ServiceNow Logo

ServiceNow

Staff Software Engineer- Fullstack

Posted 5 Days Ago
Be an Early Applicant
Hybrid
Hyderabad, Telangana
Expert/Leader
Hybrid
Hyderabad, Telangana
Expert/Leader
Designs and builds AI-powered application-development tools and scalable full-stack web platforms. Responsibilities include architecting UI and backend systems, developing microservices on Kubernetes, establishing engineering standards, integrating AI into development workflows, improving developer experience, and collaborating with product, machine learning, and engineering teams. The role requires strong software architecture, modern frontend, Java backend, API, database, accessibility, and cross-functional collaboration expertise.
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're looking for a Staff Full Stack Developer to help build and scale our AI-powered tools for application development. You'll work at the intersection of UI, backend, and AI-driven engineering — architecting solutions that improve developer experience, expand platform capabilities, and drive engineering excellence across the team.

What you'll do:

  • Design and implement AI-powered tools for application development, using cutting-edge technical approaches to deliver business value
  • Architect and build core web technology stacks — authentication, event tracking, application platform, and design systems
  • Drive architecture and engineering standards at the team and division level, promoting best practices for building modular, scalable web apps and APIs
  • Design, develop, and maintain microservices-based applications on Kubernetes, improving scalability, reliability, and deployment speed
  • Work closely with product, ML, and engineering teams to enhance developer experience, close technology gaps with creative solutions, and increase customer adoption
  • Expand the product's reach to more customers, domains, and global markets while maintaining high engineering quality
  • Integrate AI into engineering workflows and decision-making — using AI-powered tools, automating processes, and applying AI-driven insights to improve how the team builds and ships software
  • Operate at a startup pace with a high degree of total ownership, even within a larger organization

Qualifications

  • 10+ years of software engineering experience building scalable, high-quality applications
  • Expertise in Java, JavaScript and modern UI frameworks — React, Angular, or Lit (required)
  • Hands-on proficiency using AI tools (e.g., Copilot, Claude, or similar) in day-to-day development work is a must
  • Strong command of UI design principles, usability, cross-browser compatibility, and accessibility standards
  • Experience with REST, JSON, AJAX, and relational databases
  • Experience with event-driven and stateless architectures, functional programming, and abstract data types (ADTs)
  • Demonstrated experience driving architecture and engineering standards at a team or division level
  • Strong critical thinking and a track record of integrating AI into engineering processes, workflows, or decision-making
  • Excellent cross-functional collaboration skills and strong product sense
  • BS or higher in Computer Science or a related field, or equivalent practical experience
  • A constant thirst for learning and willingness to work outside your comfort zone
  • Backend development experience with Java is an added advantage
  • ServiceNow platform certification and/or development experience is a strong added advantage

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
Mid level
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
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.
Top Skills: Ai ApisClaudeCursorJavaJavaScriptLlmsRelational DatabasesRestful ApisSQLWeb ServicesWindsurf
Yesterday
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads the design, development, and production operation of cloud-native platform components, with a focus on Kubernetes operators, controllers, infrastructure automation, and distributed systems. Owns major technical initiatives end to end, drives reliability and scalability, partners on platform architecture, resolves technical risks, and mentors engineers. The role requires extensive experience with Go, Kubernetes, public clouds, stateful workloads, GitOps, infrastructure as code, observability, and large-scale distributed platforms.
Top Skills: Admission ControllersAksAlertingApache KafkaAvroAWSAzureCi/CdContainer Networking (Cni)ContainersCrossplaneCustom Resource Definitions (Crds)EksEvent-Driven SystemsGCPGitopsGkeGoInfrastructure As CodeKubebuilderKubernetesKubernetes OperatorsLoggingMetricsMicroservicesMonitoringMtlsObservabilityOperator FrameworkOrcParquetRedisSecrets ManagementService MeshService-Level Objectives (Slos)TerraformTracingWorkload Identity
Yesterday
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads the design, development, and operation of large-scale Kubernetes platforms and distributed cloud-native systems. Builds operators, controllers, infrastructure automation, and platform services in Go; owns initiatives from architecture through production support. Partners with senior technical leaders, drives reliability and scalability, mentors engineers, and applies observability, GitOps, infrastructure-as-code, and cloud technologies across managed and self-managed Kubernetes environments.
Top Skills: Admission ControllersAksApache KafkaAvroAWSAzureCi/CdContainer Networking Interface (Cni)ContainersCrossplaneCustom Resource Definitions (Crds)EksGCPGitopsGkeGoKubebuilderKubernetesKubernetes OperatorsMtlsOperator FrameworkOrcParquetRedisService MeshTerraform

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