Sr. DevOps Engineer - GCP

Insight Global; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Insight Global is seeking a Senior DevOps Engineer with strong Google Cloud Platform (GCP) expertise to design, implement, automate, and support scalable cloud infrastructure across IaaS and PaaS. The role collaborates with developers, architects, and project teams to improve reliability, performance, and automation, while mentoring junior members and supporting AI/ML workloads.

Responsibilities include provisioning GCP infrastructure, building CI/CD pipelines, and advancing automation with

Qualifications

• 5+ years of hands-on public cloud infrastructure experience with strong GCP implementation.
• Extensive Terraform and Infrastructure as Code experience.
• 5+ years Kubernetes/containerization experience, preferably GKE.
• Experience building CI/CD pipelines with Git, YAML, and Cloud Build.
• Proficient in Linux (RHEL/Debian/SUSE) and Windows Server administration.
• Bachelor's degree in CS, Software Engineering, Information Systems, related field, or equivalent.
• Google Cloud certification in Cloud Engineering, DevOps, or Cloud Architecture.
• Experience supporting AI/ML workloads within GCP.

Responsibilities

• Design, implement, and support enterprise GCP infrastructure across IaaS and PaaS environments.
• Build and manage GCP infrastructure using Terraform and Infrastructure as Code.
• Provision and support GKE, Compute Engine, Cloud Storage, VPC, Load Balancing, IAM, Cloud Monitoring, and Cloud Logging.
• Support Kubernetes-based microservices, container deployments, networking, service accounts, permissions, and cloud security configurations.
• Build and automate CI/CD pipelines using Git, YAML, Cloud Build, scripting, and other enterprise deployment tools.
• Develop scripts and automation using Python, Bash, PowerShell, and Terraform/HCL.
• Troubleshoot complex cloud, application, networking, integration, performance, and deployment issues.
• Improve cloud reliability, observability, scalability, performance, and operational processes.
• Support application development teams with releases, integrations, deployments, and production issues.
• Develop proof-of-concept architectures for cloud infrastructure, applications, and automation initiatives.
• Support integrations with platforms such as ServiceNow, enterprise identity systems, APIs, and secrets-management solutions.
• Provide Level 3 support and work with Google Cloud and other vendors to resolve complex issues.
• Mentor junior engineers, conduct peer reviews, and serve as a technical escalation point.
• Support AI/ML workloads and emerging technologies within GCP environments.
• Participate in rotational on-call and occasional weekend or after-hours maintenance.

Skills

Cloud architecture

GCP expertise

IaC

CI/CD

Linux admin

Windows Server admin

SRE/ITIL practices

AI/ML workloads

Troubleshooting

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field

Tools

Terraform

Kubernetes (GKE)

Cloud Build

Git

YAML

Python

Bash

PowerShell

Terraform/HCL

Job description

Job Description

We are seeking a Senior DevOps Engineer with strong Google Cloud Platform (GCP) experience to design, implement, automate, and support scalable cloud infrastructure. This role will work across public and private cloud environments, with a primary focus on GCP.

The engineer will partner with Developers, Architects, Project Managers, Business Analysts, and business leaders to improve cloud infrastructure, deployment processes, reliability, performance, and automation. The role will also mentor junior team members, serve as an escalation point for complex technical issues, and support emerging AI/ML workloads within GCP.

Key Responsibilities

• Design, implement, and support enterprise GCP infrastructure across IaaS and PaaS environments.
• Build and manage GCP infrastructure using Terraform and Infrastructure as Code.
• Provision and support GKE, Compute Engine, Cloud Storage, VPC, Load Balancing, Cloud DNS, IAM, Cloud Monitoring, and Cloud Logging.
• Support Kubernetes-based microservices, container deployments, networking, service accounts, permissions, and cloud security configurations.
• Build and automate CI/CD pipelines using Git, YAML, Cloud Build, scripting, and other enterprise deployment tools.
• Develop scripts and automation using Python, Bash, PowerShell, and Terraform/HCL.
• Troubleshoot complex cloud, application, networking, integration, performance, and deployment issues.
• Improve cloud reliability, observability, scalability, performance, and operational processes.
• Support application development teams with releases, integrations, deployments, and production issues.
• Develop proof-of-concept architectures for cloud infrastructure, applications, and automation initiatives.
• Support integrations with platforms such as ServiceNow, enterprise identity systems, APIs, and secrets-management solutions.
• Provide Level 3 support and work with Google Cloud and other vendors to resolve complex issues.
• Mentor junior engineers, conduct peer reviews, and serve as a technical escalation point.
• Support AI/ML workloads and emerging technologies within GCP environments.
• Participate in rotational on-call and occasional weekend or after-hours maintenance.

Skills and Requirements

• 5+ years of hands-on public cloud infrastructure experience, with strong GCP implementation and support experience.
• 5+ years of Terraform and Infrastructure as Code experience.
• 5+ years of Kubernetes/containerization experience, preferably GKE.
• 5+ years working with automation, Git, YAML, and CI/CD pipelines.
• Strong hands-on experience with GCP compute, networking, storage, IAM, Kubernetes, monitoring, and logging.
• Strong understanding of microservices and distributed cloud environments.
• Strong troubleshooting, performance tuning, and infrastructure optimization experience.
• Experience with Linux administration, including RHEL, Debian, or SUSE.
• Experience with Windows Server administration.
• Knowledge of networking, directory services, IAM, SSO, MFA, service accounts, roles, and cloud access controls.
• Experience with Agile, SRE, and ITIL practices.
• Bachelor's degree in Computer Science, Software
• Engineering, Information Systems, related field, or equivalent experience.
• Google Cloud certification in Cloud Engineering, DevOps, or Cloud Architecture.
• Experience supporting AI/ML workloads within GCP.
• SQL or structured data-platform experience.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].