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Addepar

Cloud-based wealth management data platform

Senior Software Engineer-Trading

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • B.S. or M.S. in Computer Science or a similar technical field of study, or equivalent practical experience.
  • At least 8 years of experience architecting and building complex backend distributed systems at scale.
  • Expertise in Java, Spring Boot, JVM tuning, and concurrency.
  • Advanced expertise in AWS cloud-native architectures and messaging platforms such as Kafka.
  • Experience with databases, SQL, NoSQL, and data architectures.
  • Ability to drive cross-team initiatives and take ownership.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

Responsibilities

  • Drive technical direction and architect highly scalable, resilient Java/Spring Boot or Quarkus microservices.
  • Design trade order life cycle logic, ensuring reliable broker connectivity and accurate allocations.
  • Architect enterprise-grade event-driven systems and scalable data solutions on AWS using Kafka.
  • Scale inbound and outbound connectivity across FIX, REST, and file-based interfaces for performant data exchange.
  • Mentor teams and elevate Agile software development life cycle standards.
  • Partner with cross-functional leaders to translate complex business requirements into actionable, scalable technical roadmaps.
  • Champion Agile methodologies and adoption of AI-assisted development tools to improve engineering delivery.

Desired Qualifications

  • Experience in Trading or Financial Services domains.
  • Practical knowledge of the FIX protocol.
  • Familiarity with frontend technologies such as React to support UI-related backend requirements.
  • Experience with Quarkus.

About the Company

Addepar

Cloud-based wealth management data platform

Addepar offers a cloud-based wealth management platform that consolidates data for data aggregation, analytics, and reporting. It ingests data from custodians, fund administrators, and broker-dealers to present a single, real-time view with tools for performance, risk, scenario modeling, and automated billing, plus a broad API and hundreds of integrations. It specializes in complex, multi-asset and illiquid portfolios (like private equity and real estate) for high-net-worth clients, with pricing based on assets under management. Its goal is to deliver transparent, data-driven insights and an integrated, scalable system that streamlines portfolio oversight and operations for wealth managers.

Company size
1,001-5,000
Company stage
Series G
Total funding
$872.8M
Headquarters
New York City, New York
Founded
2009

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