Python Developer/ Senior Python Developer
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Before you apply
LocationDelhi
Typefull-time
SeniorityLead
DepartmentCore Engineering
Company size1+ people
PostedOct 27, 2022 · 4y ago
Verified live19h ago
May no longer be actively hiring
Posted by the company on Oct 27, 2022
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
PostgreSQL
MongoDB
ClickHouse
C++
Kubernetes
About the company
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