Senior Software Engineer, Clearing Engineering

Bullish•New York, NY

9d•$180,000 - $230,000

About The Position

The Clearing Engineering Team builds the mission-critical infrastructure for Bullish Clearing. We mitigate systemic risk through automated default management and ensure operational integrity via high-precision data validation. Our proprietary netting algorithms drive capital efficiency and market velocity, reducing liquidity requirements while accelerated settlement cycles provide participants with faster access to funds. We solve complex distributed systems challenges on a modern cloud-native stack, rejecting "good enough" in favor of the engineering rigor required to operate within highly regulated jurisdictions.

Requirements

6+ years of engineering experience supporting front office trading systems at a regulated financial institution.
Advanced Java proficiency.
Implementation experience with middleware, specifically Aeron and Kafka.
Expertise in designing clean data structures, event schemas, and database models.
Proficiency managing both SQL and NoSQL data stores (e.g., Postgres, Redis, MongoDB).
Deep understanding of testing methodologies and SDLC best practices, including Twelve-Factor App, distributed HA/DR strategies, and hexagonal architecture.
Ability to use Large Language Models (e.g., Claude, Gemini) to accelerate development without sacrificing engineering standards.
A strong sense of ownership and an outcome-oriented mindset.
Agility to thrive in a dynamic startup environment.
Commitment to a collaborative culture, evidenced by active mentorship and knowledge sharing.

Nice To Haves

Proficiency with cloud and DevOps ecosystems (e.g., AWS, GCP, Kubernetes, Docker) and workflow orchestration (e.g., Airflow, DBT).
Knowledge of FIX and FIXML protocols.
Familiarity with big data management and data lake ecosystems (e.g., Databricks, Snowflake, BigQuery).
Experience with BI tools for data visualization (e.g., Tableau, Superset).

Responsibilities

Design, build, and maintain high-performance microservices and stream processing pipelines for Risk Management, Regulatory Reporting, and Clearing.
Architect scalable infrastructure to efficiently ingest and transform market data feeds.
Apply a deep understanding of the trade lifecycle—from capture and netting to settlement—to optimize data models and workflows.
Guarantee system resilience by prioritizing high availability, disaster recovery, and data freshness alongside functional requirements.
Champion engineering excellence, enforcing high standards for code quality, test automation, and SDLC best practices.
Identify and resolve functional bottlenecks and cost inefficiencies through continuous performance profiling.
Collaborate with global teams (HK, NY)—including Product Managers, Quants, and Risk Managers—to distill complex requirements into clear technical specifications.
Drive the evolution of the platform’s target-state architecture, staying current with industry trends to ensure continuous improvement.