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Staff Software Engineer - Data Platform (AI)

166 700 - 232 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
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
Staff Software Engineer - Data Platform (AI): Extending a configuration-driven data platform to deliver product data insights and infrastructure for Machine Learning and LLM-driven insights with an accent on distributed data systems, governance, scalable modeling, and cloud data infrastructure. Focus on architecting platform services, building Python and Snowflake-based pipelines on GCP, mentoring engineers, and operating reliable data systems through their full lifecycle.

Location: United States (Remote)

Salary: $166,700–$232,000 USD per year

Company

hirify.global provides a multitenant, container-based WebOps platform that enables organizations to manage WordPress and Drupal websites in the cloud.

What you will do

  • Extend the configuration-driven data platform to surface insights in the product and support Machine Learning and LLM-driven use cases.
  • Architect and enhance Ingest, Curation, and Retention as a Service platform capabilities.
  • Build data infrastructure with Python, Snowflake, Snowpark, Google Cloud Platform, Airflow, Docker, Kubernetes, and Terraform.
  • Lead technical design, mentor engineers, and raise standards for coding, testing, deployment, and communication.
  • Own development, testing, operations, support, reliability, and on-call participation for the systems you build.
  • Partner with Product, Sales, Operations, Finance, and other teams to deliver data solutions.

Requirements

  • 8+ years of experience building production data systems, including large-scale pipelines, cloud databases, and real-time data events.
  • Deep knowledge of distributed data systems, scalable data modeling, OLAP and OLTP architectures, data governance, and observability.
  • Experience setting technical direction, making architecture decisions, mentoring engineers, and translating ambiguous requirements into designs.
  • Strong hands-on Python experience and experience with Snowflake, BigQuery, Firebolt, or Redshift.
  • Experience with Google Cloud Platform or a comparable cloud environment, containers, Kubernetes, Terraform, Airflow, and CI/CD for data workflows.
  • Experience supporting Machine Learning and LLM infrastructure, such as feature stores, embedding or vector pipelines, or model-ready data services.

Nice to have

  • Google Cloud Platform experience is preferred over comparable cloud environments.
  • Hands-on experience using AI tools to accelerate engineering work.

Culture & Benefits

  • Collaborative, autonomous, and no-blame engineering culture.
  • Industry-competitive compensation and equity plan.
  • Flexible time off, sick days, and 13 paid holidays.
  • Medical, dental, and vision insurance, plus paid parental leave and family-planning benefits.
  • Wellness and reading allowance, LinkedIn Learning access, and team and company events.
  • In-office workspaces are available in San Francisco and Chicago.

Hiring process

  • Reasonable accommodations are available during the interview process.
  • Employment eligibility is verified through E-Verify after an offer is accepted.
  • Visa sponsorship is not available.

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