Staff Software Engineer, AI-Native Developer Platform
Staff Software Engineer on ServiceNow's AI-Native Developer Platform team, designing scalable backend services, developer tooling, and AI-powered workflows across the SDLC. Core stack: Java, JavaScript/TypeScript, Node.js, React, REST/microservices, cloud (AWS/Azure/GCP), Docker/Kubernetes, plus GenAI tools like Copilot and MCP.
- Compensation
- $166.5K–$291.4K / yr
- Location
- Santa Clara, California, us
- Work setup
- Hybrid
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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 leveraging or critically thinking about integrating AI into work processes, decision-making, or problem-solving
- 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), and 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
- Experience integrating GenAI, AI agents, MCP, LLM-powered workflows, or AI-assisted automation into engineering solutions
Full description
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.
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.
To Be Successful in This Role, You Have
- 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.