## Job Description About Advance Auto Parts Founded in Roanoke, VA in 1932, Advance Auto Parts is a leading automotive aftermarket retail parts provider that serves both professional installer and do-it-yourself Customers. As of July 13, 2019, Advance operated 4,912 stores and 150 Worldpac branches in the United States, Canada, Puerto Rico, and the U.S. Virgin Islands. The Company also serves 1,250 independently owned CARQUEST branded stores across these locations in addition to Mexico, the Bahamas, Turks, and Caicos and the British Virgin Islands. The company has a workforce of over 70,000 knowledgeable and experienced Team Members who are proud to provide outstanding service to their Customers, Communities, and each other every day. About Advance India Innovation Center (AIIC): We are continually innovating and seeking to elevate the Customer experience at each of our stores. For an organization of our size and reach, today, it has become more critical than ever, to identify synergies and build shared capabilities. The Advance India Innovation Center (AIIC), located in Hyderabad, is a step in this strategic direction that enables us to access a larger talent pool, unlock operational efficiencies and increase levels of collaboration. We are seeking a Software Developer – Cloud Platform Engineering to build and operate enterprise-scale K8 Operators platforms on Google Cloud Platform (GCP). This role is focused on developing cloud-native platform capabilities, Kubernetes Operators, automation frameworks, self-service provisioning, and deployment services that enable engineering teams to securely consume database services at scale. The ideal candidate will have strong software engineering skills combined with hands-on experience in Google Cloud Platform, Kubernetes, Platform Engineering, Infrastructure Automation, Database Platforms, CI/CD, Ansible, and Linux systems engineering. Key Responsibilities Platform Engineering & GCP - Design, develop, and operate cloud-native platform services on Google Cloud Platform (GCP). - Build and enhance Database-as-a-Service (DBaaS) capabilities on Operator for enterprise development teams. - Develop self-service provisioning and lifecycle management solutions for database platforms. - Drive platform standardization, automation, security, and operational excellence. - Optimize cloud infrastructure utilization, performance, resilience, and cost efficiency (FinOps). - Kubernetes & Operator Development - Design, develop, and maintain Kubernetes Operators for automated database lifecycle management. - Automate provisioning, scaling, upgrades, backup/recovery, failover, and patch management. - Manage stateful workloads and distributed database clusters on Kubernetes (GKE). - Implement GitOps and Infrastructure-as-Code practices for repeatable deployments. - Develop reusable platform controllers, operators, and automation frameworks. - Automation & Software Development - Develop platform services, APIs, automation tooling, and deployment frameworks using: - Java - Python - Golang (Preferred) - Shell/Bash - Build and maintain Ansible playbooks, roles, and automation workflows. - Create and maintain RPM packages for database and platform deployments. - Develop deployment tooling and operational automation for GCP environments. - Build reusable frameworks for infrastructure provisioning and platform lifecycle management. Database Platform Services - Build and support cloud database platforms including: - MongoDB - Redis - Cassandra - Vector DB - Graph DB - Caching DB - Implement replication, clustering, sharding, backup, recovery, and high-availability solutions. - Perform database upgrades, migrations, patching, and modernization initiatives. - Improve reliability, scalability, and operational efficiency through platform automation. CI/CD & DevOps - Design and maintain CI/CD pipelines using Jenkins, Git, Gradle, and automated deployment frameworks. - Automate infrastructure provisioning, application deployment, validation, and compliance processes. - Implement DevOps and DevSecOps best practices. - Enable continuous delivery and infrastructure automation across platform services. Reliability, Security & Observability - Implement monitoring, alerting, and observability solutions using Grafana, Prometheus, ELK, and Google Cloud Monitoring. - Drive platform reliability, incident management, root cause analysis, and operational improvements. - Implement security hardening, vulnerability remediation, backup, and disaster recovery strategies. - Ensure compliance with enterprise security and governance standards. Preferred Qualifications - 7–10 years of experience in Platform Engineering, Cloud Engineering, or Software Development. - Hands-on experience building Kubernetes Operators and DBaaS platforms. - Experience developing RPM packages and deployment automation frameworks on GCP. - Strong expertise in Ansible-based provisioning and infrastructure automation. - Experience with cloud cost optimization (FinOps), security, and compliance frameworks. - Experience supporting large-scale enterprise platforms on Kubernetes and GCP. 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