Software Engineer - Trading (OMS)

AddeparNew York, NY
$107,000 - $168,000

About The Position

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo. We are currently seeking a hands-on Software Engineer with a strong Java background to join our Order Management System (OMS) team in Trading! We are building a high-performance Trading Order Lifecycle Management system designed to bridge the gap between investment intent and market execution. Our platform serves as the mission-critical link between our portfolio managers and executing brokers, ensuring every trade is executed, allocated, and reported with absolute precision. We’re looking for a detail-oriented, hands-on Software Engineer who is passionate about technology and high-quality engineering processes. You will work closely with our product and design teams to deliver impactful business outcomes using Agile methodologies and AI-assisted development to amplify delivery. Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $107,000 - $168,000 (base salary) + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

Requirements

  • Education: B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience)
  • Experience: 4+ years of software engineering experience with a focus on backend distributed systems
  • Technical Stack: Proficient in Java and Spring Boot (experience with Quarkus is a plus)
  • Cloud & Data: Hands-on experience with AWS and messaging platforms like Kafka
  • Database Knowledge: Experience with databases, SQL, NoSQL, and data architectures
  • Modern Workflow: Comfortable with AI-assisted development tools and a bias toward smart automation
  • Ownership: A strong ownership mentality with the ability to provide L3 support and solve complex analytical problems
  • Soft Skills: A dedicated team player with robust analytical abilities and a passion for experimentation and iteration

Nice To Haves

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

Responsibilities

  • System Development: Design, develop, and deploy high-quality Java applications (using Spring Boot or Quarkus) with a focus on microservices and distributed application development
  • Trade Orchestration: Build and maintain the logic for the trade order life cycle, ensuring successful connection to executing brokers and accurate post-trade allocations
  • Data & Messaging: Implement resilient integration patterns using Kafka for event streaming and manage data across AWS cloud infrastructure
  • Integrations: Support and scale inbound/outbound connectivity via FIX, REST, and File-based interfaces
  • Operational Excellence: Participate in the full Agile SDLC, including code reviews, automated testing, and providing L3 support for the platform
  • Collaboration: Work in partnership with engineering partners and platform users to identify requirements and map out solutions for challenging technology and workflow problems

Benefits

  • bonus
  • equity
  • benefits

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

501-1,000 employees

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