10 Site Reliability Engineering (SRE) Interview Questions and Answers for devops engineers

flat art illustration of a devops engineer

1. Can you describe your experience implementing SRE principles in a previous role?

During my previous role as a Site Reliability Engineer at XYZ Company, I implemented several SRE principles that helped improve the reliability and stability of the company's infrastructure. One example was our implementation of a proactive approach to incident management. We conducted frequent system health checks and established a set of runbooks to ensure proper incident response procedures were in place. As a result, we saw a 20% decrease in average incident resolution time.

Another SRE principle that I implemented was automating the company's disaster recovery processes. I led a team that developed scripts and configuration files to automate the creation of backup systems, which mitigated the negative impact of potential system failures. This reduced our recovery time from a disaster by more than 50%, which was critical for meeting our SLAs.

I also implemented robust monitoring and alerting systems that provided early warning of system outages and enabled quick incident response. By monitoring various metrics and setting up automated alerts, we were able to identify and address issues in real-time, reducing system downtime by 25% and minimizing the number of incidents caused by preventable issues.

  1. Implemented a proactive approach to incident management, reducing average incident resolution time by 20%.
  2. Automated disaster recovery processes, reducing recovery time from a disaster by more than 50%.
  3. Implemented robust monitoring and alerting systems, reducing system downtime by 25% and minimizing preventable issues.

Overall, my experience implementing SRE principles has taught me the importance of proactive, automated processes for ensuring system reliability and stability. I look forward to bringing this experience to my next SRE role.

2. How do you balance the need for rapid feature development with reliability?

In my experience, balancing the need for rapid feature development with reliability involves several key steps. First and foremost, it is crucial to establish clear and realistic goals for both speed of development and reliability, and to ensure that these goals are communicated clearly to all team members. To achieve this balance, I prioritize collaboration and communication within the team, as well as with other stakeholders such as product managers and customers. By keeping everyone informed of the status of the development process and any potential issues that may arise, we are able to quickly respond to any challenges that arise and maintain a consistent level of performance. Additionally, I am a strong advocate for implementing monitoring and testing tools to continuously evaluate and improve the reliability of our systems. By identifying and addressing potential issues early on, we are able to avoid downtime and keep our systems running smoothly. Overall, my approach to balancing rapid feature development with reliability is to prioritize communication, collaboration, and continuous improvement. As a result of this strategy, I have achieved impressive results such as a 40% improvement in system uptime and a 30% reduction in customer complaints about performance.

3. How do you approach incident management and post-mortems?

When it comes to incident management and post-mortems, I follow a structured approach to ensure that any problems are quickly resolved and the team learns from them. My process typically involves the following steps:

  1. Quickly identify the problem: I start by gathering as much information as I can about the incident. This includes looking at system metrics and logs to see what might have caused the problem, and talking to team members who were involved in the incident.
  2. Contain the problem: Once I have identified the issue, I work to make sure it does not cause any further problems. This might involve rolling back changes, restarting servers, or implementing temporary fixes.
  3. Communicate with stakeholders: Throughout the incident, I make sure that everyone who needs to know what's going on is kept up-to-date. This includes management, other teams, and anyone else who might be affected.
  4. Conduct a post-mortem: Once the issue is resolved, I hold a post-mortem meeting with the team to review what happened, why it happened, and how we can prevent it from happening again. During the meeting, we discuss the timeline of events, the root cause of the problem, and any mitigating factors. We then come up with an action plan to prevent similar incidents from occurring in the future.
  5. Review and analyze incident data: After the post-mortem, I analyze incident data to identify any patterns or trends. This can help me identify potential problems before they become major issues.

One example of my success in incident management is when our team faced a critical issue that brought down a key production system. I quickly identified the problem and worked with team members to resolve the issue within 30 minutes. I then held a post-mortem meeting to discuss the incident and learn from our mistakes. As a result, we were able to identify a number of process improvements that helped us prevent similar incidents from occurring in the future.

4. What metrics and tools do you use to measure and improve site reliability?

As an SRE, I firmly believe that having a robust monitoring and alerting system is crucial to measure and improve site reliability. At my previous role as an SRE at XYZ Company, I used the following metrics and tools:

  1. Uptime percentage: We tracked the percentage of time our website was up and running without any issues. Over the past year, we were able to increase our uptime percentage to 99.9% by quickly responding to alerts and proactively identifying potential issues.
  2. Mean Time To Detect (MTTD): This metric helped us measure how quickly we were able to detect and respond to incidents. By using automated alerting and monitoring tools, we were able to reduce our MTTD from 30 minutes to 5 minutes, which significantly improved our site's reliability.
  3. Mean Time To Recover (MTTR): We also tracked how long it takes to recover from incidents. By continuously improving our incident response processes and tools, we were able to bring down our MTTR from 45 minutes to 10 minutes.
  4. Infrastructure Metrics: We used tools like Prometheus and Grafana to monitor our infrastructure's vital signs, such as CPU usage, memory usage, disk I/O, and network traffic. We set up thresholds and alerts for these metrics such that we could quickly identify and resolve any issues before they impacted the site's reliability.
  5. Application Metrics: In addition to infrastructure metrics, we also monitored application-level metrics using New Relic APM. These metrics included error rates, latency, and throughput. By keeping a close eye on these metrics, we were able to identify and fix potential issues before they impacted our users.

Overall, tracking these metrics and using the right tools helped us significantly improve our site's reliability and ensure our users had a smooth experience. I believe that continuously measuring and improving these metrics should be a top priority for any SRE team.

5. Can you walk me through how you would design and implement a disaster recovery plan?

Designing and implementing a disaster recovery plan is crucial for ensuring business continuity and minimizing downtime in case of a disaster. Here is an overview of my approach:

  1. Assess the risks: The first step is to identify potential risks such as natural disasters, power outages, cyber-attacks or hardware failures. Quantitative and qualitative data can be used to assess the frequency and impact of these risks.
  2. Define recovery objectives: Based on the risks identified, recovery objectives need to be defined. This includes recovery time objectives (RTO) and recovery point objectives (RPO) which define how quickly data and systems need to be restored after a disaster.
  3. Develop a disaster recovery plan: Based on the risks and recovery objectives, a plan needs to be created. This plan should include the roles and responsibilities of personnel involved in the recovery process, a list of backup locations, the frequency of backups and communication protocols.
  4. Test the plan: A disaster recovery plan is only effective if it can be executed efficiently during a real disaster. Regularly testing the plan can ensure that all personnel know their roles and responsibilities and can help identify any weaknesses in the plan.
  5. Implement monitoring: In addition to creating a disaster recovery plan, implementing monitoring tools such as network performance monitoring and application performance monitoring can help identify potential issues before they become disasters.
  6. Review and improve: After any disaster, it is important to review the plan and identify any areas for improvement. This could be updating roles and responsibilities or reviewing and improving the communication protocols.

In my previous role as a DevOps Engineer at XYZ company, we implemented a disaster recovery plan that reduced our RTO from 5 hours to 1 hour and our RPO from 24 hours to 1 hour. Our plan was regularly tested, and we used monitoring tools to identify potential issues before they became disasters.

6. How do you collaborate with development teams to ensure reliability?

Collaborating with development teams is vital to ensuring reliability in any project. My approach to collaboration involves regular meetings with development team leads to discuss project progress and updates. During these meetings, I provide updates on the status of any reliability issues that have been identified and work with the development team to implement reliable solutions.

  1. To facilitate collaboration, I create a shared document containing a checklist of reliability requirements for the development team to follow. This document ensures that everyone on the team is aware of reliability best practices and can be used as a reference for future projects.
  2. In addition, I work closely with the development team to conduct regular code reviews to identify and address potential reliability issues before they become problems. This has resulted in a 30% reduction in bug reports during the testing phase of projects.
  3. We also use an incident reporting system where any issues with the reliability of the application are quickly reported, investigated, and resolved. As a result, our Mean Time to Resolution (MTTR) has decreased by 20% over the past year.

Furthermore, I regularly attend sprint retrospectives to identify any areas where collaboration can be improved and to provide feedback on how we can work together more effectively to ensure reliability. Through these meetings, we’ve been able to significantly reduce the number of reliability issues identified during post-production testing.

Overall, my collaborative approach with development teams has led to a more reliable project outcome, with a 95% reduction in reliability-related issues post-production. I believe this approach is highly effective and plays a crucial role in ensuring project success.

7. Can you discuss any experience you have with Kubernetes or other container orchestration platforms?

Yes, I have experience with Kubernetes in my previous role as a Site Reliability Engineer at XYZ Corporation. One of the projects I worked on involved migrating our infrastructure to Kubernetes, and it was a great success.

  1. First, I set up a Kubernetes cluster and ensured its high availability and scalability.
  2. Then, I created Kubernetes deployment files for our applications and created service files for each application.
  3. I also set up horizontal pod autoscaling based on CPU utilization and implemented secrets and configmaps to store sensitive data and application configurations.
  4. To ensure application reliability, I implemented liveness and readiness probes and set up rolling updates and canary deployments.
  5. Lastly, I configured Kubernetes dashboard and Prometheus and Grafana for monitoring and alerting.

As a result of this migration, we achieved:

  • 99.99% availability of our applications.
  • 33% reduction in infrastructure costs due to better resource utilization.
  • 50% faster application deployment time than before.
  • Improved developer productivity due to self-service deployments and scaling.

Overall, my experience with Kubernetes has demonstrated its effectiveness in managing complex microservices-based applications in a scalable and reliable manner.

8. How do you ensure security and compliance within an SRE context?

As an SRE, I fully understand that security and compliance are critical aspects of any tech environment. At the company I currently work for, we have established a multi-layered approach to ensure the security and compliance of our systems.

  1. Clear guidelines and policies - We have clearly defined and documented security and compliance policies, which all team members must follow. This ensures that everyone is on the same page and reduces the likelihood of any breaches.

  2. Automated compliance checks - We have implemented automated checks that continuously monitor our systems for any deviations from our security and compliance policies. These automated checks run on a regular basis, and if they detect any issues, the relevant team members are immediately alerted.

  3. Regular security audits - We regularly conduct security audits to identify any potential vulnerabilities or weaknesses in our systems. These audits are carried out by external security experts and are taken very seriously.

  4. Employee training - We provide regular training to all team members on the importance of security and compliance. This training is designed to keep everyone up to date with best practices and to minimize the risk of human error.

Our approach has been highly effective in preventing any major security breaches, and we consistently receive positive feedback from our clients on the security of our systems. In fact, last year, we achieved a 99.95% uptime rate, and we have never had a data breach.

9. How do you prioritize and manage technical debt related to site reliability?

Technical debt related to site reliability is an inevitable part of any software development process. My approach to prioritizing and managing it involves a combination of four key steps:

  1. Evaluating the impact: The first step is to evaluate the impact of the technical debt on the overall site reliability. I would start by looking at metrics such as uptime, response time, and error rates, and use that data to determine the severity of the situation.
  2. Quantifying the cost: Once I have evaluated the impact of the technical debt, I would quantify the cost of addressing it versus the cost of leaving it in place. This includes not only the monetary cost but also the cost in terms of resources, time, and effort.
  3. Collaborating with other teams: Site reliability is not just a concern for the SRE team, but also for the development, operations, and QA teams. Collaborating with these teams to involve them in decision-making and help prioritize technical debt – specifically those that could impact user experience – is crucial.
  4. Implementing a plan: With the impact, cost, and team input in mind, I would then create a detailed plan for addressing technical debt. This includes identifying which issues to address, setting clear priorities, assigning tasks to team members, and allocating necessary resources.

A concrete example of this approach in practice would be when I was working for a large e-commerce site. Our team encountered an issue where our site was experiencing periodic outages due to high traffic. After evaluating the impact and cost, we collaborated with the development and operations teams to develop a plan to address the root cause of the issue which was related to the site architecture.

  • We first collaborated with the development team and identified areas of the site architecture that required optimization.
  • We then worked with the operations team to allocate resources and prioritize development work that addressed not only the current issue but also related technical debt.
  • As a result, we were able to reduce our site's downtime by 50%, reduce our error rate by 25%, and improve our site's overall reliability.

In summary, my approach to prioritizing and managing technical debt related to site reliability involves evaluating the impact, quantifying the cost, collaborating with other teams, and implementing a well-defined plan. This approach has worked well for me in the past and I believe it will continue to be effective in managing technical debt in the future.

10. What do you think are some emerging trends in SRE and how do you stay current with them?

As an SRE, staying up-to-date with emerging trends is crucial to ensure the systems remain reliable and scalable. Some emerging trends in SRE include:

  1. Cloud-native technologies: With the rise of cloud computing, the industry is shifting towards cloud-native technologies to improve scalability and reliability. I keep myself updated on cloud-native technologies such as Kubernetes and Istio through online courses and attending conferences.
  2. Artificial Intelligence and Machine Learning (AI/ML): AI/ML is increasingly being used in SRE to monitor systems and predict failures before they occur. I stay current on this trend by reading research papers and attending industry summits.
  3. Automation: Automation is becoming more prevalent in SRE to improve efficiency and eliminate human error. I constantly improve my automation skills through online courses and implementing automation solutions in my work.

To measure the effectiveness of staying current with these emerging trends, I have implemented new cloud-native technologies to reduce server costs by 20%, implemented AI/ML solutions which have reduced system failures by 15%, and have reduced site downtime by 25% through automation.


Congratulations on finishing reading through these 10 Site Reliability Engineering (SRE) interview questions and answers for 2023. If you're looking to become a remote SRE engineer, there are a few next steps you should consider to increase your chances of landing your dream job. Firstly, don't forget to write an impressive cover letter. Check out our guide on writing a winning cover letter for remote DevOps engineers, which includes helpful tips and examples of successful cover letters. Secondly, to stand out from other applicants, you need a great resume ready to share with potential employers. Be sure to read our guide on how to write an impressive resume for remote DevOps engineers. Lastly, start your job search today on Remote Rocketship's remote DevOps and Production Engineering job board. With new job opportunities added daily, our board is the perfect place to find your next remote SRE engineering job. Good luck on your job search!

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