Staff Data Platform Software Engineer at ServiceNow

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

272700.0

Posted On

16 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Integration, Trino Engine Development, Distributed Query Processing, Performance Tuning, Java, SQL, Container Orchestration, Monitoring Tools, Cloud Platforms, Data Governance, Big Data Systems, Open Source Contributions, Cloud-Native Architectures, Data Lake Architectures, Problem Solving, Analytical Abilities, Technical Documentation

Industry

Software Development

Description

Company Description 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 — ServiceNow 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. Job Description 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'll do: • Design and implement critical components of the Trino engine • Develop and optimize query processing and execution systems • Build containerized deployment solutions for Trino in production environments • Contribute to technical design decisions and architectural improvements • Collaborate with team members to solve complex distributed systems challenges • Implement performance optimizations and scalability improvements • Participate in code reviews and technical discussions Qualifications Required Technical Skills: 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 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. Strong expertise in Trino engine development or similar distributed query engines Solid experience with container orchestration platforms (Kubernetes, Docker) Strong understanding of distributed query processing and optimization Experience in performance tuning and troubleshooting distributed systems Advanced knowledge of Java/JVM ecosystem and performance tuning Strong background in SQL and distributed database systems Familiarity with monitoring and observability tools Nice to Have: Hands-on experience with distributed query engines (Trino, Spark, or similar) Contributions to open-source projects Experience with cloud-native architectures Knowledge of data governance and security practices Background in performance optimization of big data systems Knowledge of data lake architectures and technologies Experience with cloud platforms (AWS/GCP/Azure) Additional Skills: Strong problem-solving and analytical abilities Good communication skills to collaborate effectively with team members Ability to write clear technical documentation Track record of delivering complex technical projects Experience working in a customer-focused environment For positions in this location, we offer a base pay of $155,800 - $272,700, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Responsibilities

As a Staff Data Platform Engineer, you will design and implement critical components of the Trino engine and develop solutions for its containerized deployment. You will also collaborate with team members to solve complex distributed systems challenges and implement performance optimizations.