Senior Site Reliability Engineer Automation & Google Cloud Platform

We are seeking a highly experienced Senior Site Reliability Engineer (SRE) - Automation & Google Cloud Platform to lead the design, implementation, and modernization of enterprise cloud infrastructure. The ideal candidate will have strong hands-on expertise in Python automation, Terraform, Terragrunt, Google Cloud Platform (Google Cloud Platform), and CI/CD pipeline engineering, along with experience integrating AI/ML capabilities into SRE operations., * Automation Framework Development: Design, develop, and maintain scalable Python-based automation frameworks, CLI tools, and operational scripts to manage complex cloud infrastructure.

• Infrastructure as Code (IaC): Build and maintain enterprise-grade infrastructure using Terraform and Terragrunt, ensuring consistency, reusability, compliance, and repeatability across multiple environments.
• SRE Workflow Integration: Integrate automation workflows with JIRA, Git, and CI/CD pipelines to enable controlled, auditable, and reliable infrastructure operations.
• Google Cloud Platform Architecture and Engineering: Design, deploy, and manage scalable cloud-native solutions on Google Cloud Platform (Google Cloud Platform), following reliability, security, and operational best practices.
• AI/ML-Driven Automation: Implement Google Cloud Platform AI/ML capabilities, including Vertex AI and ML pipelines where applicable, to enhance monitoring, alerting, predictive analytics, and operational efficiency.
• Self-Healing Infrastructure: Develop automated remediation workflows, dynamic scaling strategies, and proactive incident response mechanisms to improve system resilience and reduce manual intervention.
• Configuration Management: Parse, validate, standardize, and manage configuration data across formats such as YAML, INI, and HCL within automated workflows.
• Guardrail-Driven Automation: Design deterministic automation procedures with appropriate validation, access controls, safety checks, and execution guardrails to support AI agents and orchestration engines.
• Reliability Engineering: Improve system availability, scalability, observability, incident response, and operational performance through SRE principles and engineering best practices.
• Technical Leadership: Provide architectural guidance, mentor engineering teams, and advise stakeholders on Google Cloud Platform, automation strategy, cloud reliability, and AI-enabled DevOps modernization.

• Expert-level Python programming skills, including experience developing CLI tools, operational scripts, and infrastructure automation frameworks.
• Extensive hands-on experience with Terraform and Terragrunt for enterprise-scale Infrastructure as Code implementations.
• Strong expertise in Google Cloud Platform (Google Cloud Platform), including cloud architecture, infrastructure deployment, monitoring, and operations.
• Deep understanding of Git version control, branching strategies, code reviews, and collaborative development practices.
• Proven experience designing, implementing, and maintaining CI/CD pipelines and automated deployment workflows.
• Hands-on experience with AI/ML-driven automation, Vertex AI, ML pipelines, predictive analytics, or intelligent operational tooling.
• Strong experience working with configuration formats such as YAML, INI, and HCL, including parsing, validation, and standardization.
• Ability to design deterministic, auditable automation workflows with well-defined guardrails for AI agents and orchestration platforms.
• Strong understanding of Site Reliability Engineering principles, including observability, incident management, service resilience, automation, and system scalability.
• Excellent problem-solving, communication, technical leadership, and stakeholder management skills.
• Ability to translate complex technical requirements into scalable engineering solutions aligned with business objectives., * Google Cloud certifications in cloud architecture, engineering, or related disciplines.
• Experience implementing self-healing infrastructure and automated incident remediation.
• Experience integrating AI capabilities into DevOps, cloud operations, and SRE workflows.
• Experience working in enterprise-scale cloud environments with complex infrastructure and compliance requirements.