Build high-quality, scalable, clean, and reusable applications and integration solutions using the ServiceNow platform and related technologies.
Partner with product owners to understand detailed requirements and own your code from design through delivery, including test automation.
Design and develop scalable, maintainable, and reusable software components emphasizing performance and reliability.
Own critical technical initiatives from planning to deployment, continuously refining and improving applications and services.
Explore and evaluate the latest ServiceNow features for adoption.
Develop proof-of-concept and prototype solutions to validate architectural and design decisions.
Establish and promote best practices around platform development, integrations, and performance optimization.
Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality.
Mentor and guide engineers, fostering technical excellence and professional growth within the team.
Requirements
5+ years of software engineering experience with a record of technical direction adopted beyond your immediate team.
Effective and accountable use of AI coding assistants and agents.
Hands-on experience authoring agentic instructions and prompts, designing autonomous workflows, and building evaluation methods.
Production experience with LLM APIs, retrieval-grounded features, agent orchestration, tool and function calling, and structured output enforcement, including at least one model or orchestration migration in production.
Proficiency in system design, APIs, data modeling, and testing across front-end, server-side, and relational data, with a high-quality mindset.
Experience with Java, JavaScript/TypeScript, React, and ability to quickly learn new tools and frameworks.
Familiarity with automated testing frameworks such as JUnit, Selenium, TestNG, and Playwright, with experience integrating tests into CI/CD pipelines.
On-call and incident command experience with customer-facing systems, including ownership of systemic fixes.
Ability to troubleshoot complex systems and optimize performance across the stack.
Bachelor's degree in Computer Science, software engineering, or related technical field, or equivalent practical experience.
Nice to haves
Experience using AI coding tools such as Claude or Codex.