Staff Software Engineer (Persistence & Data Management) at ServiceNow

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Data Structures, Algorithms, Concurrency, Parallel Programming, Databases, Data Modeling, Data Storage Technologies, Relational Databases, Cloud-Based Systems, Distributed Systems, Mentoring, Problem-Solving, Communication, Unit Testing, Integration Testing

Industry

Software Development

Description

Company DescriptionIt 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 DescriptionServiceNow is seeking a highly motivated and experienced Software Engineer in Platform Persistence to solve problems in management of data lifecycles within the ServiceNow ecosystem. This pivotal role focuses on ensuring the efficient stewardship of data within our platform. The Platform Persistence team is at the forefront of some of the most impactful projects, offering visibility to the executive leadership. As part of this team, you will play a crucial role in shaping the future of our platform's data architecture and ensuring that data is stored, retrieved, and managed efficiently. In addition to traditional data management, this team will have a unique focus on telemetry and data visualization, making a substantial impact on how customer and platform data is utilized and presented. What you get to do in this role:Writing highly scalable code leveraging best practices on concurrency and memory utilization. Help in data management strategies, ensuring scalability, efficiency, and security. Collaborate with cross-functional teams to implement data-related initiatives. Explore and experiment with challenging data problems including but not limited to data loss detection & recovery. Champion data best practices and security standards across the organization. Monitor and optimize data performance, troubleshooting and implementing improvements as needed. Stay current with the latest data storage and management technologies. Fosters a culture of innovation and continuous improvement. QualificationsTo be successful in the role: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 Cursor, Windsurf, etc. is a plus or nice to haveBachelor’s or master’s degree in computer science or a related field. 10 to 14 years of software development experience within a high-traffic, cloud-based environment. Proficiency in Java programming and strong expertise in data structures and algorithms. Proficiency with concurrency and parallel programming concepts. Deep knowledge of databases, data modeling, and data storage technologies. Strong relational database experience to handle large amount of data on relational systems. Strong understanding of cloud-based and distributed systems. Proven experience in leading and mentoring engineering teams. Familiarity with ServiceNow platform is a plus. Excellent problem-solving and communication skills. Familiar with various unit/integration test framework and TDD test practice to ensure code quality Working knowledge of JavaScript is beneficial for cross-functional collaboration. Additional InformationWork PersonasWe 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 EmployerServiceNow 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. AccommodationsWe 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 RegulationsFor 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

The role involves writing scalable code and helping in data management strategies to ensure efficiency and security. You will collaborate with cross-functional teams and explore challenging data problems, while championing data best practices across the organization.