Staff Software Engineer - Margin & Risk

BrazilRemoteFull-timelead

Software EngineerSoftware Engineering

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Key Responsibilities

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Software EngineerSoftware Engineering

As a Staff Software Engineer, you will provide technical direction for mission-critical margin and risk systems spanning multiple asset classes.
You’ll design and build infrastructure that calculates margin, enforces real-time exposure limits, and manages margin calls from initiation through resolution.
The role combines distributed systems engineering, financial risk expertise, low-latency architecture, and a strong focus on correctness.
You’ll work across equities, options, crypto, and emerging asset classes, treating customer exposure as a unified cross-asset risk picture.
Your decisions will directly influence financial safety, system reliability, regulatory controls, and the trading experience.
You’ll lead through architecture, code, design reviews, and mentorship rather than direct people management.
Working with engineering, product, operations, compliance, and adjacent platform teams, you’ll establish scalable foundations for a growing global financial platform.

Own the architecture and technical roadmap for margin and risk capabilities across asset classes, including portfolio and intraday margin, options risk, real-time exposure limits, margin-call automation, and models for new products.
Design and build highly reliable services that translate complex margin methodologies, financial rules, and regulatory requirements into correct, testable, and observable systems.
Lead real-time risk enforcement on the order path, carefully balancing latency, accuracy, system resilience, and customer safety.
Drive reliability and performance across mission-critical services, including throughput, state recovery, database efficiency, failure isolation, and system availability.
Partner with Product, Brokerage Operations, Compliance, and adjacent engineering teams such as order management, ledger, account, and market data to establish clear system behavior and integration boundaries.
Establish engineering standards for transactional integrity, idempotency, reconciliation, testing, feature flags, staged rollouts, and other safeguards required for high-consequence financial systems.
Lead architecture and design reviews, mentor senior and mid-level engineers, and help strengthen technical ownership as the team scales.
Serve as a senior technical escalation point for production margin and risk incidents, driving root-cause analysis and durable improvements following failures.
Contribute directly to critical systems through design, implementation, troubleshooting, and performance optimization.

Requirements

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8+ years of backend or distributed-systems engineering experience, with demonstrated technical scope and ownership; experience owning a consequential production system for two or more years is strongly preferred.
Proven experience owning or building high-volume systems where defects can result in financial loss, data-integrity issues, or inappropriate customer restrictions.
Strong experience designing and shipping transactional, low-latency, high-throughput systems.
Advanced proficiency in Go, or deep expertise in Java, C++, or Rust combined with a willingness to work primarily in Go.
Deep understanding of relational databases, particularly PostgreSQL, including transactions, consistency, concurrency, and data integrity.
Experience with event-driven and service-oriented architectures, including technologies such as gRPC, Kafka, RabbitMQ, or comparable messaging and RPC systems.
Experience working with Kubernetes and production-grade distributed infrastructure.
Strong focus on correctness, including testing strategies, edge-case analysis, reconciliation, safe deployments, and controlled production rollouts.
Excellent communication skills, with the ability to explain complex technical and financial concepts to engineering, operations, compliance, and business stakeholders.
Demonstrated technical leadership and mentoring experience, with the ability to influence architecture and engineering practices without direct managerial authority.
Hands-on experience with margin or risk systems across multiple asset classes is highly valuable.
Familiarity with margin methodologies such as Reg T, portfolio margin, options spread margin, or futures margin is a plus.
Experience with brokerage, clearing, exchange, ledger, payments, or settlement systems is beneficial.
Knowledge of options, derivatives, multi-leg strategies, and associated risk characteristics is advantageous.
Experience with workflow orchestration technologies such as Temporal for long-running financial processes is a plus.
Experience with observability, production performance tuning, migrations, or refactoring of production-critical systems is valuable.