Software Engineer

ServiceNow•Santa Clara, CA

About The Position

The Software Engineer designs, builds, and ships features for ServiceNow’s Strategic Portfolio Management (SPM) suite, which helps organizations align work with business objectives, manage demand, resources, and projects, and accelerate product and service delivery. The role combines strong engineering execution with product judgment and works closely with product managers to understand customer problems, shape solutions, and deliver them end to end. The engineer builds AI-native features and applies AI tools throughout design, development, testing, and delivery, while validating AI-generated output for correctness, security, and maintainability. The role also includes production issue investigation and resolution, including P1 escalations during US business hours, and contributions to platform security, accessibility, and quality.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field and 3–5 years of professional software engineering experience, or a Master’s degree in a related field and 2–3 years of professional software engineering experience.
Experience leveraging or critically considering how to integrate AI into work processes, decision-making, or problem-solving.
Demonstrated experience building full-stack applications using modern UX frameworks, JavaScript/TypeScript, and a server-side language such as Java or Python.
Builder mindset, with the ability to weigh user value, usability, technical design, and quality risk when choosing solutions.
Demonstrated effective use of AI tools, such as coding assistants, LLM-based tools, or AI-enabled testing, to improve engineering productivity, with sound judgment about when to verify AI output.
Strong communication skills and ability to work with product, QE, and platform partners.
Familiarity with developing products that comply with accessibility standards (WCAG).

Responsibilities

Design, develop, and deliver features for the Portfolio Management suite.
Build AI-native features using generative and agentic capabilities to improve planning workflows, insights, and user experience.
Apply AI tools across the development lifecycle, including code generation, test creation, debugging, documentation, and code review, while validating output for correctness, security, and maintainability.
Partner with product managers to translate customer needs into well-scoped technical solutions and weigh user value, complexity, and delivery timelines.
Write clean, tested, maintainable code with automation; participate in code reviews, design reviews, and release activities; and contribute to team engineering practices.
Investigate and resolve production issues, including P1 escalations during US business hours, and drive root cause analysis and preventive fixes.
Contribute to platform security, accessibility (WCAG), and quality improvements.