Senior Backend Software Engineer, Developer Productivity Engineering; Tapestry

Position: Senior Backend Software Engineer, Developer Productivity Engineering (Tapestry)
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* Software Engineering

Mountain View, CA

** About Tapestry*
* Tapestry is Alphabet's moonshot for the electric grid, working at the frontier where energy's complexity meets AI's potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.

To keep pace with humanity's growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently-ensuring electricity remains reliable and affordable for everyone.

This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.

Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design-all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission

here  ()

.

** About the role*
* As a Developer Productivity & Infrastructure Engineer, you won't just be keeping the lights on; you will be the force multiplier for our entire engineering org. Your mission is to build the 'Golden Path'-a seamless, automated, and secure platform that allows our AI and Power Systems experts to deploy code at scale with zero friction, turning infrastructure into a competitive advantage rather than a bottleneck.

** How you'll make 10x impact:*
* + Design and treat "Infrastructure as a Product," creating internal platforms and CLI tools that allow feature teams to deploy services, manage secrets, and scale resources without deep infrastructure knowledge.

+ Proactively identify bottlenecks in the inner-loop development cycle (local environment setup, build times, test execution) to ensure engineers can go from "code complete" to "production" in minutes, not days.

+ Establish standardized templates and best practices for service architecture, ensuring that the "easy way" to build is also the most secure, reliable, and observable way.

+ Empower application teams to own their own production health by providing intuitive dashboards, standardized alerting frameworks, and distributed tracing tools.

** What you should have:*
* + Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent practical experience.

+ 5+ years of experience in backend programming languages such as Python, Go, Java.

+ 3+ years of extensive experience with leading cloud platforms (Google Cloud Platform) and their core services.

+ Expertise in containerization technologies (Docker) and container orchestration platforms (Kubernetes), crucial for managing scalable applications.

+ Proven experience with Infrastructure as Code (IaC) tools such as Terraform, Terragrunt, Pulumi, and Helm, for automated and consistent infrastructure management.

+ Experience building infrastructure on one or more Cloud platforms (AWS, GCP, Azure, Oracle)

+ Proficiency with CI/CD systems and workflows (e.g., ArgoCD, Github Actions), enabling continuous delivery and integration.

+ Empathy for the Developer Experience (Dev Ex): A proven track record of gathering feedback from engineering teams to improve internal tooling and workflows.

+ API-First Mentality:
Experience building internal APIs or abstractions that hide the complexity of Kubernetes or Cloud IAM from the end-user (the SWE).

+ Teaching & Mentorship:
Ability to…