PYTHON SOFTWARE ENGINEER (Junior / Fresher)

- Build and maintain backend services, automation scripts, and internal tools using Python.

- Work with structured and unstructured data — ingestion, transformation, validation, and storage.

- Write clean, maintainable, and modular code using Object-Oriented Programming (OOP) principles.

- Assist in optimizing performance, reliability, and scalability.

- Collaborate with researchers to translate ideas into runnable systems.

- Actively use AI tools (ChatGPT, Claude, GitHub Copilot, etc.) for coding, debugging, documentation, and design.

- Participate in code reviews, knowledge sharing, and engineering improvements.

- Learn and adapt to modern DevOps practices (Git, Docker, CI/CD, cloud or container platforms). REQUIRED SKILLS &

- Graduating or graduated in Computer Science, Software Engineering, or related fields.

- Interest in Python programming (projects, internships, or GitHub portfolios count).

- Good understanding of OOP concepts and writing clean, structured code.

- Eagerness to use AI tools to improve software development speed and quality.

- Interest in backend development (FastAPI, Django, or Flask is a plus, not required).

- Basic knowledge of databases (SQL or NoSQL).

- Strong logical thinking and problem-solving mindset.

- Good communication and willingness to learn fast in a highly technical environment. BONUS (NOT REQUIRED)

- Built side projects in Python (servers, crawlers, automation, APIs, data processing, bots, etc.).

- Familiar with Git, Docker, Kafka, Redis, or PostgreSQL.

- Familiar with cloud platforms (AWS / GCP) or Linux environments.

- Interest in finance, algorithmic trading, or quantitative systems.

- Experience using AI tools to write or review code. AI‑ASSISTED DEVELOPMENT EXPECTATIONS We encourage engineers to leverage AI in their workflows. You will be expected to use AI tools to:

Generate and improve code - Debug and test - Document logic and APIs - Design system architecture and workflows At the same time, you must validate correctness, maintain code quality, and think critically beyond AI output.

WORKING HERE

- Competitive salary and growth-oriented environment

- Hands-on experience with real financial and AI‑driven systems

- Work with mentors from engineering and quantitative backgrounds

- Modern tech stack and engineering culture

- Flat structure — direct collaboration with core team

- Flexible work hours with supportive learning environment

- Company‑provided hardware and development setup