Senior Engineer

Statar Capital, LLC; Oregon; Hybrid; USD 180,000 - 270,000; Full time

Benefits offered by this job

Health, dental, vision

401(K) plan with employer matching

Paid time off

Parental leave

Job summary

Statar Capital, LLC, an investment firm focused on global futures markets, seeks a hands-on Senior Software Engineer to join the technology team in a high-performance trading environment.

You will design, build, and own end-to-end systems connecting traders and researchers to markets, spanning low-level gateways to cloud orchestration on AWS. Remote-friendly with on-site options in Miami.

Qualifications

• 5-10 years of experience building trading systems at a proprietary trading firm, hedge fund, or market maker.
• Experience designing and building complete systems end-to-end, with a deep understanding of how they work at a low level.
• Close work with a trading desk and strong knowledge of the markets and securities traded.
• Modern C++ (17/20), including lock-free queues, memory layout, mmap and shared memory, profiling, sanitizers, and CMake.
• Strong production Python, including services, async programming, typing, and testing.
• Market data experience: exchange feeds (MBO/MBP, L2/L3 books), symbology, instrument definitions and amendments, and replay and backfill.
• Order flow experience: OMS/EMS concepts, the order lifecycle, pre-trade risk checks, and the flow from fills to positions to PnL.
• FIX protocol: sessions, sequence and resend recovery, broker dialects, and drop copy.
• Messaging: Kafka and/or Redis pub/sub, and binary serialization (FlatBuffers, SBE, protobuf).
• SQL and Postgres, including schema design and migrations.
• Ability to own infrastructure independently at an operator level: Docker, Kubernetes, Terraform, CI/CD, and AWS.
• Experience designing and building AI-based infrastructure, including async agents.

Responsibilities

• Design and build low-latency trading infrastructure in modern C++, including exchange and broker gateways.
• Build and maintain market data systems, including exchange feed handlers, order book construction, instrument definitions and amendments, and replay and backfill.
• Build order management and execution components covering the order lifecycle, pre-trade risk checks, and the flow from fills to positions to PnL.
• Implement and operate FIX connectivity with brokers and exchanges, including session and sequence recovery and drop copy.
• Build production Python services and the messaging layer that connects them, using Kafka, Redis, and binary serialization formats.
• Design, optimize, and migrate databases that support trading and research workloads.
• Deploy and own cloud infrastructure on AWS using Terraform, Docker, Kubernetes, and CI/CD, including orchestration of production workloads.
• Design and build AI-based infrastructure, including async agents.
• Work directly with traders and researchers to turn desk requirements into production systems.
• Document system architecture and operating procedures.

Skills

Low-latency systems

C++ 17/20

End-to-end trading

Trading desk collaboration

AWS

Kubernetes

Docker

GitOps

Tools

Kafka

Redis

Postgres

FlatBuffers

SBE

Protobuf

Mmap/shared memory

CMake

CI/CD

Terraform

Job description

Statar Capital is an investment management firm focused on global futures markets, with an emphasis on natural gas. Our technology team directly supports trading, research, and operations in a real-time, high-performance environment. We build and operate systems that directly impact PnL. Reliability, speed, and ownership are critical.

The Role

We are looking for a hands-on Senior Software Engineer, preferably based in Miami, FL. This is a senior builder role at the center of our trading stack. You will design and build the systems that connect our traders and researchers to the markets, from low-level exchange and broker gateways to the cloud infrastructure and orchestration everything runs on. On any given day you might be writing performance-critical C++ for a trading gateway, and the next you might be deploying and orchestrating infrastructure in AWS. You will own systems end-to-end, from design through production. This role is ideal for someone who understands trading systems at a deep level, has worked closely with a trading desk, and prefers building complete systems over working on one narrow component.

A successful candidate for this role:

• Is a builder who is comfortable across the full stack, from low-level code to infrastructure
• Has designed and built complete trading systems end-to-end
• Understands how systems work under the hood, not just at the framework or API level
• Has worked closely with a trading desk and knows the markets and securities involved
• Takes ownership from design through production

This is not a role for a narrow specialist.

Key Responsibilities

• Design and build low-latency trading infrastructure in modern C++, including exchange and broker gateways.
• Build and maintain market data systems, including exchange feed handlers, order book construction, instrument definitions and amendments, and replay and backfill.
• Build order management and execution components covering the order lifecycle, pre-trade risk checks, and the flow from fills to positions to PnL.
• Implement and operate FIX connectivity with brokers and exchanges, including session and sequence recovery and drop copy.
• Build production Python services and the messaging layer that connects them, using Kafka, Redis, and binary serialization formats.
• Design, optimize, and migrate databases that support trading and research workloads.
• Deploy and own cloud infrastructure on AWS using Terraform, Docker, Kubernetes, and CI/CD, including orchestration of production workloads.
• Design and build AI-based infrastructure, including async agents.
• Work directly with traders and researchers to turn desk requirements into production systems.
• Document system architecture and operating procedures.

Qualifications Required

• 5-10 years of experience building trading systems at a proprietary trading firm, hedge fund, or market maker
• Experience designing and building complete systems end-to-end, with a deep understanding of how they work at a low level
• Close work with a trading desk and strong knowledge of the markets and securities traded
• Modern C++ (17/20), including lock-free queues, memory layout, mmap and shared memory, profiling, sanitizers, and CMake
• Strong production Python, including services, async programming, typing, and testing
• Market data experience: exchange feeds (MBO/MBP, L2/L3 books), symbology, instrument definitions and amendments, and replay and backfill
• Order flow experience: OMS/EMS concepts, the order lifecycle, pre-trade risk checks, and the flow from fills to positions to PnL
• FIX protocol: sessions, sequence and resend recovery, broker dialects, and drop copy
• Messaging: Kafka and/or Redis pub/sub, and binary serialization (FlatBuffers, SBE, protobuf)
• SQL and Postgres, including schema design and migrations
• Ability to own infrastructure independently at an operator level: Docker, Kubernetes, Terraform, CI/CD, and AWS
• Experience designing and building AI-based infrastructure, including async agents

Additional

• Commodity and rates futures and options (energy, ags; ICE, CME, EEX)
• Vendor integrations such as Databento, Bloomberg (BPIPE, EMSX, blpapi), ICE, and Platts
• CSP or a similar streaming graph framework
• Arrow, Parquet, DuckDB, and columnar or time-series stores (QuestDB, kdb)
• Ray or other distributed compute frameworks; Airflow
• Backtest or exchange-simulator design with realistic fill models
• ArgoCD/GitOps, Prometheus, and Grafana

Preference for on-site in Miami, FL; remote work considered.

We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, etc.

Statar Capital LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.