Staff Software Engineer - Storage Infra & AI SDKs

Nubeero Limited

San Francisco (CA)

Hybrid

USD 180,000 - 240,000

Full time

48 hours ago
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Job summary

Stripe is seeking a Staff Software Engineer for the Storage Abstractions (STAX) team in San Francisco. You will set technical direction and lead multi-year initiatives at the intersection of developer infrastructure, data access, and AI.

Build storage-access frameworks and agent-friendly interfaces across languages and backends. You will design stable interfaces, guardrails, and developer workflows to ensure correctness, reliability, and high performance.

Qualifications

  • 12+ years of professional software engineering experience.
  • Experience leading technical strategy and delivery for cross-team initiatives.
  • Experience in API design, SDKs, abstractions, frameworks, or client libraries.
  • Hands-on infrastructure and product development for internal or external customers.
  • Strong problem-solving, communication, and collaboration skills.

Responsibilities

  • Set technical direction for Stripe’s storage-access initiatives.
  • Lead high-impact programs from strategy through delivery.
  • Evolve storage abstractions for multi-language and multi-backend use.
  • Design interfaces and guardrails focused on correctness, reliability, and performance.
  • Mentor engineers and partner with product and infra teams.

Skills

12+ years experience
Technical leadership
API design
SDK development
Distributed systems
AI infrastructure
Java
Ruby
Python
Strong communication

Tools

MongoDB
DynamoDB
Elasticsearch
RocksDB
Relational databases

Job description

Stripe is seeking a Staff Software Engineer for the Storage Abstractions (STAX) team in San Francisco. You will set technical direction and lead multi-year initiatives at the intersection of developer infrastructure, data access, and AI.

Build storage-access frameworks and agent-friendly interfaces across languages and backends. You will design stable interfaces, guardrails, and developer workflows to ensure correctness, reliability, and high performance.

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