Software Engineer, Performance, Reliability, Observability, PhD, Early Careers
at Alphabet
Posted 13 hours ago
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- Compensation
- Not specified
- City
- Warsaw
- Country
- Poland
Currency: Not specified
Google Cloud's Performance, Reliability, and Observability team is seeking an early-career Software Engineer (PhD) to build unified debugging, profiling, and analytics tooling at scale. You will write product and system code for dashboards and traces, explore cross-component analysis, and may apply machine learning to automate anomaly detection in Google Cloud control plane systems. Responsibilities include participating in design reviews, developing automation tooling, and collaborating with Google Cloud teams and customers (e.g., Compute Engine) to understand requirements and debug issues. This role targets graduates or early-career engineers with strong fundamentals in distributed systems, data structures/algorithms, and scalable software.
Software Engineer, Performance, Reliability, Observability, PhD, Early Careers
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Minimum qualifications:
- PhD in Computer Science or related technical fields, or equivalent practical experience.
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience with software development with the use of SQL and advanced algorithms.
- 2 years of experience with developing large-scale infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture.
Preferred qualifications:
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
- Experience with one or more of the following: data analysis, big data, f1-sql, log analysis, machine learning.
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 Google Cloud Performance, Reliability, and Observability team develop unified debugging, profiling, and analytics tools for our customers, ranging from dashboards to debug individual request handling traces, to in-depth cross-component analysis of system behaviour. We explore options of using machine learning to automate anomaly detection in Google Cloud control plane systems.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Contribute to further development of automations and tooling.
- Collaborate on performance and reliability issues involving massive amounts of data and information.
- Work with our customers (e.g., Google Compute Engine and other Google Cloud teams) to understand requirements, debug problems, and anticipate needs.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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