обновлено 5 дней назад
Staff Software Engineer - Data Platform (AI)
166 700 - 232 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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