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5 дней назад

Senior Software Engineer, Database Systems (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer, Database Systems (AI) (C++/Go/Rust): Building core modules for Milvus and Vector Lakebase, including storage, query execution, indexing, load balancing, and distributed execution with an accent on cloud-native scaling, multi-tenancy, and AI workloads. Focus on designing database internals, solving concurrency and latency challenges, and bringing reliable engine capabilities into Zilliz Cloud and the open-source Milvus ecosystem.

Location: Redwood City, United States; hybrid workplace

Company

hirify.global develops enterprise-grade vector database technologies for AI applications, including the Milvus open-source vector database and Vector Lakebase.

What you will do

  • Design and build core database modules covering storage, query engines, indexing, load balancing, resource management, and distributed execution.
  • Evolve the engine architecture with Lake-native capabilities, elastic scaling, and large-scale multi-tenancy.
  • Build database capabilities for AI and Agent workloads with higher concurrency, larger scale, and lower latency.
  • Own the stability of hirify.global Cloud and bring engine capabilities into production with cloud platform and product engineering teams.
  • Improve AI developer tooling, engineering workflow, and system observability.
  • Contribute design documents, code, reviews, and technical discussions to the Milvus open-source community.

Requirements

  • 3+ years of experience building database systems, distributed systems, storage engines, query engines, search systems, or large-scale data infrastructure.
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • Strong systems programming ability in one or more of C++, Go, or Rust.
  • Deep understanding of distributed systems and database internals, including consistency, scalability, performance, fault tolerance, query execution, storage, indexing, and resource management.
  • Strong engineering judgment regarding simplicity, durable abstractions, performance, and cost tradeoffs.

Nice to have

  • Experience with large-scale cloud-native databases, storage systems, search systems, or data platforms.
  • Open-source contributions involving databases, storage, search, Kubernetes, or distributed systems.

Culture & Benefits

  • Deep systems engineering focused on correctness, performance, simplicity, and long-term architecture.
  • AI-assisted coding, testing, documentation, and design workflows with human engineering judgment.
  • Fast-paced environment with ownership, rapid learning, and challenging database problems.
  • Competitive cash compensation, equity, bonuses, and equity refresh opportunities.
  • Medical, dental, and vision insurance; paid vacation, sick leave, global reset and wellbeing days.
  • Generous 401(k) and regional retirement plans.

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