The Rise of the Platform Engineer

devops platform-engineering sre

First there was Ops. Then DevOps. Then SRE. Now Platform Engineering is emerging. Are these just job title inflation, or is there something real here?

The Evolution

Traditional Ops (Pre-2010)

Developers write code → throw over wall → Ops deploys and maintains

Problems: slow, blame-shifting, siloed.

DevOps (2010s)

“You build it, you run it.” Developers take responsibility for production.

Problems: Every team reinventing the wheel. Cognitive overload on developers.

SRE (Google’s Model)

Software engineering applied to operations. Error budgets, SLOs, toil reduction.

Problems: SRE teams become bottlenecks. Hard to scale.

Platform Engineering (2020+)

Build internal platforms that enable developer self-service. Abstract away infrastructure complexity.

What is Platform Engineering?

Platform Engineers build the tools and systems that developers use to deploy and operate their applications.

┌─────────────────────────────────────────────────┐
│               Developer Interface               │
│  (CI/CD, Deployment, Observability, Secrets)   │
├─────────────────────────────────────────────────┤
│              Internal Platform                  │
│   (APIs, Automation, Self-Service Portals)     │
├─────────────────────────────────────────────────┤
│            Infrastructure Layer                 │
│      (Kubernetes, Cloud, Networking)           │
└─────────────────────────────────────────────────┘

Internal Developer Platform (IDP)

The product Platform Engineers build:

Components

Example: Backstage

Spotify’s open-source IDP:

# catalog-info.yaml
apiVersion: backstage.io/v1alpha1
kind: Component
metadata:
  name: user-service
  description: User management API
  tags:
    - python
    - django
spec:
  type: service
  lifecycle: production
  owner: team-platform

Register services, visualize dependencies, access docs—one portal.

Platform Teams vs DevOps Teams

DevOps TeamPlatform Team
Help dev teams deployBuild tools dev teams use
Embedded in product teamsCentralized, product-focused
Ticket-based supportSelf-service products
Manual interventionsAutomated platforms

Key difference: Platform treats infrastructure as a product with developers as customers.

Self-Service is the Goal

Bad experience:

Developer: "I need a database"
DevOps: "File a ticket"
[3 days later]
DevOps: "Done, here are the credentials"

Good experience:

Developer: 
$ platform create database --type postgres --env staging
Created: postgres-staging-user-service
Connection string in: secrets/postgres-staging

Platform Products

Deployment

# developer writes
apiVersion: platform.company.io/v1
kind: Deployment
metadata:
  name: user-service
spec:
  replicas: 3
  image: user-service:v1.2.3
  
# platform translates to
# - Kubernetes Deployment
# - Service
# - Ingress
# - HPA
# - PodDisruptionBudget
# - NetworkPolicy

Developers don’t write raw Kubernetes. They write simple intent.

Golden Paths

Pre-built patterns for common needs:

Templates, scaffolding, best practices included.

Developer Portal

Single pane of glass:

Measuring Success

DORA Metrics

Developer Satisfaction

Survey questions:

Adoption

Track platform usage:

Getting Started

Phase 1: Reduce Toil

Identify repetitive manual work. Automate it first.

Phase 2: Build Self-Service

Start with one thing: database provisioning, or deployment pipelines.

Phase 3: Create Golden Paths

Document best practices. Template them. Make doing the right thing easy.

Phase 4: Build the Portal

Unify the experience. Backstage, internal tools, or custom.

Common Mistakes

Building Without Users

Platforms are products. Talk to your developers. Understand their pain.

Over-Engineering

Start simple. Add complexity when needed.

Forcing Adoption

Make the platform better than the alternative. Developers will come.

Ignoring Escape Hatches

Sometimes teams need to go off-platform. Allow it, just make it harder than staying on-platform.

Team Structure

Typical platform team:

Treat platform like a product team.

Final Thoughts

Platform Engineering is the maturation of DevOps. Instead of every team solving infrastructure problems, centralize that expertise. Build products developers love.

The goal isn’t to control developers—it’s to enable them.


Build paved roads. Let developers drive fast.

All posts