MachineSP (https://www.machinesp.com/) is a fast growing mortgage-backed securities (MBS) fintech company with a client list that includes most of the largest banks and hedge funds in the industry.
We’re seeking Software Engineers to join our growing engineering team. You’ll help design, build, and maintain scalable systems that power our industry-leading data analytics platform supporting both buy-side and sell-side participants in the MBS market.
You’ll work in a modern cloud environment, collaborating with experienced engineers and domain experts to deliver robust, high-performance applications that provide insight and transparency into complex financial instruments.
Our engineering team makes extensive use of AI tools — including Claude Code, OpenAI, Gemini, Warp, and GitHub Copilot — to accelerate development, testing, and data workflows, giving you the opportunity to work at the forefront of applied software and AI integration.
ClickHouse skills a strong plus. Prior experience in mortgage-backed securities or financial technology is not required, but a plus for candidates interested in applying their technical skills to the capital markets domain.
Responsibilities: - Design, develop, test, and deploy backend applications and APIs. - Build and maintain scalable systems in an AWS environment (EC2, Lambda, S3). - Optimize databases and data pipelines; write clean, efficient Python code. - Work closely with engineers and domain experts to implement analytics solutions.
Qualifications: - 3–7 years of professional software development experience. - Strong programming skills in Python and experience developing and deploying applications in cloud environments. - Solid understanding of database design, query optimization, and RESTful APIs. - Excellent analytical, problem-solving, and collaboration skills.
Why Join Us: - Work on challenging and impactful problems in fintech analytics and capital markets. - Collaborate with a supportive, highly skilled engineers and domain experts. - Gain hands-on experience with large-scale financial data systems and AI-powered workflows. - Competitive compensation, benefits, and growth opportunities.