Senior Backend Software Engineer-NYC

Software Engineering Mountain View, CA (HQ)

About Tapestry

Tapestry is a team within Alphabet 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 product 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. Learn more about our team and our mission here.

As a senior staff backend software engineer building Tapestry’s Agentic Data Platform you will build a data platform to serve the needs of all of Tapestry. You will design and implement LLM-enabled semantic ingestion, enrichment, and discovery of multi-modal data so that the platform is Agentic aware from inception. You will work closely with other software engineers, machine learning experts, power systems domain experts, and product managers across several different teams to plan, coordinate, and integrate your work.

This is your dream job if you are passionate about building the foundational data services that bridge real-world physical assets with cloud-scale AI, ensuring our mission‑critical services are ready to serve the data needed for the modernization of the global grid.

• Design and implement massive‑scale, secure, enterprise‑grade data infrastructure and shared backend services that form the Tapestry’s Agentic Data platform for data ingestion, enrichment, and retrieval.
• Partner with data security and product teams to build protection mechanisms for sensitive grid data and meet data governance compliance standards.
• Build low‑latency streaming infrastructure for large‑scale data processing and modeling, ensuring our AI‑driven simulations and optimizations can scale to manage the world's most complex power grids.
• Partner with a cross‑functional team of engineers, PMs, AI researchers, and power systems experts to translate complex business requirements into products driving real‑world impact.
• Collaborate with technical leads across different teams to migrate them to the Data Platform with no downtime and without compromising their ability to move quickly where needed.
• Interface with external partners to refine technical requirements, and rapidly develop prototypes to evaluate feasibility.

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 5‑8 years of experience building enterprise‑grade complex software systems and applications with a strong grasp of foundational computer science concepts to optimize code performance and memory usage.
• Excellent problem solving skills and ability to navigate complex/ambiguous situations.
• Strong communication skills and the ability to drive consensus across stakeholders and with leadership.
• Proficiency in at least one major backend language (Java/Kotlin or Golang preferred).
• Experience with microservices architecture, including use of RESTful APIs, gRPC, event‑driven design patterns, and Cloud SQL (PostgreSQL/MySQL).
• Experience managing multi‑modal data such as blobs, structured data and free‑form text, including databases and objects.
• 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.

• Working knowledge or background in power systems or electric grid technologies.
• Experience with data governance, data protection or data sovereignty.
• Experience with building full‑stack applications including frameworks such as Angular.
• Knowledge of enterprise security architectures, compliance standards and…