ServiceNow Logo

ServiceNow

Software Engineer

Posted Yesterday
Be an Early Applicant
Hybrid
Hyderabad, Telangana
Mid level
Hybrid
Hyderabad, Telangana
Mid level
Build and upgrade ServiceNow risk management applications and platform capabilities. Design, implement, test, and deliver scalable software while following architecture, code review, unit testing, and security best practices. Collaborate with developers, product owners, and risk specialists to translate requirements into technical solutions. Integrate AI into workflows, evaluate AI output quality, monitor hallucinations, and protect against prompt injection and data leakage.
The summary above was generated by AI
Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

 

Job Description

We are from the Risk Engineering team, responsible for the Risk Management applications within the ServiceNow Integrated Risk Management (IRM) portfolio. This individual will support us by building and upgrading risk applications and the platform capabilities they depend on.

Responsibilities

  • Build high-quality, clean, scalable, and reusable code by enforcing best practices in software architecture and engineering processes (code reviews, unit testing, automated test coverage).
  • Partner with developers, product owners, and risk SMEs to understand requirements, then own your code from design and implementation through test automation and delivery of high-quality features to customers.
  • Embed secure-by-design principles, including data privacy, access controls, and protection against AI-specific risks like prompt injection and data leakage.

Qualifications

  • Experience integrating AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights.
  • Knowledge of evaluating AI output quality, including test sets, accuracy and hallucination monitoring, and regression testing for prompts and models.
  • 2-5 years of proficiency in JavaScript and at least one object-oriented language (Java is a plus).
  • Strong knowledge of relational databases and SQL.
  • Familiarity with RESTful APIs and modern web services.
  • Understanding of AI/ML concepts. Hands-on experience with LLMs or AI APIs is a plus.
  • Experience with AI productivity tools such as Claude, Cursor, or Windsurf is a plus.
  • Strong communication skills for translating risk SME requirements into technical designs and for explaining AI behavior to non-technical stakeholders.

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, religion, sex, sexual orientation, national origin, age, disability, gender identity,  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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

HQ

ServiceNow Santa Clara, California, USA Office

2225 Lawson Lane, Santa Clara, CA, United States, 95054

ServiceNow Pleasanton, California, USA Office

4305 Hacienda Drive, Suite 200, Pleasanton, CA, United States, 94588

ServiceNow San Francisco, California, USA Office

101 Green Street, San Francisco, CA, United States, 94111

Similar Jobs at ServiceNow

Yesterday
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Provides technical direction for AI-native products, leading architecture and delivery of complex platform features. Builds LLM-integrated workflows, agentic systems, prompt and context strategies, evaluation pipelines, and governance controls. Establishes AI-assisted development practices, mentors engineers, partners across product and UX, and owns production quality, observability, release readiness, and defect triage for enterprise SaaS capabilities.
Top Skills: Agentic ArchitecturesAi AgentsContent Delivery Networks (Cdns)Enterprise SaasJavaJavaScriptLarge Language Models (Llms)Lit FrameworkMulti-Tenant SystemsTemporal
Yesterday
Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and develop scalable Java backend services, APIs, and distributed systems. Own features from design through delivery, collaborate with product managers, implement automated testing, conduct code reviews, and optimize performance, reliability, observability, and production readiness. The role also involves troubleshooting complex systems, validating AI-powered workflows, and promoting engineering craftsmanship and knowledge sharing.
Top Skills: Ci/CdJavaJunitMockitoPythonRestful ApisTestngUnix
2 Days Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, develop, and maintain scalable full-stack software components and user experiences. Own features from design through delivery, collaborate with product managers, integrate automated testing into CI/CD pipelines, and contribute to code and design reviews. Develop functional, regression, integration, and performance test strategies while optimizing reliability, observability, and performance. Apply AI-powered tools and workflows to software engineering and quality practices.
Top Skills: AngularCi/CdJavaJunitPythonReactSeleniumTestngUnixVue

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account