Lead Backend Engineer - job 1 of 2

As a Lead Backend Engineer at Weekday's client, your primary responsibilities include designing, developing, and maintaining robust APIs for various applications. You'll build scalable web servers, optimize existing systems, and collaborate with frontend developers to integrate user-facing elements seamlessly. Additionally, troubleshooting and debugging issues to maintain system stability is crucial in this fast-paced environment.

To be considered for the Lead Backend Engineer position at Weekday's client, you should have a Bachelor’s degree in Computer Science or a related field, along with 4 to 8 years of industry experience in backend development. Proficiency in GoLang, experience with distributed systems, knowledge of various databases, and strong interpersonal skills are essential. Familiarity with tools like Elasticsearch and Kafka is preferred.

A Lead Backend Engineer at Weekday's client should be proficient in GoLang for backend development. An understanding of database technologies including SQL, NoSQL, and Elasticsearch is critical. Additionally, hands-on experience with version control systems like Git, as well as familiarity with streaming systems or message queues, will be advantageous.

In your first year as a Lead Backend Engineer at Weekday's client, you will develop the backend infrastructure for court systems in India, supporting over 5000 courtrooms. You will also tackle complex tech challenges, enhance security and compliance efforts, and contribute to machine learning infrastructure that allows for innovations like voice-first text editing and automated ML retraining.

The Lead Backend Engineer role at Weekday's client plays a vital part in supporting the legal sector by developing AI-driven backend systems that improve functionality in courts. Your work will empower judges, legal professionals, and stenographers to operate more efficiently, ensuring that justice is delivered effectively through innovative technology solutions.

Certainly! In backend development, I have designed and implemented several distributed systems that handle large-scale data processing. I ensure that these systems are robust by using strategies like load balancing and replication to maintain high availability and fault tolerance.

To optimize backend applications, I analyze performance bottlenecks using profiling tools and metrics. I prioritize tasks such as optimizing database queries, implementing caching strategies, and fine-tuning server configurations to ensure the application runs smoothly and efficiently.

I believe open communication is vital. I collaborate closely with frontend developers by ensuring that they have clear API documentation and by discussing user stories early in the development cycle. This way, we can align our goals and ensure seamless integration of user-facing features.

I actively follow tech blogs, attend webinars, and participate in professional communities related to backend development. I also engage in hands-on practice with new technologies through personal projects to keep my skills current and relevant.

When debugging backend issues, I start by replicating the problem in a staging environment. I utilize logging and monitoring tools to track errors and analyze system behavior. Once I have identified the root cause, I implement a fix, followed by thorough testing to ensure stability.

To ensure security and privacy, I implement encryption for sensitive data both at rest and in transit. I also follow best practices for authentication and authorization, including role-based access control, and regularly conduct vulnerability assessments to identify and mitigate risks.

I have designed and developed various APIs that facilitate seamless communication between services. My experience includes creating RESTful APIs, ensuring they are well-documented, versioned properly, and optimized for performance, which enhances overall user experience.

I primarily use Git for version control as it allows for effective collaboration within teams. Version control is critical because it tracks changes in code, facilitates branching and merging, and helps avoid conflicts, thus ensuring that the codebase remains stable and manageable.

I approach technical challenges related to compliance by thoroughly understanding the relevant regulations and implementing necessary security measures. This may include data encryption, regular audits, and ensuring that our systems adhere to industry standards and practices.

One challenging project involved building a real-time data processing system for a legal application. I had to ensure that it was highly available and scalable, which I achieved by designing an event-driven architecture and utilizing message queues for efficient data handling.