Senior Full-Stack Engineer: Viewstats

As a Senior Full-Stack Engineer at Viewstats, your key responsibilities will include designing and building core backend architecture, implementing OAuth integrations, and developing robust payment processing systems. You will also create algorithms for anomaly detection, optimize data stores for high-volume tracking, and design secure APIs. Collaborating closely with frontend developers and participating in architectural decisions are also critical parts of your role, ensuring everything flows seamlessly together.

To qualify for the Senior Full-Stack Engineer position at Viewstats, you need over 5 years of production backend system experience, particularly with Python, FastAPI, and major backend frameworks like Node.js or Django. Experience with both SQL and NoSQL databases, implementing third-party API integrations, and familiarity with AWS serverless architecture are also essential. A passion for real-time data processing and security best practices is vital in this role.

At Viewstats, the tech stack includes Node.js with TypeScript for the backend, DynamoDB for the database needs, and AWS services like Lambda and API Gateway. For the frontend, we use React with TypeScript. Familiarity with Docker and CI/CD pipelines will also fit well within our environment, as we are continuously exploring cutting-edge technologies to enhance our platform.

The Senior Full-Stack Engineer's contributions are vital to Viewstats' growth, as you will be responsible for building scalable systems that support our rapid expansion in social media platforms. By designing sophisticated backend systems and ensuring seamless integrations, you'll directly impact the user experience and engagement, helping to shape the future of content creation and data analytics for a massive audience.

As a Senior Full-Stack Engineer at Viewstats, you have abundant opportunities for career development. By working closely with top-tier creators and innovative technologies, you'll gain immense hands-on experience. You will also be encouraged to take part in architectural decisions and explore various aspects of system design and data analytics, enabling you to broaden your skills and secure your place as a leader in the field.

In your response, outline the specific challenges such as handling significant scale, integration with multiple APIs, or ensuring data security. Discuss your approach, the technologies you used, and the eventual outcomes. Highlighting robustness, scalability, and how it benefited end-users will showcase your expertise.

Explain the techniques you've used for optimizing database performance, such as indexing, query optimization, and data modeling. Discuss how you've implemented caching strategies or selected specific database solutions that cater to real-time analytics needs, showcasing your problem-solving skills and technical proficiency.

Share your experiences with different frameworks like Node.js, Django, or FastAPI. Discuss why you favor specific frameworks over others, perhaps citing ease of integration, performance, or scalability. Being prepared to back your preference with real-world examples demonstrates your practical knowledge.

Discuss methodologies such as using OAuth for third-party integrations, implementing JWT for stateless authentication, or employing end-to-end encryption. Ensure you convey your understanding of security best practices, particularly in handling sensitive data or financial transactions, as this is crucial for Viewstats.

Describe your approach to utilizing statistical analysis and machine learning for anomaly detection. Offer insights into methodologies such as supervised vs unsupervised learning and your experiences with specific libraries or frameworks that can aid in building robust algorithms.

Talk about your commitment to clear communication between backend and frontend teams, discussing past experiences where you successfully collaborated on API design or integration. Highlight the importance of understanding user needs to create an optimized end-user experience.

Detail how you have utilized Docker in various projects, explaining the benefits it provided regarding deployment and scalability. If applicable, discuss any orchestration platforms you've used, such as Kubernetes, and how they improved your development workflow.

Illustrate your experience with CI/CD tools like GitHub Actions or Jenkins. Discuss the benefits of integrating testing and deployment processes and how they can enhance code quality and reduce the time for new features to reach production.

Share examples of tools or techniques you’ve used to enable real-time data processing. This could include stream processing technologies or specific design patterns that enhance your system's ability to handle and analyze data on-the-fly, showcasing your technical depth.

Discuss the strategies you've implemented for handling high-volume analytics data, such as effective data storage solutions, data partitioning, and batching techniques. Your ability to address scalability will matter significantly in this role at Viewstats.