Sr. Site Reliability Engineer (GCP/Automation)-W2 Only

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• Strong hands-on experience developing automation tools and scripts using Python. \n

• Extensive experience working with Google Cloud Platform (GCP). \n

• Proven expertise with Terraform and Terragrunt. \n

• Solid understanding of Site Reliability Engineering, DevOps, and cloud infrastructure management. \n

• Experience with Git, CI/CD pipelines, and automated deployments. \n

• Ability to develop reliable, repeatable automation processes with appropriate safeguards. \n

• Experience managing infrastructure configurations using YAML, HCL, or similar formats. \n

• Strong troubleshooting, problem-solving, and system optimization skills. \n

• Ability to work independently, influence technical decisions, and collaborate across engineering teams. \n

This position combines hands-on engineering with technical leadership, focusing on reducing manual processes, improving infrastructure performance, and building smarter ways to manage cloud environments.

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The ideal candidate has a strong background in Google Cloud Platform (GCP), Python development, and Infrastructure as Code, along with an interest in applying AI technologies to cloud operations.

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What You’ll Do

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• Build Python-based tools and automation solutions to simplify infrastructure management and day-to-day operations. \n

• Develop and maintain cloud environments using Terraform and Terragrunt. \n

• Improve deployment processes and automate workflows across Git, CI/CD pipelines, and JIRA. \n

• Support the design and ongoing improvement of GCP infrastructure, with an emphasis on reliability, security, and scalability. \n

• Identify opportunities to automate system monitoring, troubleshooting, and incident resolution. \n

• Explore and implement AI/ML capabilities to improve operational efficiency and reduce manual intervention. \n

• Create automated processes that can detect issues, initiate corrective actions, and improve system recovery. \n

• Work with infrastructure configuration files, including YAML, INI, and HCL. \n

• Establish standards for automation, change management, and infrastructure reliability. \n

• Partner with technical teams to evaluate existing systems, solve complex challenges, and recommend improvements. \n

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• Google Cloud certifications. \n

• Experience with Vertex AI or other AI/ML services. \n

• Exposure to predictive monitoring, automated incident response, or self-healing infrastructure. \n

• Experience integrating AI agents or orchestration tools into operational workflows. \n

• Previous experience leading cloud modernization or infrastructure automation initiatives. \n

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