Senior Software Engineer - Observability & Data Platform - Federal

Senior Staff Software Engineer - Observability & Data Platform - Federal

• Full-time
• Employee Type:
  Regular
• Region: AMS - North America and Canada
• Work Persona:
  Flexible

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.

• Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
• 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.
• 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.

• Experience in leveraging critical 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.
• 10+ years of experience in software engineering, with a track record of delivering high-quality products.
• Proficiency in Python, Java, or similar object-oriented languages.
• 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.
• Strong knowledge and/or experience with data modeling, tuning, and design across multiple database types such as Time Series, log databases, and Postgres.
• A proven track record of delivering innovative platform capabilities or products.
• Ability to thrive in dynamic, fast-paced environments where priorities evolve quickly.
• Strong design and implementation experience, with deep knowledge of distributed systems, service architectures, and hyperscaler environments.
• Experience with Unix shell and Kubernetes is a must.
• Ability to troubleshoot complex systems and optimize performance across the stack.
• Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.
• Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems.

• Build and deliver high-impact software that powers digital experiences for millions of users.
• Collaborate in a culture that values craftsmanship, quality, and innovation.
• Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability.
• Be part of a culture that encourages innovation, continuous learning, and shared success.

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 Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now office using a third-party service.

Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed,…