Backend Engineer (Python)

As a Backend Engineer at SplitMetrics, your primary responsibilities will include building scalable high-load systems with Python, adapting our products to work efficiently with vast datasets exceeding 200-400 million records daily, and ensuring system reliability. You will be engaged in designing, building, deploying, and maintaining our products, alongside rewriting legacy systems using modern technologies. Working closely with pipelines, integration, and analytics will also be an essential part of your role.

To be considered for the Backend Engineer role at SplitMetrics, you should have excellent knowledge of Python with at least 5 years of experience, a strong grasp of raw SQL without relying on ORM, and familiarity with PostgreSQL for performance optimization. Experience in building microservice-based solutions, modern CI/CD methodologies, and the ability to enhance development processes are also crucial. A business-oriented mindset is highly valued as you will make architectural decisions with business implications in mind.

Success for a Backend Engineer at SplitMetrics is measured by the reliability of high-load services under significant data volumes, and how efficiently data is processed for analytics or product features. The observability and stability of the system, alongside its ability to scale with business needs and support product goals, are essential indicators of performance in this role.

At SplitMetrics, you can look forward to a remote-first culture that values collaboration among team members across 20+ countries. We foster a supportive and constructive environment with core values that include moving fast, getting things done, building together, and striving for transparency. Our management style emphasizes minimal micromanagement and encourages open dialogue. Company retreats and regular online events strengthen team engagement and camaraderie.

Backend Engineers at SplitMetrics enjoy a variety of benefits designed to enhance work-life balance and professional growth. This includes vacation time aligned with local regulations, additional paid time off, medical insurance or health care compensation, and paid sick leave. We also offer opportunities for continuous development through conferences, internal courses, flexible work arrangements, and a supportive environment that encourages career mobility within the company.

When answering this question, you should highlight specific projects where you utilized Python, focusing on any relevant technologies or frameworks you've worked with. Discuss the complexity of the problems you solved, your role in the projects, and any performance optimization strategies you implemented.

To effectively answer this question, describe your experience with data handling strategies, such as creating efficient data pipelines, the tools you are familiar with, and how you optimize SQL queries for performance. Mention specific examples where you handled large datasets and the outcomes of those projects.

In your response, discuss the importance of assessing the legacy system's architecture, understanding its limitations, and setting goals for the new system. Explain your approach to modernizing the technology stack, performing thorough testing, and ensuring a smooth transition without impacting existing services.

When addressing this question, focus on your experience with performance monitoring, setting up alerts, and developing strategies for load balancing. Discuss how you implement redundancy and failure recovery processes to ensure the systems remain operational during high traffic.

For this question, provide an overview of your involvement in designing and implementing microservices architectures. Discuss the advantages you see in this approach, such as scalability and maintainability, and share specific examples of how you managed inter-service communication and data consistency.

In your answer, mention particular CI/CD tools you've worked with and detail how they've streamlined your development lifecycle. Discuss the impact these tools had on deployment frequency, quality of code, and how they helped in automating testing and integration procedures.

Your answer should reflect your commitment to continued learning. Discuss resources such as online courses, webinars, or tech blogs you follow, and any relevant conferences you attend. Sharing how you implement new knowledge into your work can further demonstrate your proactive nature.

When replying to this, illustrate your systematic approach to troubleshooting, emphasizing your use of logging and monitoring tools to identify issues. Provide an example where you successfully resolved a significant issue, detailing the steps you took and the tools that were beneficial in your process.

In your response, explain your strategy for assessing project impact and urgency. Describe any tools or methods you use for task management, how you communicate with your team, and how you adjust your workflow to meet deadlines without compromising quality.

This is an opportunity to share your expertise with PostgreSQL. Discuss specific features you've utilized, performance optimization techniques you've implemented, and any complex queries or database designs you've created. Highlight your understanding of how PostgreSQL can support backend architecture effectively.