Python Backend Engineer

As a Python Backend Engineer at Capital.com, you'll be responsible for developing and optimizing backend systems that power our trading platform. Your main duties will include ensuring the security, scalability, and performance of our systems, collaborating with various teams to deliver a seamless user experience, and continuously enhancing our product’s capabilities. You’ll also be involved in implementing best practices in coding and system design, contributing to the overall success of the company.

To qualify for the Python Backend Engineer role at Capital.com, candidates must have a strong background in Python programming, demonstrating proficiency in associated frameworks like Flask and FastAPI. Experience in FinTech, Banking, or related fields is essential, along with a solid understanding of distributed applications. Knowledge of SQL, Git, Docker, and cloud platforms like AWS or Azure is highly valued. A real passion for trading technology will set you apart and make your application stand out!

The ideal candidate for the Python Backend Engineer position at Capital.com should possess strong programming skills in Python, particularly in RESTful API development. Familiarity with database management systems like PostgreSQL, cloud services, and continuous integration/continuous delivery (CI/CD) practices is important. Additionally, understanding event-driven architectures and containerization methods like Docker will enhance your capabilities in this role, ensuring our systems remain agile and resilient.

In addition to solid technical abilities, soft skills are equally important for a Python Backend Engineer at Capital.com. Effective communication is essential for collaborating across teams, while analytical thinking is crucial for problem-solving complex issues. Adaptability to rapid changes in technology and business requirements showcases your flexibility. Taking ownership and demonstrating accountability in your work will also be key traits that the team values highly.

At Capital.com, as a Python Backend Engineer, you can expect significant opportunities for career growth. Our company prioritizes innovation and creativity, encouraging team members to take initiative. With access to training and mentorship, you will be well-supported on your journey within the rapidly evolving FinTech industry. Regular performance reviews and the potential for an annual bonus based on achievements will also motivate you to excel and advance in your career.

When answering this question, highlight specific projects where you've effectively utilized Python. Discuss frameworks you've used, such as Flask or FastAPI, and explain how they've contributed to project success. Share insights about your coding practices, efficiency improvements, and any challenges faced during development to demonstrate your problem-solving skills.

Discuss your approach to system architecture, such as using load balancing, caching strategies, and database optimization techniques. Be prepared to explain situations where you scaled applications to accommodate increased demand. Mention specific tools or methodologies that you're familiar with, including cloud services and distributed systems.

You could mention practices such as data encryption, ensuring secure API endpoints, and validating inputs to protect against common vulnerabilities. Discuss the importance of regular security audits, using third-party libraries cautiously, and your experience with security authentication methods, such as OAuth or JWT.

Select a relevant problem that showcases your analytical thinking and problem-solving skills. Outline the steps you took to identify the issue, the research and tools you employed to address it, and the ultimate outcome. Highlight how your solution impacted the project positively.

Discuss your experience with CI/CD pipelines, focusing on tools and practices you've implemented, such as GitFlow, Jenkins, or Docker. Share specific examples of how your contributions improved the deployment process, reduced downtime, and enhanced product delivery.

Talk about your familiarity with SQL and relational databases like PostgreSQL. Explain your approach to writing efficient queries, including indexing strategies, and any specific optimizations you’ve implemented to enhance database performance.

Discuss the resources or communities you engage with, such as online courses, forums, blogs, or conferences. Show enthusiasm for continuous learning and how you apply new knowledge to improve your work.

Emphasize the importance of collaboration in engineering roles. Talk about how you communicate with cross-functional teams, share knowledge, and accommodate feedback. Provide examples of successful teamwork experiences that led to achievements.

Outline a systematic approach to troubleshooting, starting with data collection to understand the problem. Discuss methodologies for isolating issues, using logs and monitoring tools, and following through a structured process to identify root causes.

List specific coding standards you've adhered to, such as writing clean, commented code, using version control effectively, and performing code reviews. Demonstrate your understanding of maintainability and its importance in team projects.