Senior Platform Engineer: Financial Infra & Real-Time Data

Storm2

New York (NY)

Hybrid

USD 160,000 - 230,000

Full time

8 days ago
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Job summary

Storm2’s client is a Series A Bay Area wealth technology business building institutional-grade tools. Senior Platform Engineer – Wealth Infrastructure focuses on financial infrastructure underpinnings like trading, ledgering, billing, and portfolio accounting.

Join a team solving complex scaling, reliability, and data integrity challenges, developing real-time data pipelines and APIs for internal and external users.

Qualifications

  • 5+ years of backend or systems engineering experience with distributed systems.
  • Experience in financial systems, data infrastructure, or scalable backend platforms.
  • Strong knowledge of system design, consistency, reliability, and failure modes.
  • Proficient in Python or a similar backend language.
  • Experience with Kafka, Kubernetes, and cloud platforms.

Responsibilities

  • Design core financial systems across trading, ledgering, billing, and portfolio accounting.
  • Develop transaction processing, reconciliation, and portfolio state management workflows.
  • Build and scale real-time and batch data pipelines.
  • Architect APIs and backend services for internal and external users.
  • Improve reliability, observability, resilience, and fault tolerance across critical systems.
  • Contribute to distributed systems architecture with event-driven microservices and streaming.
  • Partner with machine learning teams for production systems integration.

Skills

Distributed systems
Python
Backend engineering
System design
Reliability

Tools

Kafka
Kubernetes
Cloud platforms

Job description

Storm2’s client is a Series A Bay Area wealth technology business building institutional-grade tools. Senior Platform Engineer – Wealth Infrastructure focuses on financial infrastructure underpinnings like trading, ledgering, billing, and portfolio accounting.

Join a team solving complex scaling, reliability, and data integrity challenges, developing real-time data pipelines and APIs for internal and external users.

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