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3 часа назад

Software Development Engineer II- Trust Intelligence (FinTech)

144 000 - 180 000$
Формат работы
hybrid
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

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TL;DR
Software Development Engineer II- Trust Intelligence (FinTech): Architecting and scaling high-throughput data infrastructure and risk-signal pipelines for fraud decisioning and machine learning with an accent on distributed systems, streaming architecture, feature stores, and data quality. Focus on building real-time and batch pipelines, detecting feature drift and anomalies, optimizing AWS infrastructure, and enabling automated ML retraining.

Location: Seattle, Washington, United States; hybrid schedule with onsite work Tuesday through Thursday each week and additional office attendance as needed.

Salary: $144,000–$180,000 annual base salary, plus equity and other compensation components.

Company

hirify.global provides secure financial services for customers sending and managing money across borders.

What you will do

  • Architect and scale distributed data systems and Kafka- and Spark-based pipelines for high-throughput, low-latency risk signals.
  • Define technical strategy for SQL and NoSQL databases, storage patterns, streaming architecture, and AWS cost optimization.
  • Design data models, feature delivery mechanisms, feature stores, and infrastructure for real-time decisioning and analytics.
  • Build data integrity, observability, feature anomaly detection, and drift detection capabilities while meeting financial data privacy standards.
  • Partner with data scientists, ML engineers, and risk leadership to support model deployment and automated retraining.
  • Mentor engineers, lead architecture reviews, establish engineering standards, and drive large technical initiatives.

Requirements

  • 6+ years of professional software engineering experience building production-grade, scalable data systems.
  • Experience designing large-scale distributed systems, making architectural trade-offs, and applying data warehousing and data lake principles.
  • Expertise in Python, Java, Scala, or Go, plus hands-on experience with Spark, Snowflake, Kafka, and Airflow.
  • Experience building and optimizing distributed systems on AWS, including services such as Kinesis, S3, EMR, Redshift, or DynamoDB.
  • Experience with low-latency streaming applications and leading complex technical initiatives from conception through production and deprecation.
  • U.S.-based hybrid work is required, with onsite attendance Tuesday through Thursday.

Nice to have

  • Experience designing data infrastructure for machine learning pipelines, including feature outlier and drift detection.
  • FinTech, fraud, or risk-domain experience involving adversarial data, high-volume transactions, or compliance requirements.

Culture & Benefits

  • Flexible paid time off.
  • Health, dental, and vision insurance with a 401(k) plan and company matching.
  • Paid parental, medical, military, and family care leave.
  • Mental health and family-forming benefits.
  • Employee Stock Purchase Plan and continuing education and travel benefits.
  • Equity participation as part of the total compensation plan.

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