Software Engineer

About us.

Trumid 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, Trumid 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 890+ buy-and sell-side institutions transact on Trumid 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 Trumid.

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 Trumid, you must be curious, passionate about your craft, ambitious, collaborative, and driven.

The opportunity.

Joining Trumid as a software engineer means being part of a small, highly productive, and efficient team. As a Python Software Engineer on our Data and AI team, you’ll work alongside world-class engineers, data scientists, and quants to build the core analytics infrastructure that drives our trading platform. From deploying machine learning models to optimizing real-time systems, your contributions will directly impact the efficiency and scalability of our operations. This is an opportunity to work in a fast-paced, cutting-edge environment and be a key player in shaping the future of our platform.

You Will:

• Be recognized as top developer talent, driving exceptional results and continuously pushing the boundaries of what’s possible in the Python ecosystem.
• Architect, develop, and maintain robust, scalable software that powers Trumid's analytics and trading operations, handling millions of data points in real-time.
• Collaborate closely with machine learning engineers, quantitative researchers, and cross-functional teams to build systems that optimize performance for real-time trading and analytics.
• Lead the entire software development lifecycle, from concept and design to testing and deployment, ensuring maximum speed, scalability, and security of applications.
• Integrate advanced models and algorithms into production, with a focus on reliability, efficiency, and real-world applicability.
• Mentor and support junior engineers, fostering a collaborative and high-performance engineering culture.

Responsibilities:

• Solve complex problems and enhance our trading infrastructure to support high-performance, low-latency trading systems.
• Develop and optimize data pipelines and distributed computing environments to handle large-scale financial data.
• Ensure the seamless integration of machine learning models into production environments, collaborating with the Data Science and Quant teams to streamline workflows.
• Maintain a focus on continuous improvement, regularly enhancing the performance and functionality of our systems.

About you.

• Minimum of 4+ years of professional experience in software engineering, with a focus on Python in a data-intensive or system development setting.
• Strong proficiency in Python and at least one compiled programming language (e.g., C++, Java).
• Proven ability to design and implement scalable solutions that integrate well into distributed systems.
• Solid grasp of algorithms, data structures, and software design principles.
• Experience with Docker, relational and NoSQL databases, as well as data processing techniques (e.g., ETL, stream processing).
• Good knowledge of Git and CI/CD best practices.

Nice to Have Skills:

• Experience with financial markets and low-latency trading systems.
• Familiarity with Google Cloud Platform (GCP) and Kubernetes.
• Experience with distributed computing frameworks such as Apache Spark or Dask.
• Knowledge of distributed streaming platforms like Apache Kafka.
• Exposure to machine learning techniques and large-scale data processing.

Why Trumid?

At Trumid, we believe in fostering a collaborative environment where engineers work hand-in-hand with data scientists, quants, and other teams to deliver high-impact solutions. Your peers will challenge you to grow, and you'll mentor others, contributing to a culture of continuous learning. If you're passionate about applying your Python expertise to tackle complex challenges, thrive in a fast-paced environment, and are excited about shaping the future of corporate bond trading through advanced analytics and AI, we’d love to hear from you.

Employee benefits.

• Highly competitive compensation
• Fully paid medical, dental and vision coverage
• Team-oriented and collaborative company culture

In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $200,000 and $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.