Software Engineer II, Data Engineering Console, Infrastructure

4 Months ago • 1 Years +
Backend Development
Full Stack Development

Job Description

The Software Engineer II role at Google focuses on the Data Engineering Console (DEC), integrating with exa-scale data engineering solutions. Responsibilities include creating solutions to support DEC's growth, improving system efficiency for millions of data entities, building low-latency processing solutions, modifying data asset support across multiple surfaces (UI, code, AI agents), and supporting business-critical customers. The Core team builds foundational elements for Google's products, impacting technical decisions across the company. The role involves working on highly reliable and scalable data processing for a unified operations console and future creation UI.
Good To Have:
  • Experience/knowledge in Infrastructure Systems
  • Experience/knowledge in Software Architecture
  • C++ coding experience
Must Have:
  • Bachelor's degree or equivalent experience
  • 1 year software development experience (Python, C, C++, Java, JavaScript)
  • 1 year experience with data structures/algorithms
  • 1 year experience building large-scale infrastructure/distributed systems
  • Create new DEC solutions
  • Improve system efficiency at scale
  • Build low-latency processing solutions
  • Support business-critical customers

Add these skills to join the top 1% applicants for this job

java
javascript
algorithms
data-structures
python
foundation
innovation
networking
user-interface

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 1 year of experience with data structures or algorithms.
  • 1 year of experience building and developing large-scale infrastructure or distributed systems.

Preferred qualifications:

  • Experience or knowledge in Infrastructure Systems.
  • Experience or knowledge in Software Architecture.
  • Experience coding in C++.

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.

The Data Engineering Console integrates with Google's exa-scale data engineering solutions and presents a unified operations console and (future) creation UI, requiring highly reliable and scalable data processing itself.

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 new solutions to support Data Engineering Console (DEC's) growing scope.
  • Improve system efficiency as we scale from thousands to millions of data entities.
  • Build low-latency processing solutions to serve information to our Software Engineers.
  • Change our system model to support creating and modifying data assets across multiple surfaces such as UI, code, and AI agents.
  • Support business-critical customers who rely on us to keep their business data flowing, whether for Ads, Gemini, Search or Geo.

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