Software Engineer, Data Foundations

eers 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 join a team that is part of the Detection and Response Platform. You will help with building logs collection, parsing and storage systems that provide both high quality data and modern monitoring capabilities while reducing latency from event to analysis. You will deliver the tools used by Security Engineering teams to detect, investigate, and respond to threats in Alphabet's environments fast, reliably, and efficiently.

The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Create and manage massively scalable data ingestion systems.

• Partake in designing and implementing long-term data storage and retrieval solutions. Document data structures, data flows and data infrastructure.

• Support users by reviewing code submissions and operating and maintaining the software. Make sure data pipelines are monitored and alerted to ensure they are functioning properly.

• Create dashboards and implement analytical tools for exploring data. Identify and implement data exploration technologies.

• Develop your skills by keeping up with the latest technology trends, coding standards, libraries, and frameworks.