Full Stack Developer

Primary duties will include:

• Design and implement backend services and APIs supporting trading, clearing, settlement, and reporting workflows for LATAM markets.
• Own features end to end: requirements refinement with business stakeholders, technical design, implementation, testing, deployment, and production support.
• Build and maintain integrations with exchanges, clearinghouses, market data providers, and internal global platforms (FIX, REST, messaging, file-based protocols).
• Develop data pipelines and reconciliation processes feeding regulatory and internal reporting (CVM/B3, CNBV, and equivalents).
• Contribute to architecture decisions and technical documentation (ADRs, runbooks, integration specs); evaluate trade-offs on build vs. buy and global vs. regional solutions.
• Improve observability, automated testing, and CI/CD maturity across owned services; reduce toil through automation.
• Participate in code reviews and set standards for code quality, security, and performance within the team.
• Support incident response for production systems, including root-cause analysis and preventive follow-up.
• Mentor mid-level and junior engineers; act as technical reference for a domain or set of services.
• Coordinate with distributed teams across the US, UK, and Asia; including working across time zones and in English.
• This list of duties and responsibilities is not intended to be all-inclusive and can be expanded to include other duties or responsibilities that management deems necessary.
• To land this role you will need :
• Professional software engineering experience, with demonstrated senior-level ownership of production systems.
• Strong proficiency in at least one of: C#/.NET, Java, or Python; solid working knowledge of a second language.
• Solid grounding in SQL and relational databases (SQL Server, PostgreSQL, or Oracle), including query tuning and data modeling.
• Experience designing and consuming APIs and integrating distributed systems; familiarity with messaging/streaming (Kafka, RabbitMQ, MQ) and event-driven patterns.
• Cloud experience (AWS or Azure) and containerization (Docker, Kubernetes).