Senior Software Engineer - Trade Automation & Execution

Our Team

The Trade Automation & Execution group builds the platforms and services that power modern electronic trading at Bloomberg. We design and operate high-performance, distributed, real-time systems used by financial institutions worldwide to execute trades, automate workflows, and make data-driven decisions.

Our work spans execution management, trading automation, connectivity, and analytics—supporting millions of transactions daily and integrating with thousands of market destinations. As markets evolve toward automation, scale, and intelligence, we’re re-architecting our systems to deliver the next generation of fast, reliable, cloud-ready trading technology.

What’s in it for you:

• Build and enhance low-latency, high-throughput distributed systems that support real-time trading.
• Design and implement services that power automation, analytics, and execution workflows across asset classes.
• Work with technologies such as Kafka, Flink, Redis, Cassandra, Docker, and Kubernetes.
• Contribute to cloud-native architectures and scalable, fault-tolerant systems.
• Collaborate with engineers across Bloomberg on observability, system design, integration, and performance optimization.
• Gain deep exposure to global financial markets and how traders use data and automation to make decisions.

You’ll need to have:

• 5+ years of professional experience in backend programming in an object-oriented language (C++, Java, or Python), preferably on UNIX/Linux.
• Strong knowledge of data structures, algorithms, and scalable software design and architecture.
• Experience with distributed systems, multi-threading, or performance-sensitive applications.
• A solid understanding of the full software development lifecycle, including design, implementation, testing, and deployment.
• Excellent communication and collaboration skills.
• A degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent experience).

We’d love to see:

• Hands-on experience in a real-time, high-volume environment.
• Familiarity with distributed or streaming frameworks such as Kafka, Flink, Redis, or Cassandra.
• Exposure to cloud-native development, Docker, and Kubernetes.
• Experience building stateful or transactional systems with an emphasis on reliability and scalability.
• Experience in system design, testing, and Agile development.
• A proactive mindset, curiosity to learn new domains, and willingness to take ownership of projects end-to-end.

Why Trade Automation & Execution:

You’ll be part of a team that directly impacts how markets operate every day. Whether you’re building execution algorithms, optimizing infrastructure for latency and scale, or delivering analytics that empower smarter trading decisions, your work will shape the future of automated trading.

If you’re excited by real-time systems, automation, and solving challenging engineering problems that have real-world impact, we want to talk to you!