Software Engineer - Database

Accountabilities: Design, develop, test, and deliver well-structured, well-reviewed features and fixes across exchange, clearinghouse, and brokerage services, primarily using Haskell. Understand end-to-end order, trade, clearing, and settlement workflows to ensure reliable data handling across systems. Design database schemas, constraints, and indexes for new features, using precise numeric types and audit trails to preserve financial data integrity. Develop safe, reversible database migrations for large tables, minimizing locking and operational disruption. Review database migrations proposed by other engineers to ensure quality, reliability, and consistency. Analyze query execution plans and production performance metrics to identify bottlenecks and optimize queries, indexes, and data access patterns. Monitor production systems, respond to alerts, and support operational activities such as daily settlement cycles. Investigate production incidents, resolve root causes, and document findings and lessons learned. Requirements: At least 3 years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++. Strong SQL and PostgreSQL expertise, including a solid understanding of transactions and isolation levels. Strong computer science fundamentals, including data structures, concurrency, and distributed systems concepts. Understanding of replication, consistency, retries, idempotency, and techniques for maintaining data correctness when distributed services experience failures. Willingness to participate in on-call rotations and operational shifts. High attention to detail and a rigorous approach to developing software and managing data involved in financial transactions. A measurement-driven approach to performance optimization, with the ability to investigate issues before making changes. Good judgment when using AI-assisted development tools, including the ability to review, test, and understand generated code before deployment. Analytical thinking, curiosity, and a habit of understanding the reasons behind technical decisions and problems. Calm, methodical judgment when handling production issues under pressure. Strong collaboration and documentation skills, with the ability to work effectively across engineering, operations, risk, and compliance teams. Nice to have: Knowledge of financial services, trading, or financial markets. A bachelor's degree in computer science or a related field, or equivalent practical experience. Experience with Haskell, particularly in PostgreSQL-backed services. Production experience with AWS Aurora PostgreSQL. Experience handling high-volume time-series or market data, such as tick data, order books, or event streams. Familiarity with Atlas or other declarative database schema management tools. Benefits: Annual target salary range of $96,000–$192,000, depending on skills, experience, and role scope. Equity participation. Eligibility for a bonus program. Additional compensation and benefits may include a wellness allowance and, for eligible US-based employees, medical, dental, vision, and 401(k) benefits. Fully remote, full-time working arrangement. Ongoing application acceptance unless a specific deadline is announced.