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
Position Overview
ServiceNow is seeking a highly motivated and experienced Senior Staff Software Engineer for platform engineering across DevOps, Deployment, and Performance Engineering functions within the PAXE DevOps & Performance Engineering organization. This role sits at the intersection of developer productivity, AI-native tooling, and operational excellence, owning the systems and practices that enable teams to ship with speed and confidence.
As a technical anchor on the team, you will drive the strategy and execution for CI/CD pipeline enablement, the cross team AI development platform, and shift-left performance engineering. You will work closely with partner organizations including framework, UX and other engineering teams to build the infrastructure and tooling that powers how AI is built, tested, and delivered at ServiceNow. Success in this role requires strong cross-functional collaboration aligning on developer experience, end-to-end delivery, and platform teams on observability and release quality. This role offers high executive visibility and the opportunity to shape foundational engineering practices across the organization.
Key Responsibilities
DevOps & Release Engineering
- Lead design and execution of CI/CD pipeline enablement, working with devProd to improve developer throughput, greenlight processes, and merge guidance.
- Own the Application Rating Tool and observability infrastructure, partnering with platform teams to surface actionable engineering metrics via a centralized dashboard.
- Drive the all Pods technically, establishing scalable testing patterns across frameworks and applications built on Karuna.
- Build and maintain the IT initial triage agent, applying AI to automate first-line engineering support.
Cross team delivery Platform
- Own the cross team platform roadmap.
- Architect and implement batch API strategies to avoid API rate-limit thresholds and improve platform reliability.
- Build and iterate on the Pod Coach / Scrum Master agent, applying agentic AI to improve team delivery workflows.
- Drive MCP integration and lead weekly communications, demos, and governance meetings to align stakeholders and scale adoption.
- Maintain documentation and program-level visibility.
Performance Engineering
- Lead a shift-left performance strategy, embedding client, API, and page-load performance tooling earlier in the development lifecycle.
- Define and drive performance monitoring requirements for Lit based framework and application-level workloads.
- Own the Performance Tooling efforts, reporting infrastructure, and test data strategy.
- Coordinate with the broader Performance Engineering team on MCP integration and result triage workflows.
Technical Leadership
- Act as a technical leader and mentor, setting engineering standards, driving code quality, and fostering a culture of continuous improvement.
- Champion the use of AI to accelerate DevOps and platform engineering including AI-assisted PR reviews, skill/agent development, deployment recommendations, test generation, and predictive monitoring.
- Partner with Engineering Managers and cross-functional teams to align on roadmap priorities, delivery milestones, and operational health.
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- 12+ years of software engineering experience in a high-traffic, cloud-based environment, with at least 3 years in a senior or staff-level individual contributor role.
- Strong proficiency in Java and/or Python, with solid understanding of distributed systems, concurrency, and scalable service design.
- Deep hands-on experience with CI/CD platforms (e.g., Jenkins, GitHub Actions) and modern DevOps tooling at scale including pipeline design, build optimization, and release automation.
- Expert-level knowledge of Kubernetes and container orchestration
- Strong observability and monitoring background — hands-on with Grafana, Prometheus, OpenTelemetry, or equivalent stacks; able to design and instrument dashboards, alerts, and SLO/SLI frameworks across distributed services.
- Experience operating and debugging services on Kubernetes clusters — log aggregation, tracing, resource profiling, and incident response in containerized environments.
- Demonstrated experience building and operating developer productivity or internal platform tooling.
- Understanding of performance engineering concepts including load testing, API latency profiling, page-load optimization, and shift-left testing strategies.
- Track record of applying AI/ML or agentic AI to engineering workflows; experience with MCP, A2A, or AI-native development platforms is a strong plus.
- Excellent cross-functional collaboration and communication skills — able to influence partner orgs (App and platform teams), lead governance forums, and drive alignment without direct authority.
- Familiarity with the ServiceNow platform is a plus.
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 [email protected] 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.
Skills Required
- Experience integrating AI into work processes, decision-making, problem-solving, or workflow automation
- 12+ years of software engineering experience in a high-traffic, cloud-based environment
- At least 3 years in a senior or staff-level individual contributor role
- Strong proficiency in Java and/or Python
- Understanding of distributed systems, concurrency, and scalable service design
- Hands-on experience with CI/CD platforms such as Jenkins or GitHub Actions and modern DevOps tooling at scale
- Expert-level knowledge of Kubernetes and container orchestration
- Hands-on observability and monitoring experience with Grafana, Prometheus, OpenTelemetry, or equivalent
- Experience designing dashboards, alerts, and SLO/SLI frameworks across distributed services
- Experience operating and debugging services on Kubernetes clusters, including logging, tracing, profiling, and incident response
- Experience building and operating developer productivity or internal platform tooling
- Understanding of performance engineering, load testing, API latency profiling, page-load optimization, and shift-left testing
- Track record applying AI/ML or agentic AI to engineering workflows
- Excellent cross-functional collaboration and communication skills
- Experience with MCP, A2A, or AI-native development platforms
- Familiarity with the ServiceNow platform
What the Team is Saying
ServiceNow Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive with multiple plan choices and strong perceived coverage, alongside mental-health resources and wellbeing support. Company materials and employer-verified summaries also note inclusive care options and supportive programs.
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Parental & Family Support — Parental leave and family-planning support are characterized as generous, with fully paid leave and resources such as fertility, caregiving, and adoption assistance. Backup care and other family-focused programs are also highlighted as part of the package.
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Equity Value & Accessibility — Equity components like RSUs and an employee stock purchase plan are presented as meaningful, widely available parts of total rewards. Many role and benefits overviews emphasize equity’s role in boosting overall compensation alongside bonuses.
ServiceNow Insights
What We Do
As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,400+ customers, we serve approximately 90% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.careers.servicenow.com From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Why Work With Us
By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.
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ServiceNow Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At ServiceNow, we lead with flexibility and trust. For some, home is the primary workplace. For those who come into a ServiceNow workplace, you are empowered to make team-guided and individual-led decisions on how and when you use the workplace.
