Senior Engineer, Post-trade Brokerage Engineering

Senior Engineer, Post-trade Brokerage Engineering

What You’ll Do

• Design and build high-availability Java/Micronaut services across our post-trade and analytics platforms, with Python and BigQuery for data workloads

• Deliver the statements, confirmations, and reconciliations that institutional clients rely on as their source of truth

• Meet ongoing regulatory reporting commitments and extend coverage as the firm enters new jurisdictions

• Own production systems end-to-end with clear SLOs, automated CI/CD, monitoring, and incident response

• Apply trade-lifecycle expertise to design event schemas and data models where reconciliation, idempotency, and auditability are first-class concerns

• Partner with Trading Engineering, Compliance, Risk, and Finance across global teams to translate regulatory and business requirements into production systems

• Raise the bar through code reviews, TDD, and mentorship

• What You’ll Bring

• 5+ years building production systems in financial services or another high-stakes, regulated environment

• Strong fundamentals across backend and data technologies, with the judgment to pick the right tool for the job (Java, Python, or otherwise)

• Strong PostgreSQL skills, comfort with analytical stores (BigQuery or equivalent), and a track record of designing clean schemas and data models

• Proven delivery of fault-tolerant systems with rigorous testing, observability, and HA/DR practices

• A test-driven, agile working style, with the initiative to see what’s broken or missing and own the fix end to end rather than waiting for an assignment

• Ability to use Large Language Models (e.g., Claude, Gemini) to accelerate delivery without compromising engineering standards

• Ability to convey complex technical concepts to technical and non-technical stakeholders across global teams

• Degree in Computer Science, Engineering, or a related field (or equivalent professional experience)

• Nice to Haves

• Cloud and DevOps fluency (e.g., GCP, Kubernetes, Docker)

• Hands-on experience with event-driven architectures and middleware such as Kafka and Aeron

• Familiarity with big-data ecosystems (e.g., BigQuery, Snowflake, Databricks) and workflow orchestration (e.g., Airflow, DBT)

• Familiarity with front-end technologies (e.g., React, TypeScript)

• Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.