Senior Backend Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Backend Software Engineer (AI) (Agentic Data Platform): Building a data platform to serve the needs of Tapestry with an accent on LLM-enabled semantic ingestion, enrichment, and discovery of multi-modal data. Focus on designing massive-scale enterprise-grade data infrastructure and low-latency streaming for AI-driven simulations.
Location: New York, NY (Hybrid)
Salary: $161,000 - $194,000
Company
Tapestry is an Alphabet moonshot working to modernize the global electric grid through the integration of AI and advanced analytical tools.
What you will do
- Design and implement massive-scale, secure, enterprise-grade data infrastructure for the Agentic Data platform.
- Build low-latency streaming infrastructure for large-scale data processing to support AI-driven simulations.
- Collaborate with AI researchers, PMs, and power systems experts to translate complex requirements into real-world products.
- Interface with external partners to refine technical specifications and rapidly develop prototypes.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 3-5 years of experience building complex enterprise-grade software systems.
- Proficiency in Java, Kotlin, or Golang.
- Experience with microservices architecture, RESTful APIs, gRPC, and Cloud SQL (PostgreSQL/MySQL).
- Experience managing multi-modal data including blobs, structured data, and free-form text.
- Must be based in the US.
Nice to have
- Background in power systems or electric grid technologies.
- Experience with data governance, data protection, or data sovereignty.
- Experience building full-stack applications using Angular.
- Knowledge of zero-trust security models and enterprise compliance standards.
Culture & Benefits
- Competitive salary, equity, and 401(k) with employer contribution.
- Comprehensive medical, dental, and vision coverage.
- Flexible hybrid work model and generous PTO.
- Opportunity to work on high-impact global energy problems within an Alphabet-backed environment.
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