You will be responsible for developing low latency C++ software for electronic trading in highly competitive financial markets. This involves writing efficient code using the best algorithms and data structures, as well as leveraging knowledge of x86 processor architecture and FPGA to optimize code for specific execution environments. Additionally, you will co-design and develop low latency execution algorithms with traders and FPGA developers. Your role will also include implementing application-level network protocols in C++ to connect to new trading venues. You will need to develop a deep understanding of each protocol's nuances and optimize code to gain advantages. Investigating latencies and jitter from test and production data, and fixing identified issues will be a crucial part of your responsibilities. You will design experiments to identify root causes of such issues without disrupting production environments. Furthermore, you will contribute to improving the big data infrastructure used for market simulations and post-trade analysis. This includes enhancing the capabilities of statistical learning and market-simulation logic to model a real market as accurately as possible, considering all its variances. To qualify for this role, you should have an engineering degree (B. Tech/M.Tech) in computer science, along with at least 2 years of experience in C++ coding. You must possess an expert-level understanding of C/C++, a good grasp of operating systems and networking fundamentals, and be willing to engage in system-level programming. Knowledge of multi-threaded programming concepts is essential for this position. APT Portfolio is an equal opportunity employer.,
About APT Research Pvt. Ltd. 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. The Data Management & 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. About the Role 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. 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. What You'll Do Design, prototype, and build robust data pipelines, APIs, and analytical systems using Python Own and evolve large-scale distributed systems across PostgreSQL, MongoDB, and ClickHouse Lead and mentor junior engineers while maintaining your own strong IC contributions Collaborate with product managers, researchers, and trading teams to scope and ship features Bring a systems thinking mindset — ensuring performance, monitoring, and maintainability Rapidly prototype and iterate on solutions for real-time data processing and analytics Drive best practices in software development, testing, and code reviews. What We're Looking For Strong hands-on experience with Python and data-intensive system design Deep understanding of relational and NoSQL databases, especially Postgres, MongoDB, and ClickHouse Experience with data analytics, machine learning basics, and system-level programming Exposure to or interest in trading systems, market data, or financial analytics Demonstrated ability to lead technical projects and mentor engineers Strong fundamentals in system design, performance tuning, and software architecture Ability to balance long-term technical vision with quick prototyping and agile execution Bonus Points For Prior experience in fintech, quantitative research, or high-frequency trading environments Familiarity with C++, Kubernetes, full stack development, or CI/CD tooling Strong opinions on architectural choices — but humble enough to change them Past experience managing small to mid-sized engineering teams or projects Why Join Us? Work as part of a team building real-world, high-performance software from the ground up. Deep exposure to the intersection of data, research, and financial markets Opportunity to influence technical direction and build domain expertise across stacks Culture of intellectual rigor, hands-on ownership, and constant iteration