Senior Software Engineer-Trading
Technologies
Java · Spring Boot · Quarkus · Kafka · AWS · FIX · REST · SQL · NoSQL · React
About addepar
Data and AI platform that unifies portfolio, market and client data into a total portfolio view for wealth managers, RIAs and family offices.
Series G · 1000–2000 people
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
within 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, low latency, and high fault tolerance. We’re looking for a strategic technical leader who remains deeply hands-on and is passionate about solving highly complex, ambiguous engineering challenges. You will drive the architectural vision, establish high-quality engineering standards, and work closely with product and design leadership to deliver impactful business outcomes. You will champion Agile methodologies and the adoption of AI-assisted development tools across the organization to amplify
More from the job description
Who We Are 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, Singapore and São Paulo. The Role We are currently seeking a visionary and hands-on Senior Software Engineer with deep expertise in Java and distributed systems to lead technical initiatives within 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, low latency, and high fault tolerance. We’re looking for a strategic technical leader who remains deep [... source excerpt omitted ...] You will drive the architectural vision, establish high-quality engineering standards, and work closely with product and design leadership to deliver impactful business outcomes. You will champion Agile methodologies and the adoption of AI-assisted development tools across the organization to amplify engineering delivery. This role requires someone to work Eastern working hours. 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 [... source excerpt omitted ...] ce: Shape the engineering culture by mentoring teams, elevating Agile SDLC standards. Strategic Collaboration: Partner with cross-functional leaders to translate complex business requirements into actionable, scalable technical roadmaps. Who You Are Education: B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience) Experience: 8+ years of experience architecting and building complex backend distributed systems at scale. Technical Stack: Expert in Java, Spring Boot, JVM tuning, and concurrency (Quarkus experience is a plus). Cloud & Data: Advanced expertise in AWS cloud-native architectures, and messaging platforms like Kafka D
Employer postings · Data from · Sources