Job description

As a Site Reliability Engineer, you will drive strategic direction, technical design, and execution for complex database ecosystems supporting semiconductor manufacturing. You will oversee the complete solution lifecycle, encompassing requirements definition, system architecture, development, testing, maintenance, and scalable expansion. In this role, you will lead and design optimized data structures across a wide variety of platforms, including Oracle, SQL Server, MySQL, AlloyDB, Cloud SQL, Cloud Spanner, and Vertica. You will solve ambiguous, open-ended technical challenges and establish architectural standards that extend beyond your immediate scope. You will be responsible for applying AI/ML solutions to enhance operational productivity and analytical capabilities such as real-time data analytics and using Terraform for infrastructure automation. Because of specialized facility requirements and the need for close in-person collaboration with engineering partners, this role requires working on-site at least five days per week at the Fremont facility. Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google . • Architect, design, build, test, and maintain robust database applications tailored for semiconductor manufacturing. • Manage database administration across on-premises systems (Oracle, SQL Server, MySQL, Vertica, PostgreSQL) and Google Cloud Platform (GCP) environments (AlloyDB, Cloud Spanner). • Adhere to software engineering standards and best practices for requirement documentation, system design, implementation, and testing. • Collaborate with cross-functional leadership, engineers, program managers, and data scientists to identify and address business and technical requirements. • Manage and deliver on multiple concurrent projects with minimal direction. • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. • 5 years of experience with programming in SQL, PL/SQL or T-SQL. • 4 years of experience in database administration and relational database development on GCP (technology such Cloud SQL, SQL Server, AlloyDB, Spanner, Oracle, etc.) • 3 years of experience designing and implementing analytical reports and dashboards. • 2 years of experience building automation scripts using Python or Terraform. Minimum qualifications: • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. • 5 years of experience with programming in SQL, PL/SQL or T-SQL. • 4 years of experience in database administration and relational database development on GCP (technology such Cloud SQL, SQL Server, AlloyDB, Spanner, Oracle, etc.) • 3 years of experience designing and implementing analytical reports and dashboards. • 2 years of experience building automation scripts using Python or Terraform. Preferred qualifications: • Experience designing and implementing high-performing database systems specific to semiconductor manufacturing. • Practical experience applying AI/ML technologies, particularly Gemini to boost organizational productivity and advance technical excellence. • Domain knowledge of key semiconductor operations, such as Manufacturing Execution Systems (MES), Statistical Process Control (SPC), SAP, MRP planning, capacity modeling, demand forecasting, and logistics.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Architect, design, build, test, and maintain robust database applications tailored for semiconductor manufacturing.
Manage database administration across on-premises systems (Oracle, SQL Server, MySQL, Vertica, PostgreSQL) and Google Cloud Platform (GCP) environments (AlloyDB, Cloud Spanner).
Adhere to software engineering standards and best practices for requirement documentation, system design, implementation, and testing.
Collaborate with cross-functional leadership, engineers, program managers, and data scientists to identify and address business and technical requirements.
Manage and deliver on multiple concurrent projects with minimal direction.
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
5 years of experience with programming in SQL, PL/SQL or T-SQL.
4 years of experience in database administration and relational database development on GCP (technology such Cloud SQL, SQL Server, AlloyDB, Spanner, Oracle, etc.)
3 years of experience designing and implementing analytical reports and dashboards.
2 years of experience building automation scripts using Python or Terraform.
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
5 years of experience with programming in SQL, PL/SQL or T-SQL.
4 years of experience in database administration and relational database development on GCP (technology such Cloud SQL, SQL Server, AlloyDB, Spanner, Oracle, etc.)
3 years of experience designing and implementing analytical reports and dashboards.
2 years of experience building automation scripts using Python or Terraform.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Experience designing and implementing high-performing database systems specific to semiconductor manufacturing.
Practical experience applying AI/ML technologies, particularly Gemini to boost organizational productivity and advance technical excellence.
Domain knowledge of key semiconductor operations, such as Manufacturing Execution Systems (MES), Statistical Process Control (SPC), SAP, MRP planning, capacity modeling, demand forecasting, and logistics.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlaimlgcppython

Platform: google
Effort: medium