Manual QA Engineer

In 2010, two young physicists — Nikita and Anton — disrupted option market making at MOEX. Their in-house developed trading system and algorithms were making 30% of market volumes in index options in average. Later they decided to scale up to new markets. That's how Alber Blanc was started.

We are looking for a highly skilled Manual QA Engineer to join our High-Frequency Trading (HFT) team. The ideal candidate should have strong experience in testing high load systems and testing in Python. This role requires attention to detail and the ability to work in a fast-paced environment. Competitive compensation and growth opportunities offered.

Responsibilities

• Functional testing of our distributed trading system.
• Collaborating closely with the development team and internal users (traders, analysts), identifying and localizing errors and issues.
• Maintaining the bug backlog.
• Participating in release processes (optimization time-to-market, risk management).
• Setup and maintenance test environments.
• Certification (set of checks related to the exchange specifics, collection of logs).
• Test solution modelling (test design).
• Writing Python scripts as needed.

Requirements

• Advanced experience in manual testing of high-load applications.
• Strong theoretical knowledge of testing methodologies.
• Proficiency in Unix systems (Linux).
• Experience with Python/Bash scripting and SQL, Git.
• Knowledge of WebSocket and HTTP protocols.
• Understanding of REST principles.
• Analytical thinking and ability to solve complex problems, independence, responsibility, and proactive attitude, experience in trading system (integration with exchanges).
• Optional: knowledge of SBE/FIX protocols, experience with message brokers.

What we offer

• Good salary and great bonuses which depend on your results.
• Impact the business/P&L directly.
• Opportunity to collaborate directly with the founders. Work for a fast-growing company with low staff turnover.
• Become part of a team of the most talented developers, traders, and quants from top-tech universities.