#cloudengineering

Companies that release improvements quickly often stay ahead of competitors. Modern SaaS workflows rely heavily on CI/CD pipelines, automation, and cloud-native infrastructure. Faster iteration helps businesses respond to user feedback more effectively.

Getting your Red Hat Certified Engineer (RHCE) certification is one of the fastest ways to level up your IT career! Whether you want to excel as a Linux system administrator, DevOps engineer, or cloud professional, RHCE gives you the technical edge you need in 2026 and beyond.

Read the full guide →

🔹 What is RHCE?

RHCE (Red Hat Certified Engineer) is a globally recognized certification for advanced Linux professionals. Building on RHCSA, it focuses on Linux system administration, server automation, and configuration management using tools like Ansible. RHCE is ideal for IT professionals seeking roles in enterprise Linux environments, DevOps, and cloud infrastructure.

💼 Top Job Roles After RHCE

Linux System Administrator – Manage and secure enterprise Linux servers

DevOps Engineer – Automate workflows and CI/CD pipelines using Ansible & Jenkins

Cloud Support Engineer – Work with AWS, Azure, or Google Cloud Linux servers

Automation Engineer – Design automation solutions for infrastructure efficiency

Infrastructure Specialist – Architect, deploy, and maintain secure IT environments

RHCE bridges traditional Linux administration and modern cloud & DevOps workflows, making it highly valuable for IT careers.

📈 Why RHCE Still Matters in 2026

High Demand for Linux Experts – Companies rely on Linux servers worldwide

Cloud & DevOps Synergy – RHCE skills are transferable to cloud platforms and automation roles

Global Recognition – RHCE certification is respected by employers globally

Career Growth Opportunities – Opens pathways to roles like SRE, Cloud Architect, and Automation Consultant

🛠 Career Roadmap After RHCE

Start with RHCSA to master Linux fundamentals

Advance to RHCE (EX294) for automation and system management skills

Learn cloud technologies (AWS, Azure, Google Cloud) and DevOps practices

Explore advanced IT roles like Site Reliability Engineer, Cloud Architect, or Automation Consultant

Register Now: https://lnkd.in/d9D7h3rC

🔗 References & Resources

Original article: Career after RHCE – Jobs & Growth Opportunities

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Introduction: A New Era in Software Delivery

The rise of DevOps over the past decade marked a revolution in how development and operations teams collaborated, accelerated release cycles, and improved system reliability. However, as organizations scale and their infrastructure becomes increasingly complex, a new evolution is underway—Platform Engineering.

Platform engineering is now transforming how DevOps functions, reshaping responsibilities, team structures, and toolchains. It's more than just another buzzword—it’s a strategic approach that enhances developer productivity, governance, and scalability by creating internal developer platforms (IDPs).

This article explores how platform engineering is reshaping DevOps roles, the key differences between the two, the challenges it solves, and why this shift is critical in 2025 and beyond.

What Is Platform Engineering?

Platform engineering is the discipline of designing, building, and maintaining self-service internal platforms that support developers by abstracting infrastructure complexity. These platforms provide reusable components, CI/CD pipelines, deployment tools, monitoring integrations, and secure environments—everything developers need to deploy software safely and quickly.

According to Gartner, by 2026, 80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools.

Key Objectives:

Provide golden paths to developers (predefined best-practice workflows)

Offer self-service capabilities (e.g., environment provisioning)

Reduce cognitive load on dev teams

Standardize and automate infrastructure practices

DevOps: A Quick Recap

Before understanding the shift, let’s revisit the traditional DevOps model. DevOps unifies software development (Dev) and IT operations (Ops) through automation, CI/CD, infrastructure as code (IaC), and monitoring practices.

DevOps Focus:

Continuous integration and delivery

Breaking silos between dev and ops

Automating repetitive tasks

Increasing release velocity

Monitoring and incident response

In many teams, DevOps engineers juggle responsibilities across development support, infrastructure management, pipeline configuration, and tooling—often leading to burnout, inconsistency, or bottlenecks.

Why Platform Engineering Is Gaining Momentum

As organizations mature in their DevOps journey, a need for better scalability, governance, and specialization arises. Here’s why platform engineering is the answer:

1. Too Much Complexity for Developers

Cloud-native technologies like Kubernetes, service meshes, and serverless platforms are powerful but hard to manage. Developers are overwhelmed by infrastructure concerns—Platform Engineering simplifies this by offering opinionated tools and environments.

2. Inconsistent Practices Across Teams

Without centralized platforms, teams adopt their own DevOps practices, leading to tool sprawl, duplicated effort, and compliance risks. Platforms bring consistency across teams.

3. DevOps Burnout and Overload

DevOps roles are broad. From maintaining Jenkins pipelines to debugging deployment issues, DevOps engineers are often stretched thin. Platform engineering redistributes this load by systematizing and scaling responsibilities.

4. Need for Developer Velocity

Engineering productivity becomes a strategic asset as organizations grow. Platform Engineering offers self-service capabilities that let developers deploy code without waiting for ops support.

How Platform Engineering Redefines DevOps Roles

The rise of platform engineering doesn’t eliminate DevOps—it elevates and refocuses it. Here’s how DevOps roles are being reshaped:

1. From Generalists to Specialists

DevOps engineers are evolving from “do-it-all” generalists to specialists who build and maintain platform components. For instance, instead of creating ad hoc CI/CD pipelines, they design reusable templates and workflows for the entire org.

2. Focus on Platform Usability

Engineers now focus on developer experience (DX)—designing interfaces (often via portals) where developers can request environments, deploy applications, or access logs with ease.

3. Greater Emphasis on Governance and Policy

Security and compliance are increasingly enforced at the platform level. DevOps now collaborates with security teams to bake policy as code, identity management, and access controls into the platform.

4. Increased Collaboration with Product Teams

Platform engineers work closely with software engineers to understand pain points and build “golden paths”—well-documented, automated workflows tailored to team needs.

5. Using Product Thinking in Engineering

Platforms are now treated as internal products. DevOps teams (now platform teams) gather feedback, measure usage, track satisfaction, and iterate—applying product management principles to infrastructure.

Platform Engineering Components DevOps Teams Must Learn

To thrive in this new paradigm, DevOps professionals should embrace the following core technologies and concepts:

🔹 Internal Developer Portals

E.g., Backstage, Port, and Humanitec—customizable interfaces for developers to access all internal tools and services.

🔹 Infrastructure as Code (IaC)

Tools like Terraform, Pulumi, or Crossplane continue to be essential—but managed centrally within the platform.

🔹 Platform APIs & Self-Service Interfaces

APIs, GitOps workflows, or UI-based dashboards that allow developers to provision environments, deploy code, or spin up test infrastructure.

🔹 Kubernetes Platform Layer

Many platforms are built on Kubernetes. Tools like Argo CD, Flux, and Helm help automate deployment and environment control.

🔹 Observability & Monitoring as a Service

Platform teams embed tools like Prometheus, Grafana, Datadog, or OpenTelemetry to offer monitoring out of the box.

How to Transition Your DevOps Team into Platform Engineers

Start with a Pilot: Identify a use case (e.g., standardizing CI/CD or environment provisioning) and build a simple platform experience.

Form a Dedicated Platform Team: Consolidate DevOps talent into a team focused on shared tooling, not firefighting.

Measure Developer Experience: Track metrics like deployment frequency, lead time, and developer satisfaction.

Iterate Like a Product: Treat your platform as an evolving internal product—listen, improve, and scale.

Invest in Training: Help your DevOps team upskill in platform tools, APIs, and developer UX principles.

Conclusion: DevOps Isn't Dying—It's Maturing

Platform engineering isn’t replacing DevOps; it’s maturing it. DevOps laid the groundwork for automation and collaboration, and now platform engineering takes it to the next level—standardizing, scaling, and productizing infrastructure for maximum developer impact.

In 2025 and beyond, organizations that adopt platform engineering will gain a strategic edge: better software delivery, happier developers, and a foundation built for innovation.

Ever wondered who keeps your favorite apps running smoothly at all hours? It’s cloud engineers! This article dives into their world, exploring roles, skills, and career paths. If you’re curious about cloud technology and want to learn more, check out this comprehensive guide. Get inspired and dive deeper at CV Guys!