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Added 10 mins ago
Senior Software Engineer, Forecasting & Real-Time Optimization
Lyft
San Francisco, CA · Seattle, WA
As a Senior Software Engineer on FORTOP’s forecasting team, you’ll lead the design and operation of the production systems that turn streaming marketplace data into accurate, reliable…
Added 15 mins ago
Midwest Surface Water Practice Lead
WSP
Springfield, IL · Chicago, IL · Cincinnati, OH · Cleveland, IL · Kansas City, MO · Kansas City, KS · Saint Louis, MO · Columbus, OH · Lincoln, NE
Serve as a senior technical leader, project manager, program manager, or strategic advisor on select projects involving flood risk management, stormwater and drainage, hydrologic and…
Added 29 mins ago
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Senior Software Engineer, Partner Integrations
Horizon3
Remote, United States
- $199,000 to $235,000 USD / year
The Senior Software Engineer on the Partner Integrations team plays a key technical role in how NodeZero connects to the security ecosystem. Our integrations with CrowdStrike, SentinelOne,…
Added 48 mins ago
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XKEYSCORE Systems Engineer
Columbia Technology Partners
Annapolis Junction, MD
- $195,000 to $225,000 USD / year
CTP is seeking an experienced XKEYSCORE Systems Engineer to serve as a senior technical authority supporting the design, integration, testing, deployment, training, and sustainment of…
Added 51 mins ago
Director, Data Architecture
Colgate-Palmolive Company
Piscataway, NJ
…Enterprise Data Applications organization within Global IT. In this senior leadership role, you will lead and mentor the Architects and Engineers responsible for our Finance, Supply Chain,…
Added 1 hour ago
Full-Stack Engineer – Intelligent Engineering Platforms
Quest Global
Greenville, SC
This role turns powerful systems into usable systems - ensuring that innovation is not only technically brilliant but genuinely adopted.
Added 1 hour ago
Senior Software Engineer
Zelis Network Solutions, LLC
United States
Senior Software Engineer – Expert Claim Review
Added 1 hour ago
RH
Staff Software Engineer
Robert Half
Minneapolis, MN
- $180,000 to $250,000 USD / year
As a senior technical leader, you will raise the engineering bar across the organization by establishing standards, creating reusable platforms and patterns, improving documentation…
Added 1 hour ago
Application Security Engineer
The Pennsylvania State University
San Diego, CA
Experience with secure design reviews for APIs, distributed systems, mobile applications, or cross-domain solutions
Added 1 hour ago
Senior Systems Engineer
SAIC
North Charleston, SC
SAIC is seeking an Senior Systems Engineer to join our team in support of Naval Electronic Warfare (EW) missions. In this senior-level role, you will be responsible for architecting and…
Added 1 hour ago
Senior Cisco UC/VoIP Engineer
PEAKE
Falls Church, VA
PEAKE is hiring a Senior Cisco Unified Communications (UC) Engineer to design, implement, secure, and support enterprise voice and collaboration systems for DoD and federal customers.…
Added 1 hour ago
Senior Software Engineer - Hadoop Infrastructure
Bloomberg
NY
You are a dedicated and motivated engineer interested in building and managing large-scale distributed systems, looking for a tight-knit, collaborative team.
Added 1 hour ago
Data Engineer III | 1177
CTI Consulting
Quincy, MA
CTI Staffing is partnering with a leading retail organization to find a Senior Databricks Data Engineer for their enterprise data team based in the Greater Boston, MA area.
Added 1 hour ago
Full-stack Engineer 5 - Intelligent Foundations and Experiences (IFX)
Capital One
NY · Plano, TX · McLean, VA
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet…
Added 1 hour ago
Senior Data Engineer
Strategic Staffing Solutions
McLean, VA
We are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions within a large enterprise environment.
Added 1 hour ago
Staff Software Engineer
EF \/ Hult
Cambridge, MA
…digital experiences to match that ambition! As our Staff Software Engineer, you'll be one of the most senior individual contributors on the team, setting architecture and technical…
Added 1 hour ago
Senior Full Stack Java Engineer
CGI Technologies and Solutions, Inc.
Salt Lake City, UT
CGI is seeking a Senior Full Stack Java Engineer to join our consulting team supporting enterprise clients in the design, development, modernization, and scaling of mission-critical digital…
Added 2 hours ago
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Senior Data Engineer
Strategic Staffing Solutions
McLean, VA
- $75 to $85 USD / hour
We are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions within a large enterprise environment.
Added 2 hours ago
Full Stack Developer (Java + Angular)
CGI Technologies and Solutions, Inc.
Stratford, CA
CGI is seeking a highly skilled and experienced Senior Full Stack Engineer to join our growing team. In this role, you will leverage your expertise in Java, Spring Boot, Microservices,…
Added 2 hours ago
HI
NPS Research Engineer (Part Time) - 30667
Huntington Ingalls Industries
Monterey, CA
- Part-time
HII is seeking a highly motivated and technically skilled Research Development Engineer to support the Naval Postgraduate School (NPS) Energy Academic Group in Monterey, California. The…
Added 2 hours ago
Senior Software Engineer, Infrastructure, Search
Google
Mountain View, CA
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Added 2 hours ago
Senior Software Engineer, AI/ML, Search Personalization
Google
Mountain View, CA
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Added 2 hours ago
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Senior Project Engineer
ViaSat, Inc.
Englewood, CO
- $120,500 to $190,000 USD / year
…solutions across our Hybrid Platforms environment. As a Project Engineer in Hybrid Platforms, you will contribute to projects spanning multiple domains including fiber connectivity, network…
Added 2 hours ago
Senior Full Stack Engineer - Node.js
Hitachi Global
San Jose, CA
GlobalLogic estimates the starting base salary for the Senior Fullstack Engineer role in Santa Clara, CA to be between $135000 to $145000 and reflects base salary only and does not include…
Added 2 hours ago
Software Engineer I - Top Secret
Parsons Technical Services, Inc.
Remote, United States
Contribute code to CNO tool components in C under close guidance of senior and lead engineers, following established designs and standards

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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