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Infrastructure Developer

ServiceNow

Infrastructure Developer

ServiceNow

Hyderabad

·

On-site

·

Full-time

·

5d ago

**What you get to do in this role:  **

  • As a Software Engineer in the ITAM Content Service team, your responsibilities will include
  • Using the latest technologies to build end to end features in our Content Infrastructure by implementing scalable designs, integrating Service Now capabilities with cutting edge AI technologies
  • Implement and optimize AI model services and integrate Generative AI models such as OpenAI, Gemini, and Claude LLMs into enterprise workflows
  • Design and develop applications within the Service Now platform while writing clean, scalable, and reusable code by enforcing best practices (Code Reviews, Unit testing, etc.)
  • Design and develop custom Service Now Service Portal widgets, pages, and applications to create intuitive user experiences.
  • Build APIs, microservices, and user interfaces that enable seamless interaction with AI powered features
  • Implement prompt engineering, retrieval augmented generation (RAG strategies for delivering best in class features.
  • Learn in depth the Asset Management product and help in designing, developing & enhancing curation workflows.
  • Work with Product Management, Application developers, Content Curators, and quality team towards defining the right ITAM content infrastructure
  • As a member of the content Infrastructure development team, be willing to jump into firefighting on infrastructure or operational issues at short notice

To be successful in this role you have:

  • 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.
  • 4+ years of software development experience with strong command of Python/Java and/or JavaScript.
  • Hands-on experience developing LLM-powered or agent-based systems using frameworks such as Lang Graph, CrewAI, Agno, or similar orchestration tools.
  • Deep understanding of REST APIs, event-driven systems, asynchronous workflows, and scalable back-end design.
  • Experience implementing generative AI models in enterprise workflow applications.
  • Strong foundation in data structures, algorithms, object-oriented design, and design patterns, with attention to performance and scalability.
  • Experience deploying AI or automation systems in production, emphasizing versioning, traceability, and performance monitoring.
  • Familiarity with retrieval-augmented generation (RAG), and prompt optimization.
  • Working knowledge of the Service Now platform or willingness to learn it.
  • Strong focus on code quality, observability, and operational excellence in AI workflows.
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Demonstrated ability to leverage or critically evaluate AI integration in work processes, decision-making, or problem-solving — including using AI-powered tools, automating workflows, analyzing AI-driven insights, and exploring AI’s impact on business functions.

FD21

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 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.

Equal Opportunity Employer

Service Now 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 globaltalentss@servicenow.com 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), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now 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.

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.

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About ServiceNow

ServiceNow

ServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.

10,001+

Employees

Santa Clara

Headquarters

Reviews

3.9

25 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

2.8

Career

3.5

Management

2.9

45%

Recommend to a Friend

Pros

Good compensation and benefits package

Learning opportunities and skill development

Work-life balance emphasis and flexible remote options

Cons

Toxic management and politics

Heavy bureaucracy and slow decision making

Layoffs and restructuring uncertainties

Salary Ranges

31 data points

Junior/L3

Junior/L3 · Data Informatics Analyst

1 reports

$77,167

total / year

Base

$67,059

Stock

-

Bonus

-

$77,167

$77,167

Interview Experience

11 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer Rate

45%

Experience

Positive 18%

Neutral 82%

Negative 0%

Interview Process

1

Application Review

2

Phone Screen/Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Round/Panel Interview

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience