Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли четкий фокус на платформенной инженерии, большая ответственность за production-системы данных и ML, а также современный стек в быстрорастущей health-tech компании; основной компромисс - широкий охват аналитики, обработки данных и ML-инфраструктуры.
?Широкий охват
Современный стек
Быстрый рост
Медицинские технологии
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer, Data Platform (Data/ML Infrastructure): Building self-service data, tracking, and ML platform infrastructure with an accent on declarative contracts, schema enforcement, testing, observability, and safe deployment. Focus on designing reliable lakehouse pipelines, feature computation and serving, lineage, progressive promotion gates, and rollback mechanisms for engineers and domain experts.
Location: Remote in the United States or Canada
Company
hirify.global is building an AI-powered health platform that combines lab testing, imaging, longitudinal data, and clinical guidance to help members understand and improve their health.
What you will do
Build tracking infrastructure for product analytics, experimentation, and feature gates, including source-enforced event schemas.
Develop Databricks Bronze–Silver–Gold data processing infrastructure with schema evolution, contract tests, backfills, freshness monitoring, and volume monitoring.
Build ML infrastructure for feature computation and serving, training and evaluation pipelines, and returning model outputs to the product.
Create self-service templates, local development and preview environments, policy-as-code for PHI, ownership routing for alerts, and progressive deployment gates.
Design guardrails including declarative contracts, data-aware CI, validation gates, lineage, observability, and one-command rollback.
Requirements
Experience building internal platforms or infrastructure adopted by other engineers.
Production experience operating data or ML systems, including on-call support and incident resolution.
Strong Python and SQL skills.
Experience with a lakehouse; Databricks is used, while Snowflake or BigQuery experience is transferable.
Experience designing and evolving interfaces and schemas used by other teams without breaking dependent systems.
Experience with testing and CI for data or ML systems where correctness can be statistical and failures may be silent.
8+ years of engineering experience; demonstrated impact and built systems are valued over the number alone.
Authorization to work in the United States or Canada is required.
Nice to have
Declarative pipeline frameworks such as dbt, DLT, Dagster, or Airflow.
Streaming experience with Kafka or Spark Structured Streaming.
Data contracts, data diffing, or lineage tooling.
Terraform, feature stores, MLOps, or evaluation tooling.
Agentic coding workflows.
Healthcare, PHI, or HIPAA experience.
Culture & Benefits
Full-time role with flexible working hours.
Competitive salary and benefits package.
Collaborative, dynamic environment focused on rapid execution, ownership, clinical precision, and member outcomes.
Commitment to diversity, inclusion, and equal employment opportunity.
Hiring process
Submit contact details, LinkedIn URL, resume, and referral information if applicable.
Provide authorization-to-work and visa-sponsorship information for the United States or Canada.
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