6 дней назад
Staff Backend Engineer, Data (AI)
203 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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