Site Reliability Engineer

seeking an experienced Senior Site Reliability Engineer (SRE) for a confidential client engagement focused on cloud infrastructure, automation, and platform reliability.

This is a hands-on engineering role for someone with deep Google Cloud Platform (Google Cloud Platform) expertise, strong Python development skills, and extensive experience building scalable infrastructure automation.

The ideal candidate combines traditional SRE and DevOps expertise with an interest in using AI-driven automation to improve infrastructure reliability, operational efficiency, and incident response., * Design, develop, and maintain Python-based automation frameworks for cloud infrastructure and operational processes.

• Build and manage Infrastructure as Code (IaC) solutions using Terraform and Terragrunt.
• Develop and improve CI/CD pipelines, automated deployments, and infrastructure provisioning workflows.
• Design, deploy, and support scalable cloud infrastructure within Google Cloud Platform (Google Cloud Platform).
• Integrate automation with Git, Jira, and existing engineering tools.
• Improve system reliability through automated monitoring, alerting, incident response, and remediation.
• Explore and implement AI/ML capabilities to support infrastructure automation, predictive monitoring, and operational improvements.
• Develop secure, repeatable automation workflows with appropriate controls, validation, and auditability.
• Troubleshoot complex infrastructure issues and implement long-term reliability improvements.
• Collaborate with engineering teams to establish cloud automation, DevOps, and SRE best practices.

• Strong professional experience in Site Reliability Engineering, Cloud Engineering, DevOps, or Infrastructure Automation.
• Advanced Python programming skills, particularly developing automation tools, scripts, and infrastructure management solutions.
• Extensive hands-on Google Cloud Platform (Google Cloud Platform) experience.
• Strong experience with Terraform and Terragrunt for infrastructure provisioning and management.
• Solid understanding of Git, CI/CD pipelines, and automated deployment practices.
• Experience working with cloud monitoring, observability, incident management, and operational reliability.
• Familiarity with configuration management formats such as YAML, HCL, and INI.
• Strong troubleshooting, problem-solving, and technical communication skills.
• Ability to work independently while collaborating with other engineering teams., * Experience with Vertex AI, Google Cloud Platform AI services, or ML-driven infrastructure automation.
• Experience designing self-healing infrastructure or automated incident remediation.
• Familiarity with AI agents, orchestration frameworks, or AI-assisted operational workflows.
• Experience implementing security controls and governance within infrastructure automation.
• Google Cloud certifications.
• Previous experience supporting complex, enterprise-scale cloud environments.

• Work on sophisticated cloud infrastructure and automation initiatives.
• Apply advanced Python engineering skills to real-world platform reliability challenges.
• Help introduce AI-driven automation into modern SRE operations.
• Influence technical architecture, automation standards, and engineering practices.
• Collaborate with experienced technical professionals on complex infrastructure projects.