Backend Software Engineer

As a Backend Software Engineer at Weekday's client, your primary responsibilities will include owning feature development for medium to large projects, collaborating with cross-functional teams, managing production systems, and participating in code reviews. You'll drive your features from design through to production rollout, ensuring quality and performance.

To qualify for the Backend Software Engineer role at Weekday's client, you should have at least 3 years of software engineering experience with expertise in programming languages such as React, Java, Python, or Go. A strong understanding of production systems and PostgreSQL, along with the ability to communicate effectively with team members, will also set you up for success.

Cross-team collaboration is crucial for a Backend Software Engineer at Weekday's client as it ensures the development of high-quality solutions. You'll work closely with product managers, designers, and QA teams to translate project requirements into practical features, which ultimately enhances the end-user experience and product quality.

For a Backend Software Engineer at Weekday's client, the feature development process is comprehensive. You'll independently design and develop features with sometimes ambiguous requirements, followed by rigorous testing and production rollouts, ensuring the final product aligns with user needs and business goals.

While having a background from top-tier IITs/NITs is considered a plus for the Backend Software Engineer role at Weekday's client, it is not a strict requirement. The emphasis is more on your experience and expertise in relevant programming languages and engineering practices.

When debugging a production issue, first, I gather all relevant logs and monitor system metrics to identify anomalies. I then reproduce the problem in a controlled environment if possible and analyze the code implicated in the failure, all while communicating with affected stakeholders to ensure transparency.

I have extensively worked with AWS, utilizing services such as EC2, S3, and RDS. This experience includes deploying applications, managing resources, and ensuring they are optimized for performance and cost-effectiveness.

I prioritize tasks based on impact and urgency. I communicate with stakeholders to align on priorities and often use a project management tool to track progress and adjust as necessary to maintain focus and ensure deadlines are met.

I utilize clear, concise language and maintain a logical structure in my technical documentation. I often include visual aids such as diagrams and examples to enhance understanding and ensure that documentation is accessible and valuable to all team members.

Code review is vital as it fosters knowledge sharing, improves code quality, and introduces diverse perspectives on solving problems. It helps prevent bugs and promotes best practices by ensuring that multiple sets of eyes have evaluated the work before merging into production.

I approach learning new programming languages or technologies with a strategy that includes online courses, hands-on practice, and reference to reputable documentation. I find that building small projects can help solidify my understanding in a practical context.

I once faced a significant performance issue in a web application. I addressed it by analyzing query performance, optimizing database indexes, and implementing caching strategies, resulting in a much faster application response time. This experience highlighted the importance of proactive performance monitoring.

I ensure that features align with user needs by actively engaging with product managers and conducting user feedback sessions. This helps me to understand their pain points and expectations, which I then integrate into the development process, ensuring the final product truly serves the users.

I have extensive experience with PostgreSQL, which includes designing schemas, writing complex queries, and optimizing performance. I also leverage its robust features such as JSON support and indexing to enhance application functionality.

When designing scalable applications, I consider factors such as load balancing, stateless architecture, and efficient database access patterns. I also focus on using cloud services that allow for easy scaling as user demand increases.