9 дней назад
Staff Infrastructure Engineer (AI)
160 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Infrastructure Engineer (AI): Building the infrastructure systems that store, index, retrieve, process, and move billions of pieces of content for an agentic AI trust platform with an accent on distributed systems, databases, search, asynchronous execution, and cloud architecture. Focus on scaling high-throughput data systems, leading safe migrations, designing reusable infrastructure primitives, and improving reliability through production operations.
Location: New York City, United States; on-site, five days a week for the NY team
Salary: $160,000–$300,000 base salary, plus equity
Company
builds an agentic AI platform that detects, monitors, and removes impersonators, fraud, AI-driven scams, and identity abuse.
What you will do
- Set the technical direction for infrastructure across databases, search and retrieval, data processing, asynchronous execution, and cloud architecture.
- Redesign search and retrieval systems for fast investigation across billions of pieces of content.
- Evolve relational database architecture through sharding, partitioning, indexing, caching, and new data-access patterns.
- Design scalable asynchronous systems covering scheduling, queues, workflows, retries, backpressure, rate limiting, and failure recovery.
- Build high-volume ingestion, streaming, batch-processing, and reprocessing infrastructure.
- Develop shared infrastructure services, APIs, libraries, and cloud foundations, while leading safe migrations and operating production systems.
Requirements
- Experience operating at staff scope, setting technical direction across team boundaries, and leading complex projects from design through adoption.
- Track record of designing and building distributed infrastructure systems used by engineers or products.
- Experience scaling production systems through major increases in data volume, traffic, or workload complexity.
- Deep knowledge of relational database architecture, including data modeling, indexing, partitioning, sharding, caching, and migrations.
- Experience with high-throughput asynchronous systems and large-scale search, retrieval, ingestion, streaming, or batch processing.
- Ability to work across cloud compute, storage, networking, isolation, resource management, and deployment architecture.
Culture & Benefits
- In-person engineering team based in a waterfront Brooklyn office, with flexibility as needed.
- 100% company-paid medical, dental, and vision insurance for employees.
- Flexible PTO focused on managing energy rather than clock time.
- Annual company retreats and regular in-person events.
- Equity is included in the compensation package.
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