Bullish

Bullish

Lead Software Engineer, BTH Engineering

New York

Sponsorship not specified$250k-$280kDetected 6 days ago
TypeScriptPythonReactFull-Stack DevelopmentCode ReviewGitPostgreSQLBigQueryGCPCloud PlatformsDockerKubernetesTerraformCI/CDGitHub ActionsDevOpsLLMsTest AutomationCommunicationMentoring

About the role

  • Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar.
  • CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries.
  • CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics.

Responsibilities

  • Build Full-Stack Solutions: Design and develop critical internal applications using React, TypeScript, and Python.
  • Own Modern Cloud Infrastructure: Deploy and manage systems end-to-end on GCP and Kubernetes, driving automated CI/CD pipelines via GitHub Actions, while leveraging tools for Infrastructure-as-Code (Terraform, Config Connector).
  • Drive AI-Powered Engineering: Heavily leverage AI tooling and coding agents to accelerate full-stack development.
  • Drive the evolution of the platform's target-state architecture, staying current with industry trends to ensure continuous improvement.
  • 10+ years building production systems in financial services or other high-stakes environments.
  • An 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.
  • Design and develop critical internal applications using React, TypeScript, and Python.

Requirements

  • Proven track record of managing and mentoring high-performing engineering teams, with a focus on career development and technical guidance.
  • 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.
  • Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to technical and non-technical stakeholders across global teams.
  • A can-do attitude, with the ability to work independently and collaboratively in a fast-paced environment.
  • Ability to use Large Language Models (e.g., Claude, Gemini) to accelerate delivery without compromising engineering standards.

Skills

  • Director, Engineering
  • Engineering Organization & Culture

Compensation

  • The anticipated base salary for this position is $250,000 - $280,000 + discretionary annual target bonus + performance incentives/benefits.
  • Offered salary will be reflective of job related knowledge, skills and commensurate experience.

Benefits

  • Bullish US LLC & CoinDesk Inc. are committed to offering competitive compensation and benefits.

Company info

  • BTH Engineering
  • The Bullish Treasury (BTH) Engineering team develops the foundational infrastructure that powers the secure management and rapid expansion of our digital asset ecosystem.
  • As stewards of the firm's digital treasury, we ensure every transaction is meticulously safeguarded through rigorous custody protocols, advanced vault architectures, and strict authorization rules.
  • Our engineers tackle complex on-chain challenges to build automated DeFi workflows, resilient privacy structures, and transparent, real-time financial intelligence dashboards.
  • By solving intricate blockchain integration problems with cutting-edge tooling, we deliver the operational rigor required to navigate decentralized markets and provide total data integrity from institutional exchange accounts to comprehensive treasury analytics.
  • We are fast evolving and striving towards being a globally-diverse community.

Equal opportunity

  • Bullish is proud to be an equal opportunity employer.
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This listing is sourced directly from Bullish's careers page and normalized into a canonical job model.