable Materials Engineer
RTX
United States
You will be responsible for material and process development, characterization and system level integration in support of all Raytheon product lines and new business.
Added 6 mins ago
Senior Acoustics Signal Processing Engineer
RTX
United States
…businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science 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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