Software Engineer

About Us 

MarketAxess is on a journey to digitally transform one of the world’s largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one’s ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we’re going. How we get there is up to us. Join us and help Take Us There. 

The Role

We're looking for a Software Engineer to join our Data Products team and help shape how critical Fixed Income data is built, managed, and delivered — to external clients and partners around the world. A key part of the role is evolving client-facing web UIs that make these data products easy to discover, understand, and use. You'll work on delivering high-quality data products that clients depend on for trading and analytics, from backend to frontend, as well as from ingestion to analytics and distribution. If you're curious about financial markets, enjoy solving hard problems end-to-end (from UI to data), and want to own something that reaches beyond the firm's walls, this role is for you. 

How You'll Help Take Us There

Web UI: 

• Own and evolve client-facing web frontends built with AngularJS and JSP; modern JavaScript or React experience is a plus. 
• Build and maintain backend data services required by those frontends, including analytics, caching and other integrations. 
• Partner with data platform, information security, QA and test automation engineers to deliver and maintain  intuitive, secure and compliant workflows for internal and external data discovery and consumption. 

Data Engineering & Integration: 

• Design and build data pipelines for ingestion, transformation, and distribution using Java, Python, and SQL. 
• Implement asynchronous and concurrent patterns for high-throughput systems. 
• Work with streaming technologies — Kafka and JMS — for real-time and event-driven data delivery. 
• Primarily use Java to build these pipelines but also Python data libraries (Pandas, Polars, NumPy) for data wrangling and exploratory analysis where applicable. 

Data Products & Reference Data: 

• Contribute to instrument, market data and general reference data pipelines— helping establish a trusted, authoritative source for Fixed Income reference data delivered to clients. 
• Build and maintain data products that external clients and partners rely on — quality, reliability, and timeliness. 

Cloud & Infrastructure: 

• Build and maintain AWS-based data products using, among other services: ECS / EKS, Step Functions, S3, Athena, Aurora, MSK and CloudFormation. 
• Follow security and observability best practices — IAM, KMS encryption, CloudWatch, Grafana. Apply and maintain strict cost management best practices, including optimizing data storage strategies (partitioning, bucketing) for performance and cost. 

Software Engineering & CI/CD: 

• Contribute to automated build, test, and deploy pipelines using Jenkins, Bitbucket, and GitHub.
• Write clean, modular, well-tested code — unit and integration tests are part of the definition of done.
• Instrument systems with monitoring and alerting; own the reliability of what you ship.  

Collaboration & Innovation: 

• Partner closely with Development, Product, and Infrastructure teams — and stay mindful of the client experience your work supports.
• Leverage AI-assisted development tools (e.g., GitHub Copilot) to work smarter and move faster.
• Bring intell