Backend Software Engineer, Agentic Data Platform-NYC

Tapestry•Mountain View, CA

4h•$161,000 - $194,000•Hybrid

About The Position

Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world’s most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean. Originally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently. This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future. Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. 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.

Requirements

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 (DevEx): 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 lead "Office Hours" or write internal documentation that upskills the broader engineering org on cloud-native patterns.

Nice To Haves

2+ years of experience delivering large-scale transformation projects, specifically transitioning legacy applications to modern cloud-native solutions.
Track record of delivering scalable solutions to complex software problems
Experience in startup or high-growth environments.

Responsibilities

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.