Staff Software Engineer, AI-Native Developer Platform

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.

What You Get to Do

Join a team shaping the future of AI-native software development at ServiceNow. Our mission is to build the platforms, frameworks, and developer experiences that enable engineering teams to create, modernize, and operate applications in an AI-first world.As a Staff Software Engineer, you will design and develop scalable platform capabilities that improve developer productivity, accelerate application delivery, and bring AI-powered workflows directly into the software development lifecycle.

You will work across backend services, developer tooling, and modern web technologies to create reusable solutions that can be adopted across engineering organizations.

For positions in this location, we offer a base pay of $166,500 - $291,400 , 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.

Responsibilities

Design, develop, and deliver high-quality, scalable, and maintainable software using industry best practices for architecture, code quality, testing, and operational excellence.; Build AI-native developer experiences that help engineers create, test, deploy, and operate applications more efficiently.; Partner closely with product managers, architects, and engineering teams to understand requirements and drive solutions from concept through production.; Design and develop reusable platform services, APIs, and frameworks that can be leveraged across multiple engineering organizations.; Leverage AI technologies to streamline software development workflows, automate repetitive tasks, and improve developer productivity.; Build modern, responsive user experiences using contemporary frontend frameworks.; Act as a technical leader by driving architecture discussions, mentoring engineers, and influencing engineering best practices.; Continuously improve platform reliability, scalability, performance, and observability.; Evaluate and adopt emerging AI technologies, tools, and development patterns that enhance engineering effectiveness.

Requirements

Passion for applying AI to solve real-world developer productivity and software engineering challenges.; Deep expertise in Java and modern backend development.; Strong experience building scalable distributed systems and enterprise-grade applications.; Experience with JavaScript/TypeScript and modern frontend frameworks such as React.; Strong understanding of data structures, algorithms, object-oriented design, design patterns, and performance optimization.; Experience designing and consuming RESTful APIs and microservices architectures.; Experience building cloud-native applications and services.; Strong analytical, problem-solving, and system design skills.; Proven ability to operate effectively in complex, highly collaborative engineering environments.; 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.; 10+ years of professional software engineering experience.; Strong proficiency with:; Java; JavaScript / TypeScript; Node.js; React; REST APIs; Distributed Systems; Cloud Platforms (AWS, Azure, or GCP); Container Technologies (Docker, Kubernetes); Experience with developer productivity platforms, internal developer portals, SDLC tooling, CI/CD systems, or platform engineering initiatives.; Hands-on experience using AI-powered development tools such as Cursor, Windsurf, GitHub Copilot, Claude Code, or similar technologies.; Experience integrating GenAI, AI agents, MCP, LLM-powered workflows, or AI-assisted automation into engineering solutions.; Experience improving engineering efficiency through automation and AI-driven workflows.