Software Engineer, Distributed Systems, Cluster Management, Autopilot
⚲ Kraków, Stare Miasto
30 333–31 167 zł brutto / mies.
Wymagania
- C++
Opis stanowiska
Nasze wymagania:
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
5 years of experience in software development using general-purpose programming languages, with a focus on C++.
Experience with data structures and algorithm design.
Experience designing, building, and maintaining large-scale distributed computing systems.
Mile widziane:
Master's degree or PhD in Computer Science, Computer Engineering, or a related technical field.
Experience applying artificial intelligence to create a software.
Demonstrated experience taking end-to-end ownership of complex technical projects and successfully launching impactful features in production environments.
Familiarity with data analysis and querying languages, such as SQL, to make data-driven decisions regarding fleet performance.
Familiarity with Google-internal development tools and build systems like Blaze.
Deep understanding of operating systems internals, resource management (CPU, memory), and system performance optimization.
O projekcie:
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. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
Zakres obowiązków:
Design, develop, and maintain clean, reliable code to enhance the Autopilot system, leveraging AI to optimize how memory and compute resources are allocated across applications.
Lead the end-to-end life-cycle of new features, from initial planning and design to launch, ensuring they operate safely and effectively in production environments.
Address large-scale engineering challenges by identifying ways to increase system efficiency, enabling infrastructure to manage millions of tasks concurrently without performance degradation.
Maintain system reliability by investigating software issues, debugging code, and actively monitoring operations to ensure Autopilot runs smoothly for all dependent applications.
Collaborate closely with teammates and partner engineering groups to understand requirements, conduct code reviews, and share innovative ideas for building better infrastructure tools.
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
5 years of experience in software development using general-purpose programming languages, with a focus on C++.
Experience with data structures and algorithm design.
Experience designing, building, and maintaining large-scale distributed computing systems.
Mile widziane:
Master's degree or PhD in Computer Science, Computer Engineering, or a related technical field.
Experience applying artificial intelligence to create a software.
Demonstrated experience taking end-to-end ownership of complex technical projects and successfully launching impactful features in production environments.
Familiarity with data analysis and querying languages, such as SQL, to make data-driven decisions regarding fleet performance.
Familiarity with Google-internal development tools and build systems like Blaze.
Deep understanding of operating systems internals, resource management (CPU, memory), and system performance optimization.
O projekcie:
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. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
Zakres obowiązków:
Design, develop, and maintain clean, reliable code to enhance the Autopilot system, leveraging AI to optimize how memory and compute resources are allocated across applications.
Lead the end-to-end life-cycle of new features, from initial planning and design to launch, ensuring they operate safely and effectively in production environments.
Address large-scale engineering challenges by identifying ways to increase system efficiency, enabling infrastructure to manage millions of tasks concurrently without performance degradation.
Maintain system reliability by investigating software issues, debugging code, and actively monitoring operations to ensure Autopilot runs smoothly for all dependent applications.
Collaborate closely with teammates and partner engineering groups to understand requirements, conduct code reviews, and share innovative ideas for building better infrastructure tools.
🔍 Dekoder Ogłoszenia
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equivalent practical experience
Może oznaczać, że formalne wykształcenie nie jest kluczowe, ale oczekuje się bardzo wysokiego poziomu umiejętności i doświadczenia.
🟡
focus on C++
Choć wymieniono C++, może to sugerować, że w praktyce używane są również inne języki, a C++ jest tylko jednym z głównych.
🟡
Experience applying artificial intelligence to create a software
Może oznaczać zarówno wykorzystanie gotowych narzędzi AI, jak i głębokie zaangażowanie w rozwój algorytmów AI.
🔴
Demonstrated experience taking end-to-end ownership of complex technical projects and successfully launching impactful features in production environments
Oczekuje się pełnej odpowiedzialności za projekt od początku do końca, włączając w to rozwiązywanie problemów i zarządzanie ryzykiem.
🔴
Familiarity with Google-internal development tools and build systems like Blaze
Oznacza, że będziesz musiał szybko nauczyć się specyficznych narzędzi Google, które nie są powszechnie dostępne.