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6 дней назад

Staff Backend Engineer, Data (AI)

203 000 - 275 000$
Формат работы
onsite
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
Staff Backend Engineer, Data (AI) (Python/Java, AWS, Spark): Building scalable data pipelines, data-serving platforms, and shared AI frameworks for trusted financial data with an accent on distributed processing, data quality, security, and platform reliability. Focus on designing high-performance systems, improving query and infrastructure efficiency, and leading complex cross-team initiatives from architecture through production.

Location: San Francisco, CA

Salary: $203,000–$275,000 USD annually

Company

hirify.global is building an AI platform for wealth professionals and partnering with financial advisors to improve the accessibility and quality of financial advice.

What you will do

  • Set technical direction for scalable data pipelines and data-serving platforms.
  • Design and build systems covering the full lifecycle of financial data, from ingestion and transformation to serving and consumption.
  • Create shared frameworks and platforms that enable AI applications and agents to access trusted data.
  • Lead multi-team initiatives from technical design through rollout and ongoing operation.
  • Establish standards for data quality, observability, recovery, security, and access control.
  • Mentor engineers, lead design reviews, resolve complex production issues, and improve query performance and infrastructure efficiency.

Requirements

  • 8+ years of software engineering experience leading complex platform or distributed-systems initiatives.
  • Strong proficiency in Python or Java, strong SQL skills, and experience operating production systems.
  • Deep experience with databases, data warehouses, ETL or ELT pipelines, data modeling, and large-scale data processes.
  • Experience with Spark or similar distributed-processing frameworks, including failure recovery and performance tuning.
  • Experience designing and operating cloud services, especially AWS, with knowledge of Kubernetes, deployments, and observability.
  • Experience with AI-assisted development tools, technical leadership, cross-team alignment, mentoring, and ownership of production outcomes.

Nice to have

  • Production experience with Snowflake, Airflow, or dbt.
  • Experience building AI applications, agent frameworks, or governed data-access services with evaluation and monitoring.
  • Financial services data experience or work in environments where accuracy, privacy, and reliability are essential.

Culture & Benefits

  • Values include kindness, humility, growth mindset, ownership, resilience, and constructive debate.
  • Premium healthcare, dental, and vision insurance plans.
  • 401(k) savings plan with a 4% match and immediate vesting.
  • Sixteen weeks of paid parental leave after one year of employment.
  • Professional development opportunities, an employee mobility program, and an annual learning and development budget.
  • One month of work from anywhere per year, except for a few countries.

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