Cloud Platform Architect - SaaS APIs & Scalable Systems

Google; Warszawa; On-site; PLN 640,000 - 655,000; Full time

Benefits offered by this job

Bonus target 25%

Equity

Benefits

Job summary

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

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.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in C++, Java, GO.
• 5 years of experience in designing scalable distributed systems, and designing APIs.
• Experience in building available systems and designing for resilience.

Responsibilities

• Own the technical direction of a large part of EasySaaS driving architecture, the external APIs etc.
• Ensure proper scalability (many of SaaS service producers are deploying millions of instances of their service) and reliability.
• Provide technical oversight over the delivery of projects and their quality.
• Work with key stakeholders and key customers both internally and externally (in cooperation with the product) to translate their needs and constraints into technical designs and technical roadmaps.
• Perform experiments, trying out various design, open source technologies in order to verify design assumptions, or test various solutions with customers.

Skills

C++

Java

Go

Distributed systems

API design

Resilience

Education

Bachelor's degree or equivalent practical experience

Job description

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

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.