Backend Engineer II

As a Backend Engineer II at HackerRank, you'll be responsible for delivering large and complex projects from start to finish, ensuring timely product deliverables. You will participate in technical discussions, mentor junior engineers, conduct code reviews, and push for improvements in performance, quality, and availability metrics.

To qualify for the Backend Engineer II position at HackerRank, you should have a minimum of 2 years of experience in dynamic programming languages, ideally Ruby on Rails. Experience in database modeling, specifically relational databases, and knowledge of cloud technologies like AWS is essential. An understanding of CI/CD tools is also a plus.

HackerRank offers a range of professional development benefits, including reimbursement for learning-related expenses, enabling you to continuously enhance your skills as a Backend Engineer II. Additionally, you’ll have the opportunity to participate in hiring initiatives that build a top-quality team.

Yes! The Backend Engineer II position at HackerRank is fully remote, allowing you the flexibility to work from anywhere within India. This remote setup is part of our commitment to offering a healthy work-life balance to our employees.

A Backend Engineer II at HackerRank should have expertise in Ruby on Rails and a strong grasp of relational databases. Familiarity with cloud services like AWS, knowledge of Docker and Kubernetes, and understanding web application security best practices are also preferred.

When discussing a previous project, highlight your role, the technologies used, challenges faced, and how you overcame them. Focus on the impact your work had on the project outcome and any notable improvements you contributed.

To ensure code quality, I implement thorough code reviews, adhere to established coding standards, and use automated testing. Continuous integration practices also help catch issues early, ensuring our codebase remains robust.

I approach troubleshooting methodically. I analyze logs, gather metrics, reproduce issues, and consult team members when needed. Establishing a good monitoring system upfront also aids in preventive troubleshooting.

I have extensive experience utilizing cloud platforms like AWS for deploying and maintaining applications. I'm familiar with services such as EC2, S3, and RDS, which help ensure scalability and reliability in my projects.

I regularly follow tech blogs, participate in webinars, and engage with professional communities through forums and social media. I also make it a point to attend conferences and workshops whenever possible.

Key metrics include response time, throughput, error rates, and resource utilization. Monitoring these helps in assessing the performance of backend systems and making necessary optimizations.

Database optimization involves analyzing query performance, indexing strategy, and schema design. I focus on reducing query execution time, using proper indexing, and optimizing database structure to enhance performance.

I mentor junior engineers by pairing programming, conducting code reviews, and encouraging them to take on challenging tasks. I also share resources and guide them in problem-solving techniques to foster their growth.

Design patterns provide proven solutions to common problems, making code more maintainable and scalable. Understanding and applying the right patterns can significantly enhance the quality of the software architecture.

When facing tight deadlines, I prioritize tasks based on their impact, communicate openly with stakeholders about potential trade-offs, and ensure the team is aligned. Effective time management and last-minute adjustments help us meet deadlines without compromising quality.