Python Developer/ Senior Python Developer

<div> <p>About APT Research Pvt. Ltd.<br><br>APT Research is the research and data analytics arm of APT Portfolio, a quantitative investment firm that thrives on cutting-edge technology, scientific thinking, and deep market insight. We are a team of scientists, engineers, and innovators powering algorithmic trading and financial research at scale. Learn more at www.aptportfolio.com.</p> <p>The Data Management &amp; Research (DMR) team plays a pivotal role in building high-performance systems, storage, distributed computing systems, research infrastructure, and pipelines that process, store, and analyze market data across global exchanges, enabling the firm's trading decisions and investment strategies.<br><br><strong>About the Role</strong><br><br>We are looking for a Senior Software Engineer / Tech Lead to join our DMR team — a self- driven engineer who enjoys solving hard problems, building scalable systems, and mentoring others while remaining deeply hands-on with code.</p> <p>This role blends individual technical depth with people and project leadership, making it ideal for someone who thrives in a fast-paced, analytical environment and wants to contribute across the stack — from systems architecture to production deployments.</p> <p><strong>What You’ll Do</strong><br><br>· &nbsp; &nbsp; &nbsp; &nbsp;Design, prototype, and build robust data pipelines, APIs, and analytical systems using Python</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Own and evolve large-scale distributed systems across PostgreSQL, MongoDB, and ClickHouse</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Lead and mentor junior engineers while maintaining your own strong IC contributions</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Collaborate with product managers, researchers, and trading teams to scope and ship features</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Bring a systems thinking mindset — ensuring performance, monitoring, and maintainability</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Rapidly prototype and iterate on solutions for real-time data processing and analytics</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Drive best practices in software development, testing, and code reviews.</p> <p><strong>What We’re Looking For</strong><br><br>· &nbsp; &nbsp; &nbsp; &nbsp;Strong hands-on experience with Python and data-intensive system design</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Deep understanding of relational and NoSQL databases, especially Postgres, MongoDB, and ClickHouse</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Experience with data analytics, machine learning basics, and system-level programming</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Exposure to or interest in trading systems, market data, or financial analytics</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Demonstrated ability to lead technical projects and mentor engineers</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Strong fundamentals in system design, performance tuning, and software architecture</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Ability to balance long-term technical vision with quick prototyping and agile execution</p> <p><strong>Bonus Points For</strong><br><br>· &nbsp; &nbsp; &nbsp; &nbsp;Prior experience in fintech, quantitative research, or high-frequency trading environments</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Familiarity with C++, Kubernetes, full stack development, or CI/CD tooling</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Strong opinions on architectural choices — but humble enough to change them</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Past experience managing small to mid-sized engineering teams or projects</p> <p><strong>Why Join Us?</strong><br><br>· &nbsp; &nbsp; &nbsp; &nbsp;Work as part of a team building real-world, high-performance software from the ground up.</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Deep exposure to the intersection of data, research, and financial markets</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Opportunity to influence technical direction and build domain expertise across stacks</p> <p>· &nbsp; &nbsp; &nbsp; &nbsp;Culture of intellectual rigor, hands-on ownership, and constant iteration</p> <p>&nbsp;</p> </div> <p>&nbsp;</p>