Software Engineer, Portfolio Engineering at Talos

Company: Talos

Location: New York

Type: Full-time

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Job Description

Institutional Fabric for the Digital Asset Market Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem. Our mission is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world, supporting the entire trading lifecycle. At Talos, you’ll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe every member of our team brings invaluable insights and abilities that drive Talos forward. In our pursuit of excellence, we foster a culture of trust, integrity, collaboration, and mutual growth. We are a tight-knit yet globally distributed team of highly experienced engineers and business leaders, with hubs in New York, London, Singapore, and Cyprus. You’ll be part of a hybrid-friendly environment where your unique talents and insights will play a crucial role in building something extraordinary. Software Engineer, Portfolio Engineering Talos is seeking a Software Engineer to join the Portfolio Engineering team. This team builds the systems that power institutional portfolio construction, optimization, risk modeling, and systematic strategy deployment across digital assets. The Portfolio Engineering platform integrates directly with the Talos OEMS, enabling clients to design, validate, and execute investment strategies within a unified, production-grade environment. You will contribute to core systems that require correctness, performance, and scalability. Responsibilities Design and implement core components of the Portfolio Engineering platform, including the backtester, portfolio optimizer, rebalancer, and reporting engine. Own features end-to-end: requirements definition, technical design, implementation, testing, and documentation. Develop high-performance backend services primarily in Java, with supporting Python components. Contribute to distributed, cloud-native systems deployed across AWS and GCP. Ensure systems meet production standards for reliability, scalability, and performance. Collaborate cross-functionally with Product, Quant, and Client teams to deliver institutional-grade solutions. Qualifications 5+ years of experience building backend systems in Java. Strong understanding of concurrency, high-throughput system design, and distributed architectures. Experience developing REST and WebSocket services. Proficiency with SQL databases and modern development workflows (Git, CI/CD, Jira). Experience working in cloud environments (AWS or GCP). Preferred Exposure to Python data libraries (NumPy, pandas). Familiarity with portfolio construction, risk modeling, or systematic trading systems. Understanding of regression techniques, time-series analysis, or constraint-based optimization concepts. Check out these vi

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