DevOps / Cloud Engineer - Terraform & Java

We are seeking an experienced DevOps / Cloud Engineer to support cloud-based data platforms and automation initiatives, with a strong focus on Terraform, Kubernetes, Java, and deployment automation. The engineer will design and maintain scalable infrastructure-as-code solutions using Terraform and will be expected to quickly upskill in OpenTofu as the platform evolves. This role will work closely with data engineering and application teams to support automated deployments, containerized workloads, and cloud infrastructure, primarily within AWS environments. The ideal candidate is a hands-on engineer who combines strong Terraform and Kubernetes expertise with Java development capabilities and an understanding of modern cloud and data engineering practices. Day-to-day responsibilities will include developing and maintaining infrastructure-as-code, supporting CI/CD and deployment automation, troubleshooting platform and infrastructure issues, and collaborating with technical and business stakeholders to deliver secure, reliable, and scalable solutions.

• 5+ years of overall experience in DevOps, cloud engineering, software engineering, or a related technical discipline.
• 3+ years of hands-on Terraform experience, including Infrastructure as Code (IaC), infrastructure provisioning, and deployment automation.
• 3+ years of hands-on Kubernetes experience supporting containerized applications or cloud-based platforms.
• 3+ years of Java programming experience, with the ability to develop, modify, and troubleshoot code supporting platform and automation capabilities., * Experience with OpenTofu, or the ability to quickly transition existing Terraform expertise to OpenTofu.
• Experience with AWS and cloud-based data engineering platforms, including knowledge of AWS security practices.
• Experience with Apache NiFi and modern data engineering practices and tooling.
• Experience with Docker, Prometheus, GitHub, and Jenkins Core.
• Familiarity with Open Table Format (OTF) or modern data lakehouse architectures.
• Strong problem-solving skills with the ability to work independently, communicate effectively, and explain complex technical concepts to both technical and non-technical audiences.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($70-$77/hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com