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.
Debug is a team of scientists and engineers dedicated to developing solutions for mosquito-borne disease control.
In this role, you will be developing technology to raise and release sterile mosquitoes. You will prepare to scale up the mosquito production and release capabilities.
Responsibilities
- Build new full-stack software to orchestrate custom debug automated and manual workflows used in the programs.
- Develop automation to assist in managing the growing fleet of on-premises Linux and other Operating System servers and Google Cloud Platform (GCP) workloads.
- Build data pipelines and analytics dashboards to improve the understanding of mosquito production, release, and wild mosquito populations.
- Drive the adoption of Developer Operations (DevOps) best practices to streamline the development and deployment processes.
- Work with end users (e.g., Debug team members and partners) to develop requirements and iterate on feedback.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with full-stack development, including back end, such as Java, Python, GO, or C++ codebases, and front end, such as JavaScript, TypeScript, HTML, or CSS.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience with data structures and algorithms in an academic or industry setting.
- Experience with cloud platform software development, and with Machine Learning or computer vision.
- Experience in Computer Networking (e.g., Transmission Control Protocol/Internet Protocol (TCP/IP), Routing, Load balancing, etc).
- Experience with hacking hardware (e.g., Arduino, Raspberry Pi, etc.), and with other technologies (e.g., AS3, OpenCV, Android, Obj-C, etc).
- Knowledge of System/network administrator for Linux/Unix or other operating systems.