Staff Backend Software Engineer

Tapestry•Mountain View, CA

2d•Hybrid

About The Position

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 . As a staff backend software engineer you will work across the entire Tapestry platform, helping the team design and implement secure, reliable, and scalable infrastructure and services. You will work closely with other software engineers, machine learning experts, power systems domain experts and product managers to plan, coordinate and integrate your work. This is your dream job if you are passionate about enabling product teams to ship faster, safer and more autonomously by abstracting away infrastructure complexity. Come talk to us if you are excited about energy tech and have strong engineering chops to help push our electric grids towards the future!

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Algorithms and Data Structures: Strong grasp of foundational computer science concepts to optimize code performance and memory usage.
10+ years of experience building enterprise grade complex software systems and applications.
Excellent problem solving and ability to navigate complex/ambiguous situations.
Ability to work effectively with cross-functional teams of engineers, scientists, domain experts and PMs.
Proficiency in at least one major backend language (Java/Kotlin or Go Lang preferred).
Experience with large-scale data processing and modeling, designing backend services and building robust enterprise class applications.
Extensive experience with microservices architecture, including RESTful APIs, gRPC, event-driven design patterns, and Cloud SQL (PostgreSQL/MySQL).
Knowledge of logging and monitoring tools (e.g., Prometheus, Grafana, GCP cloud monitoring) to troubleshoot production issues.
Hands-on experience with Google Cloud Platform (preferred) or AWS/Azure.
Demonstrated ability to drive technical strategy and lead large-scale architectural decisions across teams.
Experience mentoring engineers and fostering a culture of technical excellence.

Nice To Haves

Working knowledge or background in power systems or electric grid technologies.
Experience with building full-stack applications including frameworks such as Angular.
Knowledge of enterprise security architectures, compliance standards and zero-trust security models.
Experience working in a Startup/early stage company.

Responsibilities

Design and implement robust, end to end production-level software to make complex data accessible through enterprise class applications
Drive technologies and product development for the energy domain, including data ingestion, storage and services from different sources.
Work effectively with cross-functional teams of engineers, scientists, domain experts and PMs.
Interface with external partners to refine technical requirements, and rapidly develop prototypes to evaluate feasibility
Have strong software engineering/system design skills and being excited about solving complex problems at scale and navigating ambiguity