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Senior Software Engineer, Clearing Engineering

Job in New York, New York County, New York, 10261, USA
Listing for: Bullish, Inc.
Full Time position
Listed on 2026-07-17
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 230000 USD Yearly USD 180000.00 230000.00 YEAR
Job Description & How to Apply Below
Location: New York

About Bullish:
Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include Bullish Exchange—a regulated, institutionally focused digital assets spot and derivatives exchange that is regulated in Germany, Hong Kong, and Gibraltar. Coin Desk Indices: a collection of tradable proprietary and single‑asset benchmarks and indices that track the performance of digital assets for global institutions.

Coin Desk Data: a broad suite of digital assets market data and analytics providing real‑time insights into prices, trends, and market dynamics. Coin Desk Insights: a digital asset media and events provider and operator of

Reports to:

Director, Engineering. Engineering Organization & Culture:
At Bullish, we are engineering the institutional standard for the digital asset industry. Our mission is to build a platform centered on security and compliance, requiring a commitment to technical excellence that extends beyond simply delivering code. We value engineers who treat development as a craft, own the outcome from concept to deployment, and bring structure to ambiguity while shaping the frameworks that support our global organization.

Team:
Clearing Engineering

The Clearing Engineering Team builds the mission‑critical infrastructure for Bullish Clearing, mitigating systemic risk through automated default management and ensuring operational integrity via high‑precision data validation.

What You’ll Do
  • 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.
What You’ll Bring
  • 6+ years of engineering experience supporting front‑office trading systems at a regulated financial institution.
  • Advanced Java proficiency, with implementation experience using middleware such as Aeron and Kafka.
  • Expertise in designing clean data structures, event schemas, and database models.
  • Proficiency managing both SQL and No

    SQL 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 Dev Ops 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, Big Query).
  • Experience with BI tools for data visualization (e.g., Tableau, Superset).
Compensation & Benefits

The anticipated base salary for this position is  180,000 –  230,000 + discretionary annual target bonus + performance incentives/benefits.

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.

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Position Requirements
10+ Years work experience
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