About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor’s degree or equivalent practical experience.

* 5 years of experience in creating and managing managed databases on Google

Cloud Platform (GCP) like Cloud SQL, AlloyDB, Cloud Spanner, and Cloud

Bigtable.

* 5 years of experience in developing ETL software solutions using C, C++,

software frameworks, and Python.

* 5 years of experience developing automation using Terraform.

* 5 years of experience in developing analytical reports and dashboards.

PREFERRED QUALIFICATIONS:

* Master's degree or PhD in Computer Science or a related technical field.

* 5 years of experience architecting and developing robust database solutions

tailored for the component suppliers and subassembly houses.

* 3 years of experience leveraging AI/ML methods, specifically utilizing

Gemini, to drive technical excellence and improve system productivity.

* 3 years of experience using Docker containers.

* 3 years of experience with semiconductor software systems.

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change

how billions of users connect, explore, and interact with information and one

another. Our products need to handle information at massive scale, and extend

well beyond web search. We're looking for engineers who bring fresh ideas from

all areas, including information retrieval, distributed computing, large-scale

system design, networking and data storage, security, artificial intelligence,

natural language processing, UI design and mobile; the list goes on and is

growing every day. As a software engineer, you will work on a specific project

critical to Google’s needs with opportunities to switch teams and projects as

you and our fast-paced business grow and evolve. We need our engineers to be

versatile, display leadership qualities and be enthusiastic to take on new

problems across the full-stack as we continue to push technology forward.

In this role, you will

own the strategy, scoping, and technical outcomes of
database solutions in GCP. Be involved in the end-to-end lifecycle - from
initial requirement gathering and architectural design to development, testing,
and long-term maintenance of database solutions for hardware products. Lead,
manage and architect streamlined structures across various database systems on
Google’s GCP environment.
Navigate challenges, make open-ended problems tractable while influencing
designs and technical excellence. Integrating AI/ML methods to solve problems
and improve productivity, such as utilizing AI for live data analytics and
employing Terraform to automate critical infrastructure.
Familiarity with component suppliers, subassembly houses and OEM/ODMs to build
data pipelines back to Google and then restructuring and organizing the data and
making it readily available is highly advantageous for driving meaningful
impact.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Collaborate with manufacturing partners and Engineering teams in structuring
the data content and data pipelines.
* Architecting, designing, developing, testing and maintaining database
software applications on GCP.
* Architect and Create managed Databases on GCP. Design and Develop software
applications for ETL pipeline.
* Follow the software development standards and implement best practices in
documenting user requirements, design, coding and testing of database
solution.
* Partner with cross-functional teams, leadership, engineers, program managers,
and data scientists to understand business and application needs.

Which skills does this role require?

Google Cloud PlatformCloud SQLAlloyDBCloud SpannerCloud BigtableETLCC++PythonTerraformData AnalyticsDatabase ArchitectureDatabase ManagementData PipelinesInfrastructure AutomationSoftware EngineeringHardware ProductsManufacturingOEMODMSQLGCPMachine Learning

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