Senior Data Platform Software Engineer

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

The engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, AI-powered software products that elevate how organizations work. We value clean architecture, intuitive user experiences, and a culture of continuous improvement. Every engineer here plays a key role in shaping the quality and reliability of our products.

As a Staff Data Platform Engineer, you will be a key technical contributor within the Trino Engine team in the Platform Persistence group. Our largest customers are always pushing the limits of the backend storage in terms of size of the data, speed of IO, as well as number of concurrent transactions. Performance, reliability, and scalability is always at the core of our work.

You will focus on developing and optimizing critical components of our Trino engine and its containerized deployment infrastructure.

What you get to do in this role:

• Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability. Design and implement critical components of the Trino engine
• Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery
• Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
• Contribute to the design and implementation of new products and features while enhancing existing product capabilities. Contribute to technical design decisions and architectural improvements.
• Integrate automated testing into development workflows to ensure consistent quality across releases.
• Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
• Develop comprehensive test strategies covering functional, regression, integration and performance aspects
• Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality
• Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team. Collaborate with team members to solve complex distributed systems challenges.
• Develop and optimize query processing and execution systems. Implement performance optimizations and scalability improvements. Build containerized deployment solutions for Trino in production environments

To be successful in this role you have:

• 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.
• Experience In using AI Productivity tools such as Windsurf, Cursor, etc is a plus or nice to have.
• Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
• Proficiency in Java/JVM ecosystem and performance tuning
• Experience with modern front-end frameworks such as Angular, React, or Vue.
• Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
• Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
• Understanding software quality principles including reliability, observability, and production readiness.
• Ability to troubleshoot complex systems and optimize performance…