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# Cloud DevOps Engineer

- **Company:** NTT DATA, Inc.
- **Location:** Princeton, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Continuous Delivery, Continuous Integration, Data Recovery, DevOps, Distributed Systems, Middleware, Github, Revision Control Systems, IBM WebSphere MQ, Issue Tracking Systems, Java Message Service (JMS), Python (Programming Language), Windows PowerShell, Shell Script, Datadog, Scripting, System Availability, Prompt Engineering, Spring-boot, Generative AI, Cloudformation, Infrastructure Automation Frameworks, Information Technology, Terraform, Splunk, Servicenow
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e55921b2b3eb4913

## About the Role

* Good knowledge of UNIX/Linux systems and technologies - including shell scripting, OS configuration and troubleshooting
 * Good knowledge of the Java eco system running of Springboot
 * Understanding of messaging-oriented middleware especially JMS (e.g. IBM MQ, Active MQ)
 * Hands on experience of working in the AWS cloud
 * Knowledge of AWS Cloud formation/Azure DevOps/Terraform and Experience with configuration and deployment management in a scripting language
 * Experience of supporting a high uptime/high availability system
 * Understanding of Continuous Integration and Continuous Delivery, concepts and tooling
 * Prior experience of Incident Management/Ticketing Systems (e.g. Jira, ServiceNow) and workflows
 * Experience in source control systems (e.g. GITHub) - branching, hook scripting, access control, backup & recovery
 * Good knowledge of cloud computing concepts
 * AI & Productivity Tooling (Modern Skills):
 * Good knowledge of GenAI tools
 * Familiarity with prompt engineering or using AI to automate documentation, scripting, monitoring
 * Experience using AI to accelerate DevOps, CI/CD pipelines, or observability tooling is a major advantage.
 * Additional Preferred Qualifications:
 * Proven experience in monitoring, analysing, and optimizing large-scale distributed systems in a cloud environment.
 * Strong scripting and automation skills (PowerShell, Bash, Python) - bonus if paired with AI-based infrastructure tools.
 * AWS certification or similar credentials are a plus.
 * Experience with observability and monitoring platforms (e.g. Splunk, Datadog)

Soft Skills:

 * Strong problem-solving skills with a growth mindset and openness to AI-powered innovation.
 * Excellent communication and cross-functional collaboration abilities.
 * Capable of managing priorities and meeting deadlines in a fast-paced, continuously evolving environment.
 * Occasional outside support hours will be required as part of an on-call rota to provide 24/7 cover
 * Action Managed Services requests within defined SLAs
 * Be familiar with operating in a challenging environment supported from different locations and should also have a strong appreciation of Development processes, tool sets and delivery infrastructure, and be comfortable working with multiple differing systems and tools.

Education & Experience:

 * Bachelor's degree in computer science, preferably engineering graduate or equivalent
 * 7 to 10 years of experience as a cloud engineer.