Minimum Qualifications

Bachelor's degree in Computer Science, Management Information Systems, or a related technical field, or equivalent practical experience.
8 years of experience in business application development or implementation.
Experience in implementing, customizing, or integrating third-party applications within business enterprise software.

Preferred Qualifications

Experience with programming languages Java and web services technology (e.g., REST, SOAP, etc.).
Experience in Google Cloud Platform (GCP) or other public cloud platforms.
Experience in multiple full system implementation life cycles (e.g., analyze, design, build, test, implement, support).
Experience in Python programming language, with knowledge of object-oriented principles.
Knowledge of systems related to Supply Chain and Enterprise Resource Planning (ERP).

About the Job

At Google, we work at lightning speed. So when things get in the way of progress, the Business Systems Integration team steps in to remove those roadblocks.
The team identifies time-consuming internal processes and then builds solutions that are reliable and scalable enough to work within the size and scope of the company.
You listen to and translate Googler needs into high-level technical specifications, design, and develop recommended systems, and consult with Google executives to ensure smooth implementation.
Whether battling large system processes or leveraging our homegrown suite of Google products for Googlers themselves, you help Googlers work faster and more efficiently.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud.
Our end users are Googlers, Cloud customers, and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do—from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing.
Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

Partner with internal teams to define and implement solutions that improve internal business processes.
Identify, assess, estimate, and solve business issues, where analysis of situations/scenarios or data requires an evaluation of variable factors, including security.
Develop, build, and deploy applications using various platforms and technologies. Work with analysts to translate business requirements into technical solutions.
Maintain the development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing modular, and self-sustaining code.

Senior Application Engineer