Software Engineer - Market Data

Accountabilities

• • Design, develop, and scale highly available, mission-critical services supporting market data products across multiple financial asset classes.
  • Contribute to the architecture and evolution of market data systems, APIs, services, and libraries designed for scalability and reliability.
  • Help maintain cohesive developer-focused APIs covering streaming and historical market data endpoints.
  • Participate in technical planning, ideation, experimentation, and production implementation of new services and solutions to complex engineering challenges.
  • Build and maintain high-quality software with strong test coverage, clean architecture, and maintainable code.
  • Participate actively in peer code reviews and contribute to consistent engineering standards across the codebase.
  • Troubleshoot production incidents, investigate reported bugs, and implement effective solutions to improve system reliability.
  • Apply modern infrastructure, containerization, orchestration, and DevOps practices to support resilient services.
  • Collaborate with engineering peers in an Agile/Scrum environment to deliver reliable solutions and continuously improve development practices.
  • Help evaluate technical trade-offs and challenge existing conventions when better approaches can improve scalability, performance, or maintainability.

  Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
  • 3+ years of professional backend software development experience.
  • Strong software engineering fundamentals and experience building scalable backend systems.
  • Hands-on experience with Docker and/or Kubernetes, with the ability to work comfortably with modern containerized environments.
  • A strong DevOps mindset and understanding of infrastructure, deployment, reliability, and operational practices.
  • Familiarity with Agile/Scrum methodologies and collaborative software development practices.
  • Experience working with large datasets is a plus.
  • Experience with Kubernetes, with CKA or CKAD certification considered an advantage.
  • Experience with SQL, IP networking, Linux, shell scripting, and Docker is beneficial.
  • Familiarity with microservice architectures and clean code principles.
  • Experience with AWS, Google Cloud, Azure, or another major cloud platform is an advantage.
  • Understanding of financial markets and market data concepts is a plus.
  • Strong problem-solving, troubleshooting, communication, and collaboration skills.
  • Ability to work effectively in a globally distributed engineering environment with a high degree of technical ownership.

  Benefits

  • Competitive salary and stock options.
  • Health benefits.
  • One-time USD $500 home-office setup allowance for new hires.
  • USD $150 monthly stipend provided through a Brex Card.
  • Opportunity to work on high-scale financial infrastructure and market data systems.
  • Exposure to modern technologies including Go, Python, Kubernetes, Docker, Google Cloud, Bigtable, gRPC, WebSockets, SSE, Prometheus, Grafana, and ELK.
  • Opportunity to collaborate with a globally distributed team of experienced engineers, traders, and financial technology professionals.
  • High-impact engineering environment focused on scalability, reliability, developer experience, and continuous innovation.