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5 дней назад

Forward Deployed Engineer (Rust)

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

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TL;DR
Forward Deployed Engineer (Rust) (Data & AI Platform): Deploying, optimizing, and extending Spice.ai solutions for enterprise customers and partners with an accent on distributed systems, search, data integration, and AI inference. Focus on designing production architectures, solving deployment and performance challenges, and incorporating real-world usage into open-source and core product improvements.

Location: Hybrid in Bellevue, Washington; the Bay Area, California; or Seattle, Washington. Travel of 20%+ may be required based on customer needs.

Company

hirify.global develops open-source and managed cloud infrastructure that unifies query federation, search, and AI for intelligent applications and agents.

What you will do

  • Embed with enterprise customers and partners to deploy Spice.ai OSS, Enterprise, and Cloud Platform in production.
  • Build, configure, and optimize proof-of-concepts and deployments for performance, scalability, and security.
  • Design end-to-end architectures for data querying, search, and AI inference.
  • Debug technical issues, resolve deployment blockers, and extend Spice.ai capabilities on-site or remotely.
  • Collaborate with engineering to turn customer feedback into product improvements and contribute to Spice.ai OSS.
  • Lead customer integration initiatives, drive feature adoption, and improve developer experiences.

Requirements

  • 5+ years of engineering experience focused on deploying data, search, and AI systems in enterprise environments.
  • Experience designing and scaling production database engines, distributed systems, search engines, and data and AI pipelines.
  • Strong SQL skills, including queries, syntax, data modeling, and optimization.
  • Knowledge of databases, data warehousing, data lakes, search, virtualization, data meshes, storage, and data integration.
  • Experience with technologies such as Databricks, Snowflake, Starburst, Dremio, Elasticsearch, HDFS, Amazon S3, or relational databases.
  • Ability to address data security, privacy, authentication, authorization, encryption, performance tuning, and customer-facing technical communication.

Nice to have

  • Contributions to open-source projects.
  • Experience with Apache infrastructure, the CNCF stack, or cloud-native development.

Culture & Benefits

  • Work alongside founders and engineering teams on customer-facing product development.
  • Combine on-site and remote customer collaboration in a hybrid role.
  • Follow a builder-oriented culture focused on merit, excellence, intelligence, and solving difficult technical problems.
  • Take ownership of customer deployments and technical strategies from architecture through production rollout.

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