Software Engineer, Terraform

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. Most of GCP's largest customers use IaC to manage their infrastructures on Google Cloud today. In this role, you will manage and produce the official IaC management surface—the Terraform Provider for Google Cloud, provide Terraform coverage for APIs produced by GCP teams, applying agentic AI to transform the traditional manual authoring, testing and reviewing process into automatic code generation, issue triage and fixing, testing and release management. Having a chance to work on the primary IaC tool that is used by the largest GCP customers, come to join the effort to build an exceptional IaC management surface and push through the agentic AI transformation of the end-to-end development cycle. 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. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits 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. 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. Minimum qualifications: Bachelor’s degree 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 developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage. Experience in Go and Infrastructure as Code. Experience with Generative AI/ML infrastructure, and agent AI harnesses. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience with general cloud technologies, or with deploying large-scale cloud infrastructure, cloud system design or API designs. Demonstrated ability to navigate ambiguity, drive technical strategy, and collaborate effectively across cross-functional engineering and product teams. Bachelor’s degree 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 developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage. Experience in Go and Infrastructure as Code. Experience with Generative AI/ML infrastructure, and agent AI harnesses.