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.
Join Google Kubernetes Engine (GKE) team and shape the forefront of cloud-native infrastructure! Our mission is to provide the most reliable, scalable, and seamlessly managed Kubernetes platform to empower large scale workload worldwide. If you are passionate about Kubernetes and grow on solving the challenges of various workload types at a massive scale, this is an opportunity to make a significant impact on the global cloud computing landscape.
Our team is focused on providing the agent scaffolding and Continuous Integration (CI)/Continuous Delivery (CD) platforms that enable GKE to serve new features to our customer base fast, securely, and with quality. As well as empowering our greater organization with tooling and autonomous platforms that burn down toil and empower all.
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.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience programming in Golang or Python.
- 2 years of experience building and developing infrastructure or distributed systems.
- 2 years of experience automating infrastructure provisioning, developer operations, continuous integration, or delivery.
- Experience building or interacting with Generative AI or Applied AI applications.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 2 years of experience in building or managing distributed systems or cloud infrastructure, focusing on Kubernetes.
- Passionate for AI coding tools and Agentic experiences.