- 9 October 2026
- 10 min read
Developers build and release features as part of their daily work. However, specific DevOps teams may be involved when the feature is deployed to production. Other DevOps teams may be responsible for addressing the performance of the released feature.
It can frustrate an engineering team when no one takes ownership of a task and assumes someone else is responsible. A clear DevOps team structure answers those questions in practice.
Yet job titles alone rarely do. Platform engineers, site reliability engineers (SREs) and cloud engineers often use the same tools. Their goals, however, are different.
If you are hiring, understanding those differences can help you write better roles, set sensible expectations and give your teams the support they need. Here is how to divide the work and decide when a specialist hire makes sense.
DevOps describes how development and operations work together to deliver and run software. It involves shared ownership, automation and quick feedback. It is not a department that takes every operational task away from your developers.
Within that way of working, your company may need people focused on three areas: helping developers ship software, keeping services reliable and building the cloud environment beneath them.
Those areas often become platform engineering, SRE and cloud engineering. A small company may have one group covering all three. A larger organization may have separate teams and a clear working agreement between them.
The point is to make ownership visible. Start with the work your business needs done. Then choose the roles and reporting lines that support it. AWS’s cloud operating model guidance also stresses that teams need to understand both their own responsibilities and their dependence on other teams.
These roles overlap in tools such as Terraform, Kubernetes, CI/CD and monitoring. The easiest way to tell them apart is to ask whom they serve and what result they are expected to improve.
Function | Main Purpose | Typical Work | Main Measure of Success |
Platform Engineering | Make the path from code to production easier for developers | Self-service environments, deployment workflows, reusable templates, documentation | Developers can use the platform to deliver safely with less waiting |
SRE | Keep critical services reliable as they change | SLOs, alerting, incident response, capacity planning, toil reduction | Services meet agreed reliability goals and recover well |
Cloud Engineering | Build and govern the cloud foundation | Accounts, networks, identity, infrastructure automation, cost and security controls | Cloud environments are secure, consistent and fit for use |
A platform team builds shared capabilities that application teams can use without opening a ticket for every routine request. That might include a standard deployment pipeline, a template for a new service or a way to provision an approved database. The team’s customers are your own developers.
Treat this platform like a product. Ask developers where they lose time, make the common route easy to follow and improve it based on their feedback. The CNCF platform engineering maturity model describes a shared responsibility relationship between platform providers and the teams using their capabilities.
SREs use engineering methods to keep services dependable. They help teams define service level objectives (SLOs), create useful alerts, reduce repeated manual work and learn from incidents. For some critical services, they may share production support and on-call duties with application teams.
They need room to fix recurring problems, not just answer alerts. Google Cloud’s guide to SRE team organization describes several possible team models, including SREs focused on specific services and teams supporting shared infrastructure. Your choice depends on where reliability work is concentrated.
Cloud engineers ensure teams have usable, well-controlled infrastructure. They may design account structures and networks, automate provisioning, manage access and help teams apply cost and security policies. During a migration, they may also help design the landing zone and move workloads into it.
In some companies, cloud engineers sit within the platform team. In others, they work in a separate cloud group. AWS’s example Cloud Center of Excellence structure illustrates how cloud engineering and governance can be organized together. Neither arrangement removes the need to name an owner for each task.
Imagine your company is launching an online customer portal. The application team writes the service and decides how it should behave.
That description is a starting point. The actual handoff should be written down before launch:
Decision or Task | Typical Lead | Who Else Needs to Be Involved? |
Application code and feature changes | Application team | Platform team for deployment needs |
Shared deployment tools and templates | Platform team | Application and security teams |
Cloud accounts, network and baseline controls | Cloud team | Security and platform teams |
Service SLOs and incident practices | Application team with SRE | Product owner and platform team |
Incident response | Named service on-call owner | SRE and cloud specialists as needed |
The most important row is incident response. A shared channel is useful, but it cannot replace a named person or rotation that takes the first call. Agree on escalation paths, access and communication responsibilities while the service is healthy. Review those arrangements whenever its architecture or business importance changes.
For example, if a release fails because the deployment tool is broken, the platform team should lead the tool fix while the application team decides whether to roll back. If cloud networking causes an outage, cloud engineers should investigate the foundation while the service owner coordinates the customer response. This prevents a technical handoff from becoming an ownership gap.
No universal ratio of platform engineers to SREs to cloud engineers exists. The right structure depends on how many services you run, how often they change and what happens when they fail.
If your company hasn’t invested heavily in cloud technology, it may be more efficient to combine engineers and operations staff. A small team can establish best practices for automating cloud use, deployment and production monitoring.
Using the cloud to run applications shouldn’t excuse application developers from understanding how their code runs. They should have at least a general understanding of the systems running their code.
Allow your generalist teams to be accountable for creating and modifying pieces of your system. Bring in outside support only if the team can’t identify and resolve a root cause. A team member should be able to improve the system and prevent failures before they happen.
As more development teams appear, repeated requests become costly. Several teams may maintain slightly different pipelines or ask the same engineer to create environments. This strongly signals the need to build shared, self-service capabilities.
A small platform team can start with the two or three tasks that cause the most delay. Cloud expertise can be part of that team or a close partner. Assign SRE capacity to the services with the greatest customer or revenue impact, rather than promising every application the same level of support.
If your organization is large and includes multiple business divisions and service offerings, it may make sense to have separate teams handle compliance. This way, business divisions can implement their own controls and processes while remaining in compliance.
If you have 24/7 service offerings, you also need to plan for IT service coverage outside your organization’s normal business hours. Not everyone can be at your organization all the time. While you may be tempted to create an organization chart to show coverage, it won’t actually implement service coverage.
Before opening a vacancy, list the work that is not getting done. Look at missed releases, recurring incidents, cloud risks and requests stuck in queues. Then hire for the problem you can describe clearly.
When evaluating candidates, have them walk you through problems and the choices they made. For example, a candidate for a cloud position may talk through challenges in balancing granting team members the right level of access with ensuring the team adheres to governance practices. A candidate for a site reliability position may share an incident and subsequent changes.
When crafting job listings, be deliberate. Statements such as “Own our entire cloud, platform, security and production support” may reflect multiple jobs. If your organization needs a broad first hire, describe the major responsibilities, support and constraints to give applicants a more complete picture and help you understand the most crucial skills.
Choose a few measures that show whether each function is helping the people it serves.
It is also important to take a broader view beyond individual teams and examine the end-to-end software delivery process. Use the software delivery process metrics defined by DORA to assess and discuss soft spots in the process.
Although you may have a plethora of data from various sources, measuring its impact on the overall process and the team may help define the process more clearly.
This may provide insight into how the team feels about the current process and whether the data supports the team in achieving a given outcome.
Platform, SRE and cloud specialists can all strengthen the way your company delivers software. First, decide which problem needs an owner now. Give each role a clear remit, keep application teams involved in production and revisit the boundaries as your services grow.
At SPECTRAFORCE, we help employers find technology professionals whose experience fits the work behind the title. Whether you need a platform engineer to simplify delivery, an SRE to improve reliability or a cloud engineer to build a stronger foundation, we can help you shape the requirement and identify candidates.
If you are looking for a DevOps staffing agency, start by telling us where your team needs the most support.
Integrated Marketing Manager at SPECTRAFORCE focused on brand visibility, content strategy, search, and thought leadership.
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