Python Backend Engineer

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Python Backend EngineerJoin us as a skilled Python Backend Engineer to develop and optimize backend systems, ensuring robust, scalable, and secure client experience.
Description:
We are a leading trading platform that is ambitiously expanding to the four corners of the globe.
Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience.
We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
Our Backend Engineering team plays a pivotal role in ensuring the robustness, speed, and security of our Product.
Dedicated to enhancing performance, providing a best-in-class user experience, ensuring compliance, and safeguarding data, the team's efforts directly impact our ability to offer clients a seamless and secure trading journey.
We are seeking a skilled Python Backend Engineer to join our growing team.
You will be responsible for developing and optimizing our backend systems that power our Product.
You will work closely with cross-functional teams to ensure the reliability, scalability, and security of our systems, with a focus on enhancing the performance and user experience for our clients.
Experience & Domain Knowledge:
Backend:
Strong understanding of distributed applications and client-server model.
Financial Applications Proficiency:
Experience in FinTech, Banking, or similar areas is a must.
Scalability Technologies:
Knowledge about technologies that allow for platform scaling to handle sudden influxes of user activities or transactions.
High-Performance Platforms:
Experience in designing, building, and optimizing high-performance systems is a plus.
Security:
Knowledge of potential threats and security measures for transactional data is a plus.
Technical skills:
Python:
Strong experience with Python and satellites (Flask, Requests, FastAPI, REST-Api, peewee, pandas).
Database Mastery:
Strong SQL knowledge (PostgreSQL).
Version Control & Development Practices:
Proficiency in Git Flow, Docker containerization, TDD/BDD.
Operational Proficiency:
Understanding and hands-on experience in SDLC, Kubernetes, pipelines, CI/CD patterns and strategies, ongoing support (Grafana, Kibana).
Cloud Platforms:
Understanding of the Cloud Native applications principles and basic knowledge of resources and use cases for public cloud (AWS, Azure, and GCP).
Events streaming:
Understanding of the event driven architecture (Kafka or similar solutions).
Business level proficiency in English or above (equivalent to B2 or above in CEFR).
Soft skills:
Communication:
Effective communication skills, especially with teams responsible for security, operations, and product.
Analytical thinking:
Ability to tackle and investigate complicated problems and convert them to the task.
Adaptability to Rapid Changes:
Demonstrated capability to adjust to quick technological shifts and evolving business requirements.
Ownership and Accountability:
Readiness to take ownership of tasks, and issues as well as demonstrate accountability for the results and outcome.
Nice to have:
Trading Systems:
This would be a plus to have experience in developing core trading services, implementing real-time financial trading services, risk-based calculation algorithms, and designing low-latency, high-availability service.
Crypto:
Understanding and practical experience of blockchain fundamentals and platforms.
Performance:
Knowledge of JVM perfo.