Site Reliability Engineering (SRE) & DevOps

We are seeking an experienced Technology Consultant - Site Reliability Engineering (SRE) & DevOps to join a high-performing, cross-functional SRE team. The ideal candidate should have strong expertise in cloud engineering, infrastructure automation, monitoring, and DevOps practices, with hands-on experience in Google Cloud Platform (GCP). The candidate will act as a Subject Matter Expert (SME) for operational automation, proactively identify operational toil (TOIL), and design and implement automation solutions that improve operational efficiency, reliability, and scalability across enterprise platforms.

Day to Day Job Duties:

• Design, develop, and implement automation solutions to eliminate operational TOIL and improve system reliability.
• Manage and support cloud infrastructure on Google Cloud Platform (GCP).
• Define and monitor Service Level Indicators (SLIs), Service Level Objectives (SLOs), Customer/User Journey (CUJ) metrics, and Error Budgets based on Non-Functional Requirements (NFRs).
• Develop and maintain Infrastructure as Code (IaC) using Terraform and GitHub.
• Build automation scripts using Python and PowerShell to streamline operational activities.
• Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
• Design and implement automated operational workflows and infrastructure provisioning.
• Collaborate with development, operations, and platform engineering teams to improve system performance, availability, and scalability.
• Participate in incident management, root cause analysis, and continuous service improvement initiatives.
• Follow Agile, DevOps, and Site Reliability Engineering (SRE) best practices.

• 3+ years of experience in Site Reliability Engineering (SRE), DevOps, or Cloud Engineering.
• 2+ years’ experience with Google Cloud Platform (GCP).
• 2 + years’ experience in SLI, SLO, Error Budgets, and observability practices.
• 2 + years’ experience in Python and PowerShell
• 2 + years’ experience in Infrastructure as Code (Terraform) and Git-based version control.

Nice to Have:

• Container Technologies: Kubernetes, Docker
• Experience with CI/CD and release management tools such as Jenkins, Maven, Ant, Puppet, Gradle, Ansible, TeamCity, uDeploy, and Dataproc.
• Experience with Microservices architecture.
• Knowledge of programming languages such as Java or C#.
• Understanding of CI/CD pipeline design, implementation, and optimization.
• Experience working in Agile/Scrum and DevOps delivery environments.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $91,000-$135,000. Actual compensation will depend on a number of factors, including the candidate’s 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 including medical, dental, and vision insurance with an employer contribution, 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.

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.