Senior Backend Engineer, Agentic Data Platform

Tapestry; New York (NY); Hybrid; USD 262,000 - 369,000; Full time

Benefits offered by this job

Competitive salary and equity

Medical, dental, and vision coverage

Generous PTO and flexible hybrid work

401(k) with employer contribution

Professional development

Job summary

Tapestry, an Alphabet-backed team, seeks a Senior Staff Backend Software Engineer to build the Agentic Data Platform. You will design and implement LLM-enabled ingestion, enrichment, and discovery of multi-modal data, ensuring the platform is Agentic-aware from inception.

You will collaborate with engineers, ML researchers, power systems experts, and PMs to plan, coordinate, and integrate work across teams, delivering secure, scalable data infrastructure for the modern global grid.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5-8 years of experience building enterprise-grade complex software systems.
• Proficiency in at least one major backend language (Java/Kotlin or Golang preferred).
• Experience with microservices, RESTful APIs, gRPC, and Cloud SQL (PostgreSQL/MySQL).
• Hands-on experience with Google Cloud Platform (preferred) or AWS/Azure.

Responsibilities

• Design, implement, and operate massive-scale data infrastructure and backend services for the Agentic Data Platform.
• Build low-latency streaming for large-scale data processing and AI-driven simulations.
• Collaborate with data security, product, and cross-functional teams to translate requirements into products.
• Migrate teams to the Data Platform with minimal downtime while maintaining speed.
• Interface with external partners to rapidly prototype and evaluate feasibility.

Job description

Tapestry, an Alphabet-backed team, seeks a Senior Staff Backend Software Engineer to build the Agentic Data Platform. You will design and implement LLM-enabled ingestion, enrichment, and discovery of multi-modal data, ensuring the platform is Agentic-aware from inception.

You will collaborate with engineers, ML researchers, power systems experts, and PMs to plan, coordinate, and integrate work across teams, delivering secure, scalable data infrastructure for the modern global grid.