Lead Software Engineer - job 35 of 45

As a Lead Software Engineer at our company, you will be responsible for building expertise in our 24/7 merchant support systems, addressing issues within SLAs, collaborating on development and product improvements, and automating production support tasks. Your role will also involve creating and testing performance models for our payment processing systems, monitoring application performance, and contributing to disaster recovery planning.

To qualify for the Lead Software Engineer position, candidates should have a Bachelor's degree in Computer Science or Engineering, with a Master's degree being a plus. Experience in Unix/Linux environments, strong knowledge of performance testing tools and coding in Java or Python are essential. Additionally, experience in working within Agile teams and familiarity with modern architecture such as microservices will be beneficial.

A Lead Software Engineer should be well-versed with tools like Loadrunner, JMeter, and APM solutions such as AppDynamics, Dynatrace, and OPNET. Familiarity with monitoring tools like Splunk, Keynote, and Grafana is also advantageous, in addition to understanding containerization and disaster recovery methodologies.

Yes, the Lead Software Engineer role includes on-call responsibilities. This means you'll need to be prepared to step in and troubleshoot urgent production issues as they arise, ensuring that our systems maintain optimal performance around the clock.

The work environment for the Lead Software Engineer position is hybrid, offering a mix of remote work and time spent in the office, which provides flexibility while fostering collaboration with colleagues. The pace is fast and exciting as you will be part of a team committed to innovation in a 24/7 operational setting.

When answering this question, highlight your hands-on experience with Unix/Linux environments. Discuss specific projects where you utilized your knowledge of operating system internals, file systems, and how you efficiently managed networking protocols.

In your response, describe your methodology for assessing performance metrics. Talk about the tools you use and how you analyze data to identify bottlenecks and optimize performance. Provide examples of past experiences where you successfully implemented performance models.

When discussing performance testing tools like Loadrunner or JMeter, detail the scenarios in which you used them, the types of tests you ran, and how you interpreted the results to improve application performance. Highlight any successful outcomes from those tests.

Explain your understanding of disaster recovery methodologies you have employed in past roles. Discuss specific strategies, planning processes, and how you ensured minimal service interruption during recovery exercises.

Share your experience working with Agile methodologies, emphasizing your role in sprints, daily standups, and collaboration with product owners. Illustrate how Agile practices enhanced your team's productivity and project outcomes.

When answering this question, pick a specific incident that demonstrates your problem-solving skills. Outline the steps you took to triage and troubleshoot the issue, what tools you used, and how your actions benefited the overall system performance.

Discuss the programming languages you are proficient in, such as Java or Python. Provide examples of projects where you've applied these skills effectively, showcasing any frameworks you utilized and how your coding impacted project delivery.

Provide insight into your methods for identifying and addressing performance bottlenecks in applications. Mention specific metrics you track and how you leverage tools like APM solutions for continuous monitoring and improvement.

Discuss your experience with release management processes. Highlight how you collaborate with development teams to plan, execute, and validate releases, ensuring all potential issues are identified and resolved in advance.

Share about your methodologies for automating production support tasks. Discuss the tools you’ve implemented and the impact automation has had on efficiency and incident response times within your team or organization.