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Staff Devops Engineer - Moveworks

ServiceNow

Staff Devops Engineer - Moveworks

ServiceNow

Bangalore

·

On-site

·

Full-time

·

5d ago

What You Will Do

  • Closely work with platform, machine learning, search, data, and frontend teams, understand their DevOps and infrastructure needs, influence DevOps roadmap, and lead as well as execute on various projects
  • Design, build, and manage the Moveworks multi-tenant AWS cloud infrastructure ensuring scalability, performance, observability, resilience, and cost optimization
  • Own all Kubernetes clusters and service deployments
  • Improve observability and reliability of Moveworks systems by managing monitoring and alerting infrastructure (Prometheus, Grafana, Pager Duty, etc.)
  • Build and manage CI/CD pipelines with infrastructure as code and full automation to provision and manage Moveworks application stack across different environments
  • Design and manage networking infrastructure with best in class security practices at multiple Moveworks office sites
  • Work with Moveworks’ security team on enhancing the privacy and security posture of the Moveworks infrastructure

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.
  • 7+ years of experience in DevOps engineering and administration
  • Strong technical expertise in designing and building AWS cloud infrastructure with extensive experience in managing AWS security groups, IAM roles, Elastic Load Balancers, Cloud Formation, and other AWS services
  • Strong knowledge of VPN, AWS VPC, DNS, etc. and experience in troubleshooting network issues
  • Strong coding discipline for DevOps - builds clean, testable, maintainable, extensible automation in Python (not ad-hoc scripts), focused on DevOps-owned self-serve frameworks and tools.
  • Production experience operating and scaling search infrastructure (Open Search/Elasticsearch), including cluster sizing and performance tuning, shard/replica strategy, backup/restore, and reliability/latency optimization for customer-facing search workloads.
  • Experience with deploying and managing Kubernetes clusters, Vault, Istio, etc.
  • Working knowledge of disaster recovery process and security areas such as data backup and recovery, replication, AWS KMS, certificate management, encryption, penetration testing, vulnerability scanning, security tools, etc.
  • Comfortability with tools such as Jenkins, Terraform, Ansible, Helm, etc.
  • An appetite for working at a startup pace on challenging problems with a high degree of ownership

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.

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce.

Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.

Moveworks is trusted by over 5.5 million employees at more than 350 of the world’s largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft’s 2025 Partner of the Year and in 2024, received the AI Breakthrough Award.

In December 2025, Moveworks was acquired by Service Now, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining Service Now’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work.

By joining our team, you’ll be at the forefront of the AI transformation, backed by the global scale of Service Now and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business.

Service Now

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

Mid/L4

Junior/L3 · Associate Information Security Engineer

1 reports

$105,375

total / year

Base

$81,058

Stock

-

Bonus

-

$105,375

$105,375

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