Site Reliability Engineering (SRE) & DevOps

NTT DATA Services•Raleigh, NC

2d•$91,000 - $135,000•Onsite

About The Position

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.

Requirements

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 Haves

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.

Responsibilities

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.