What you'll be doing

Build high-quality, scalable, clean, and reusable applications and integration solutions using ServiceNow platform and related technologies.
Partner with product owners to understand detailed requirements and own code from design, implementation, test automation, and delivery of high-quality products.
Design and develop scalable, maintainable, and reusable software components focusing on performance and reliability.
Own critical technical initiatives from planning to deployment and continuously improve existing applications and services.
Explore the latest ServiceNow features and evaluate them for adoption.
Develop proof-of-concept and prototype solutions to validate architectural and design decisions.
Establish and promote best practices in 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 to foster technical excellence and professional growth within the team.

Requirements

7+ years of software engineering experience with a record of technical direction beyond immediate team.
Effective, accountable use of AI coding assistants and agents.
Hands-on experience authoring agentic instructions and prompts, designing autonomous workflows, and building evaluation systems.
Production experience with LLM APIs, retrieval-grounded features, agent orchestration, tool and function calling, and structured output enforcement, including model or orchestration migration.
Experience in system design, APIs, data modelling, and testing across front-end, server-side, and relational data with a high-quality mindset.
Proficiency with Java, JavaScript/TypeScript, React, and ability to quickly learn new tools and frameworks.
Familiarity with automated testing frameworks such as JUnit, Selenium, TestNG, Playwright, and integrating tests into CI/CD pipelines.
On-call and incident-command experience on 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 a related field, or equivalent practical experience.