Skip to main content

Your Guide to SRE Interview Questions

Emily Arnott
Blameless

As we shift further into a digital-first world, where having a reliable online experience becomes more essential, Site Reliability Engineers remain in-demand among organizations of all sizes. Investing in SREs enhances your bottom line by delivering the #1 feature for customers: a consistently available and high-functioning service that they can rely on. What's the value of features that users can't access?

SREs enhance reliability and customer satisfaction by:

■ Orienting development priorities around what impacts customers most

■ Minimizing the damage of incidents with enhanced response processes

■ Building processes and policies to improve the flow of information

■ And many other ways

SREs can specialize in these areas, or be generalists that wear many hats. They can operate as a distinct team, or be deployed in different product teams. Smaller organizations could have engineers take on SRE duties without having it as a full-time position. Looking for people to take on SRE in-house can be a great solution, as they're already experienced with your particular systems.

No matter how you configure your SREs, this diverse set of skills and values can be difficult to interview for. In this blog, we'll get you started with some example questions and processes to find your ideal SRE.

Technical questions

A big part of some SRE jobs is helping develop new features to be more maintainable, observable, and generally reliable. However, SREs don't always need to be "in the trenches" of writing code. Depending on their duties, an SRE may not even write a line of code during their tenure. Because of this, a traditional "technical interview," where the interviewee completes challenging coding problems, may not be as important or even necessary.

At the same time, an SRE will always need to understand the system they're working in. They need to understand the details of your system's toolstack, architecture, development lifecycle, and coding standards. Without this information, they won't be able to build incident response processes that integrate with the system, improve infrastructure, or link user experiences with areas of the codebase.

Here are some examples of questions that can check for this systemic understanding. Of course, these will vary based on your org's setup. Provide the necessary context for your architecture for them to answer your questions.

■ Given this development lifecycle, where do you think significant delays or bottlenecks could be encountered? How would you smooth these areas?

■ Looking at the services we offer, what sort of incidents do you think would be most impactful to customers? How would you proactively reduce that impact?

■ When a new feature or major project begins development, how would you develop code specifications to ensure the feature is maintainable/observable/reliable?

Don't test for particular knowledge of the specifics of your system – those things can be learned. Instead, consider how they conceptualize what they know about your system and how they imagine potential issues and solutions. Likewise, don't focus too much on their specific solution and whether or not it would actually work. Look for people who have thoughtful reasons for their answers, as they'll be able to adapt that thinking to a wide range of situations.

Process questions

The discipline of SRE includes many tools, procedures, and policies that can be adopted and adapted for your org. SREs can generate lots of value by creating, maintaining, and revising this procedural infrastructure. There's no one-size-fits-all answer, so look for SREs that understand how to build processes based on your unique needs.

It can sometimes be hard to even know what it is your organization needs most. A good SRE will not only deliver what's asked of them, but can discover gaps causing customer dissatisfaction, toil for engineers, and miscommunication. Try to determine this ability in your interview, too.

Here are some example questions on processes. Adapt them based on which processes your organization wants to prioritize.

■ What makes a good incident runbook? How would you identify where runbooks are needed, and how would you build them?

■ If a team was dealing with a lot of incidents after new deployments, what would you recommend they do? How would you encode this in policy?

■ How do you find areas that have lots of unnecessary toil? What do you try to implement to reduce toil?

Again, don't look for specific answers that represent perfect solutions. There's no way they can completely solve these big problems with the information and time of an interview question. Instead, look for thought processes that are well-justified, have a holistic perspective, and are based on expertise and experience.

Cultural questions

The practice of SRE shouldn't be a set of arbitrary tasks and policies that engineers are expected to blindly follow. Instead, there should be a foundation in culture and mindset that makes adhering to SRE consistent and natural for all teams. You can't have a policy in place for everything, but good culture will lead people to do the right thing anyways.

SREs can be the ambassadors of these cultural shifts. This can be informally, leading by example and reinforcing values when reviewing processes. For example, when reviewing an incident, SREs can highlight how blameless analysis of contributing factors leads to systemic improvement. For more major shifts, SREs can hold workshops or produce documents to more formally teach new values.

Assessing cultural values in an interview can be difficult. It's one thing to be able to repeat the benefits of a value; knowing how to champion them convincingly to a wide range of people is another. Use hypothetical situations or ask for past experiences to better understand their perspective.

Here are some example questions to assess culture.

■ How would you convince someone motivated to release a new feature as quickly as possible that they should slow down and deliver something more reliable?

■ What benefits does blamelessness have? How would you encourage blamelessness in a situation where someone accidentally deploys to the wrong environment, creating an outage?

■ How do you see the relationship between development and operations teams? How should they collaborate, and when in the development cycle? How do you align them on shared priorities?

At its heart, SRE is all about empathizing with customers, team members, and other stakeholders. Look for responses that demonstrate that empathetic core. You won't be able to anticipate all the reasons why people could resist or misunderstand SRE principles. However, if you can empathize, you can connect with them and teach them better.

Preparing for an SRE interview

If you're looking to be hired as an SRE, or you're hoping to take on SRE responsibilities in your organization, studying these questions and expectations can be hugely beneficial. Research the company in question and think about what problems they could be facing based on their size and industry. Tailoring your answers to their particular needs shows thoughtfulness and helps spark their imagination for the benefits you can provide. Also try to think of past experiences or hypothetical stories that illustrate your thought process.

Learning about common SRE practices and their benefits will also help you prove your value. Many organizations are new to SRE, unsure of what's out there and how it could help them. Establish yourself as someone who can bring them up to speed from wherever they're starting.

Building an SRE team is a journey, just like achieving reliability excellence itself. As your organization evolves, your needs for an SRE will change too. Before each interview, think about what you need most and adapt your questions to focus on it. Your ideal SREs are waiting for you to find them!

Emily Arnott is Community Relations Manager at Blameless

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

Your Guide to SRE Interview Questions

Emily Arnott
Blameless

As we shift further into a digital-first world, where having a reliable online experience becomes more essential, Site Reliability Engineers remain in-demand among organizations of all sizes. Investing in SREs enhances your bottom line by delivering the #1 feature for customers: a consistently available and high-functioning service that they can rely on. What's the value of features that users can't access?

SREs enhance reliability and customer satisfaction by:

■ Orienting development priorities around what impacts customers most

■ Minimizing the damage of incidents with enhanced response processes

■ Building processes and policies to improve the flow of information

■ And many other ways

SREs can specialize in these areas, or be generalists that wear many hats. They can operate as a distinct team, or be deployed in different product teams. Smaller organizations could have engineers take on SRE duties without having it as a full-time position. Looking for people to take on SRE in-house can be a great solution, as they're already experienced with your particular systems.

No matter how you configure your SREs, this diverse set of skills and values can be difficult to interview for. In this blog, we'll get you started with some example questions and processes to find your ideal SRE.

Technical questions

A big part of some SRE jobs is helping develop new features to be more maintainable, observable, and generally reliable. However, SREs don't always need to be "in the trenches" of writing code. Depending on their duties, an SRE may not even write a line of code during their tenure. Because of this, a traditional "technical interview," where the interviewee completes challenging coding problems, may not be as important or even necessary.

At the same time, an SRE will always need to understand the system they're working in. They need to understand the details of your system's toolstack, architecture, development lifecycle, and coding standards. Without this information, they won't be able to build incident response processes that integrate with the system, improve infrastructure, or link user experiences with areas of the codebase.

Here are some examples of questions that can check for this systemic understanding. Of course, these will vary based on your org's setup. Provide the necessary context for your architecture for them to answer your questions.

■ Given this development lifecycle, where do you think significant delays or bottlenecks could be encountered? How would you smooth these areas?

■ Looking at the services we offer, what sort of incidents do you think would be most impactful to customers? How would you proactively reduce that impact?

■ When a new feature or major project begins development, how would you develop code specifications to ensure the feature is maintainable/observable/reliable?

Don't test for particular knowledge of the specifics of your system – those things can be learned. Instead, consider how they conceptualize what they know about your system and how they imagine potential issues and solutions. Likewise, don't focus too much on their specific solution and whether or not it would actually work. Look for people who have thoughtful reasons for their answers, as they'll be able to adapt that thinking to a wide range of situations.

Process questions

The discipline of SRE includes many tools, procedures, and policies that can be adopted and adapted for your org. SREs can generate lots of value by creating, maintaining, and revising this procedural infrastructure. There's no one-size-fits-all answer, so look for SREs that understand how to build processes based on your unique needs.

It can sometimes be hard to even know what it is your organization needs most. A good SRE will not only deliver what's asked of them, but can discover gaps causing customer dissatisfaction, toil for engineers, and miscommunication. Try to determine this ability in your interview, too.

Here are some example questions on processes. Adapt them based on which processes your organization wants to prioritize.

■ What makes a good incident runbook? How would you identify where runbooks are needed, and how would you build them?

■ If a team was dealing with a lot of incidents after new deployments, what would you recommend they do? How would you encode this in policy?

■ How do you find areas that have lots of unnecessary toil? What do you try to implement to reduce toil?

Again, don't look for specific answers that represent perfect solutions. There's no way they can completely solve these big problems with the information and time of an interview question. Instead, look for thought processes that are well-justified, have a holistic perspective, and are based on expertise and experience.

Cultural questions

The practice of SRE shouldn't be a set of arbitrary tasks and policies that engineers are expected to blindly follow. Instead, there should be a foundation in culture and mindset that makes adhering to SRE consistent and natural for all teams. You can't have a policy in place for everything, but good culture will lead people to do the right thing anyways.

SREs can be the ambassadors of these cultural shifts. This can be informally, leading by example and reinforcing values when reviewing processes. For example, when reviewing an incident, SREs can highlight how blameless analysis of contributing factors leads to systemic improvement. For more major shifts, SREs can hold workshops or produce documents to more formally teach new values.

Assessing cultural values in an interview can be difficult. It's one thing to be able to repeat the benefits of a value; knowing how to champion them convincingly to a wide range of people is another. Use hypothetical situations or ask for past experiences to better understand their perspective.

Here are some example questions to assess culture.

■ How would you convince someone motivated to release a new feature as quickly as possible that they should slow down and deliver something more reliable?

■ What benefits does blamelessness have? How would you encourage blamelessness in a situation where someone accidentally deploys to the wrong environment, creating an outage?

■ How do you see the relationship between development and operations teams? How should they collaborate, and when in the development cycle? How do you align them on shared priorities?

At its heart, SRE is all about empathizing with customers, team members, and other stakeholders. Look for responses that demonstrate that empathetic core. You won't be able to anticipate all the reasons why people could resist or misunderstand SRE principles. However, if you can empathize, you can connect with them and teach them better.

Preparing for an SRE interview

If you're looking to be hired as an SRE, or you're hoping to take on SRE responsibilities in your organization, studying these questions and expectations can be hugely beneficial. Research the company in question and think about what problems they could be facing based on their size and industry. Tailoring your answers to their particular needs shows thoughtfulness and helps spark their imagination for the benefits you can provide. Also try to think of past experiences or hypothetical stories that illustrate your thought process.

Learning about common SRE practices and their benefits will also help you prove your value. Many organizations are new to SRE, unsure of what's out there and how it could help them. Establish yourself as someone who can bring them up to speed from wherever they're starting.

Building an SRE team is a journey, just like achieving reliability excellence itself. As your organization evolves, your needs for an SRE will change too. Before each interview, think about what you need most and adapt your questions to focus on it. Your ideal SREs are waiting for you to find them!

Emily Arnott is Community Relations Manager at Blameless

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...