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In most instances, this position requires in-person interviews as part of the hiring process. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Poland: zł280000 - zł287000 (PLN) + 15% bonus target + equity + benefits Responsibilities Learn more about benefits at Google . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.