DevOps vs SRE vs Platform Engineer vs Cloud Roles Explained

DevOps, as initially conceived, was more of a philosophy than a set of practices, and it certainly wasn't intended to be a job title or a role spec. Yet today, DevOps engineers, site reliability engineers, cloud engineers, and platform engineers are all in high demand — with overlapping skillsets and with recruiters peppering role descriptions with liberal sprinklings of loosely related keywords such as "CI/CD pipeline," "deployment engineering," "cloud provisioning," and "Kubernetes."

When I co-founded Kubiya.ai, my investors pushed me to define my target market better. For example, was it just DevOps or also SREs, cloud and platform engineers, and other end users? 

More recently, I'm seeing lots of interest from job seekers and recruiters in defining these roles. From Reddit posts to webinars, this is a hotly debated topic. 

In this article, I offer my thoughts but recognize there's a great deal of room for interpretation. This is an inflammatory topic for many — so at the risk of provoking a conflagration, let's proceed!

To begin, here is a quick summary of what these different roles are.

High-Level View of DevOps, SRE, Cloud, and Platform Roles

DevOps

DevOps roles are all about teamwork and using tools to work smarter, not harder. They bring developers and operations together to speed up releases, improve system stability, and keep everyone on the same page.

SRE (Site Reliability Engineer)

SRE roles focus on making systems reliable and scalable. They're like the engineers who ensure everything runs smoothly behind the scenes, working closely with developers to automate processes and quickly respond to any issues.

Cloud Engineer

Cloud Engineer roles are like architects of the cloud. They specialize in setting up and managing cloud infrastructure, making sure it's efficient, secure, and cost-effective. They use tools like AWS or Azure to create environments where applications can thrive.

Platform Engineer

Platform Engineer roles are like builders of developer-friendly platforms. They design and maintain systems that empower developers to manage their applications easily, from setting up workflows to monitoring performance. It's all about creating a smooth experience for everyone involved.

The Evolution of DevOps and New Job Specs

The practice of DevOps evolved in the 2000s to address the need to increase release velocity and reduce product time to market while maintaining system stability. In addition, service-oriented architectures allowed separate developer teams to work independently on individual services and applications, enabling faster prototyping and iteration than ever before.

The traditional tension between a development team focused on software release and a separate, distinct operations team focused on system stability and security grew. This hindered the pace that many businesses aspired to. In addition, devs didn't always properly understand operational requirements, while ops couldn't head off performance problems before they had arisen.

DevOps, as initially conceived, was more of a philosophy than a prescriptive set of practices — so much so that there isn't even common agreement on the number and nature of these practices. Some cite the "four pillars of DevOps," some the "five pillars," and some the six, seven, eight, or nine. You can take your pick.

Different organizations have implemented DevOps differently (and many have not at all). And here, we can anticipate the job spec pickle we've found ourselves in. As Patrick Debois, founder of DevOpsDays, noted, "It was good and bad not to have a definition. People… are really struggling with what DevOps is right now. But, on the other hand, not writing everything down meant that it evolved in many directions."

The DevOps answer was to break down silos and encourage greater collaboration facilitated by tooling, cultural change, and shared metrics. Developers would own what they built — they would be able to deploy, monitor, and resolve issues end to end. Operations would better understand developer needs; get involved earlier in the product lifecycle; and provide the education, tools, and guardrails to facilitate dev self-service.

The one thing that DevOps was not was a role specification. Fast forward to today, and numerous organizations are actively recruiting for "DevOps Engineers." Worse still, there is very little clarity on what one is — with widely differing skill sets sought from one role to the next. Related and overlapping roles such as "site reliability engineer," "platform engineer," and "cloud engineer" are muddying already dim waters.

How did we get here, and what, if any, are the real differences between these roles?

The Emergence of New IT Roles

As DevOps gained traction, the roles and responsibilities within the DevOps ecosystem became increasingly blurred. This ambiguity led to the emergence of related roles such as Site Reliability Engineer (SRE), Cloud Engineer, and Platform Engineer. Each of these roles brings its own unique focus and skill set to the table.

SREs, inspired by Google's approach to managing large-scale systems, blend software engineering practices with operations to ensure the reliability and performance of services. Cloud Engineers specialize in deploying and managing cloud infrastructure, leveraging platforms like AWS, Azure, or Google Cloud to optimize scalability and efficiency. Platform Engineers, on the other hand, concentrate on designing and maintaining internal developer platforms, enabling self-service capabilities for developers to manage the operational aspects of the application lifecycle.

While there is overlap between these roles, they each have distinct areas of expertise and focus. SREs prioritize reliability and resilience, Cloud Engineers specialize in cloud infrastructure management, and Platform Engineers focus on creating developer-centric platforms. Understanding the nuances of these roles is essential for organizations to effectively structure their teams and harness the full potential of DevOps principles in their software delivery pipelines.

DevOps Resistance and Confusion

In my experience, realizing DevOps as it was originally conceived — i.e., optimally balancing specialization with collaboration and sharing — has been challenging for many organizations.

Puppet's 2021 State of DevOps report found that only 18% of respondents identify themselves as "highly evolved" practitioners of DevOps. And as the team at DevOps Topologies describe, some of these benefits come from special circumstances. For example, organizations such as Netflix and Facebook arguably have a single web-based product, which reduces the variation between product streams that can force dev and ops further apart.

Others have imposed strict collaboration conditions and criteria — such as the SRE teams of Google (more on that later!), who also wield power to reject software that endangers system performance.

Many of those at a lower level of DevOps evolution struggle to fully realize the promise of DevOps, owing to organizational resistance to change, skills shortages, lack of automation, or legacy architectures. As a result, a wide range of different DevOps implementation approaches will have been adopted across this group, including some of the DevOps "anti-types" described by DevOps Topologies.

For many, dev and ops will still be siloed. For others, DevOps will be a tooling team sitting within the development and working on deployment pipelines, configuration management, and such, but still in isolation from ops. And for others, DevOps will be a simple rebranding of SysAdmin, with DevOps engineers hired into ops teams with expanded skillset expectations but with no real cultural change taking place.

The rapid adoption of public cloud usage has also fueled belief in the promise of a self-service DevOps approach. But being able to provision and configure infrastructure on-demand is a far cry from enabling devs to deploy and run apps and services end to end. Unfortunately, not all organizations understand this, and so automation for many has stalled at the level of infrastructure automation and configuration management.

With so many different incarnations of DevOps, it's no wonder there's no clear definition of a DevOps role spec. For one organization, it might be synonymous only with the narrowest of deployment engineering — perhaps just creating CI/CD pipelines — while at the other end of the spectrum, it might essentially be a rebranding of ops, with additional skills in writing infrastructure as code, deployment automation, and internal tooling. For others, it can be any shade of gray in between, so here we are with a bewildering range of DevOps job listings.

SRE, Cloud Engineer, and Platform Engineer Roles

So depending on the hiring organization, for better or worse, a DevOps Engineer can be anything from entirely deployment-focused to a more modern variation of a SysAdmin. 

What about the other related roles: SREs, cloud engineers, and platform engineers? Here's my take on each:

Site Reliability Engineer

The concept of SRE was developed at Google by Ben Traynor, who described it as "what you get when you treat operations as a software problem and you staff it with software engineers." The idea was to have people who combine operations skills and software development skills to design and run production systems.

A Site Reliability Engineer (SRE) combines software engineering practices with operational responsibilities to ensure the reliability, scalability, and performance of systems and services. They focus on designing and implementing automated solutions to manage and monitor infrastructure, deploy software, and respond to incidents proactively. SREs work closely with development teams to establish and enforce reliability standards, define service level objectives (SLOs), and implement practices like error budgeting to balance innovation with system stability. Their goal is to maintain high availability and resilience in production environments through continuous improvement and iteration.

The definition of service reliability Service-Level Agreements (SLAs) is central and ensures that dev teams provide evidence up front that software meets strict operational criteria before being accepted for deployment. In addition, SREs, strive to make infrastructure systems more scalable and maintainable, including — to that end — designing and running standardized CI/CD pipelines and cloud infrastructure platforms for developer use.

As you can see, there's a strong overlap with how some would define a DevOps engineer. So perhaps one way of thinking about the difference is that. In contrast, DevOps originated with the aim of increasing release velocity, and SREs evolved from the objective of building more reliable systems in the context of growing system scale and product complexity. So to some extent, the two have met in the middle.

Cloud Engineer

As the functionality of the cloud has grown, some organizations have created dedicated roles for cloud engineers. Again, although there are no hard and fast rules, cloud engineers are typically focused on deploying and managing cloud infrastructure and know how to build environments for cloud-native apps. They'll be experts in AWS/Azure/Google Cloud Platform. Depending on the degree of overlap with DevOps engineer responsibilities, they may also be fluent in Terraform, Kubernetes, etc.

Moreover, cloud engineers leverage their expertise in cloud technologies to design, implement, and maintain scalable and resilient cloud architectures, ensuring that applications and systems run efficiently and securely in the cloud environment. Cloud Engineers may also work on automation, monitoring, and cost optimization strategies to maximize the benefits of cloud computing for their organization.

With the forward march of cloud adoption, cloud engineer roles are subsuming what formerly might have been called an infrastructure engineer, with its original emphasis on both cloud and on-premises infrastructure management.

Platform Engineer

Internal developer platforms (IDPs) have emerged as a more recent solution to cutting the Gordian knot of balancing developer productivity with system control and stability. Platform engineers design and maintain IDPs that aim to provide developers with self-service capabilities to independently manage the operational aspects of the entire application lifecycle — from CI/CD workflows; to infrastructure provisioning and container orchestration; to monitoring, alerting, and observability.

Many devs simply don't want to do ops — at least not in the traditional sense. As a creative artist, the developer doesn't want to worry about how infrastructure works. So, crucially, the platform is conceived of as a product, achieving control by creating a compelling self-serve developer experience rather than by imposing mandated standards and processes.

Navigating the Ambiguity: Clarifying Role Expectations

So, where does this leave candidates for all these various roles? Probably for now — and at least until there is a greater commonality of DevOps implementation approaches — the only realistic answer is to make sure you ask everything you need to during an interview clarifying both the role expectations and the organizational context into which you will be hired. 

For recruiters, you may decide for various reasons to cast a wide net, stuffing job postings with trending keywords. But ultimately, the details about a candidate's experience and capabilities must come out in the interview process and conversations with references.  

From my perspective, whether you are a DevOps, Platform Engineer, Cloud Engineer, or even an SRE, ensuring you are supporting developers with all their operational needs will go a long way in helping them focus on creating the next best thing.