Google seeking a motivated Cloud Technical Solutions Engineer specializing in databases to join our dynamic team in Bangalore. The ideal candidate will have a strong background in cloud technologies, particularly in troubleshooting and supporting database solutions on platforms like Google Cloud Platform (GCP).
Minimum qualifications:
- Bachelor’s degree in Computer Science, Technology, Engineering, Mathematics, or equivalent practical experience
- 2 years of experience coding in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.
- 2 years of experience troubleshooting and advocating for customers' needs, and triaging technical issues (e.g., hardware, software, application, operational, process).
- Experience with SQL database administration, Google App Engine, open source software communities, Cloud networking solutions, or distributed computing.
- Experience with cloud based storage, developer tools, core data structures, and related concepts.
Preferred qualifications:
- Experience in technical consulting on database design and architecture supporting large enterprise customers with high Service-level Objective (SLO) and Service-level Agreement (SLA) requirements.
- Experience as a system/network administrator working with Linux/Unix or Windows systems, from Kernel to Shell, file systems, and client-server protocols.
- Experience working with distributed applications or micro-services in a cloud-based environment (e.g., Docker, Kubernetes).
- Experience working in a dynamic organization with extensive cross-collaboration across functions.
- Excellent troubleshooting, attention to detail, and verbal/written communication skills.
Responsibilities
- Work with customers on their production databases to resolve issues and achieve product readiness, availability, and scale.
- Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
- Develop an understanding of Google Cloud's Native Databases (e.g., Cloud Spanner, Cloud Bigtable), Managed SQL technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.