3 часа назад
Software Development Engineer II- Trust Intelligence (FinTech)
144 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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