Senior Software Engineer (Trading Systems)

About us.

The company is a dynamic fintech revolutionizing the landscape of fixed income trading. With intelligent, easy-to-use, electronic solutions, we are rapidly growing and seeking exceptional talent to help redefine the boundaries of technology and finance.

Founded in 2014 by a team of fixed income market experts, the company has quickly become one of the top three corporate bond e-trading platforms in the U.S. Today, over 1,300 traders from an extensive and expanding client network of 1,000+ buy- and sell-side institutions transact on the company monthly.

With a rich history of innovation and a unique ability to innovate at scale, we collaborate closely with our clients, iterating quickly toward optimal solutions. With market share and client engagement at all-time highs and our pace of product development faster than ever, this is an exciting and transformative time at the company.

Our business model thrives on participation, and so does our company culture. We rely on every team member's contribution to help us accomplish our goals. To succeed at the company, you must be curious, passionate about your craft, ambitious, collaborative, and driven. Learn more at [link for members]

The opportunity.

Join our team as a Senior Software Engineer , building the trading systems at the core of our platform. We have recently been migrating critical trading workflows onto Aeron-based sequenced-log architecture and this role sits at the heart of that platform: you will join one of the teams running services on top of it, matched to the team that best fits your strengths and interests during the interview process.

We are also an AI-native engineering organization: the majority of our pull requests are AI-written and AI-reviewed, supported by in-house agent tooling built directly into our monorepo, so engineers spend their time on design, correctness, and leverage rather than boilerplate.

We are looking for an engineer with a background in capital markets, trading workflows, or electronic trading systems. You have strong skills in system design, you focus on observability and testing, and you leverage AI to move faster without sacrificing quality. Within your first six months, you will tackle key projects such as:

• Feature Expansion: Ship new trading protocol capabilities at high velocity on our Aeron-based platform, supporting a growing client base and increased trading volumes.

• Platform Modernization: Evolve our service architecture — migrating remaining workflows onto the new stack and designing the messaging patterns that connect it to the rest of the platform.

• System Optimization: Improve platform scalability, performance, and test coverage for systems where correctness is the product.

Responsibilities include

• Design, Develop and Test: Build protocols and features to meet functional and non-functional requirements.

• Support and Maintain: Ensure the reliability and availability of services developed by the team, addressing production issues and continuously improving operational processes.

• Optimize Performance: Improve system performance for low latency and high throughput, crucial in trading systems.

• Collaborate: Work with cross-functional teams to execute projects and contribute to a team-oriented culture.

About You.

We’re seeking an engineer with experience in financial services, trade workflows, or electronic trading systems. Your qualifications include:

• Location: U.S., EST Time Zone

• Industry Experience: 7+ years of experience in software engineering, preferably in capital markets or trading workflows.

• Programming Skills: Proficiency in JVM-based languages (Scala preferred); ability to write clean and maintainable code.

• Distributed Systems: Experience in designing, implementing, and maintaining scalable systems.

• Network Protocols & Messaging: Familiarity with technologies such as TCP/IP, FIX, Kafka, or Aeron.

• Cloud Technologies: Hands-on experience with Kubernetes and Docker.

• AI-Assisted Development: Ability to effectively use AI-assisted development tools (e.g. Claude Code) to accelerate delivery and improve quality while maintaining strong engineering judgment.

• Performance Optimization: Understanding of low latency, high-throughput systems.

• SDLC Practices: Familiarity with Software Development Life Cycle (SDLC) methodologies, including agile practices and CI/CD pipelines.

• Continuous Improvement: Commitment to delivering high-quality solutions.

More About Us and our Tech Stack.

• Languages and Frameworks : We primarily use Scala with ZIO, Pekko and gRPC.

• Messaging Technologies : Our messaging systems include Kafka and Aeron.

• Containerization and Orchestration : We rely on Kubernetes and Docker to build, deliver, and scale containerized services.

• AI-Native Engineering: Agent tooling, automated review, and AI-assisted workflows are built into our development platform.

• Company Culture : We value a collaborative team environment where your technical views and leadership abilities are highly appreciated.

Employee Benefits.

• Highly competitive compensation

• Fully paid medical, dental and vision coverage

• Team-oriented and collaborative company culture

• Remote first

In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $175,000 – $250,000. This range does not include discretionary bonus or other forms of compensation or benefits offered in connection with this job. Several factors are considered when determining a candidate’s compensation. Please note that the salary range listed for this position is based on the level of experience outlined in the job description. If a candidate’s experience differs from the requirements, the salary may be adjusted accordingly.

The company is an equal opportunity employer.

Please note: All communication from the company’s recruiting team comes from @the company.com email addresses. We conduct remote interviews via Zoom only. We will never ask you to purchase equipment, download software (other than Zoom), or share sensitive personal information during the hiring process.