Skills deep-dive

DevOps & Platform Engineering

Section 1 / The Floor

The minimum skill expectations for the role

7MUST-HAVE SKILLS
Skills · ranked by prevalence
01Python54.1%the automation language of ops
02AWS43.8%the default cloud to automate
03Kubernetes35.1%where workloads actually run
04Terraform27.7%infrastructure written as code
05Docker25.4%the unit of deployment
06Jenkins22.1%the pipeline workhorse
07Ansible13.4%configuration at fleet scale
Floor skills derived from validated fresher-accessible postings across Indian job boards for the devops & platform engineering profile.
Section 2 / Pick Your Track

Where to specialize once you're in

01

CLOUD / KUBERNETES

← THE DEFAULT
FA share43.4%of fresher postings
Entry pay4to ₹11LPA · min to typical · profile-wide
On top of the floor
GCPAzureCloud-Native Design

MNC and GCC led, with services firms, product companies and mid-size shops filling in.

02

INFRA / SYSADMIN

← THE OPS FOUNDATION
FA share21.6%of fresher postings
Entry pay4to ₹11LPA · min to typical · profile-wide
On top of the floor
Linux

Spread across services firms, mid-size shops and MNCs, with some elite tech.

03

SRE

← THE PAY LEADER
FA share18.7%of fresher postings
Entry pay4to ₹11LPA · min to typical · profile-wide
On top of the floor
MonitoringIncident Management

MNC and GCC led with the strongest elite-tech presence of the devops tracks.

04

CI/CD

← THE PIPELINE TRACK
FA share12.3%of fresher postings
Entry pay4to ₹11LPA · min to typical · profile-wide
On top of the floor

Nothing beyond the floor

Strongly MNC and GCC concentrated, with a thin spread of other employers.

05

NETWORK ENGINEERING

← THE NETWORK-OPS TRACK
FA share3.3%of fresher postings
Entry pay4to ₹11LPA · min to typical · profile-wide
On top of the floor
Incident Management

Dominated by Indian IT services firms, with a modest elite-tech slice.

Small sample, so the network track's numbers are directional only.
Track shares and entry-level salary ranges (minimum to mean) derived from validated fresher-accessible postings across Indian job boards for the devops & platform engineering profile.
Section 3 / The Skill Arc

The skills that grow with your seniority

A

Senior skew - what skills grow more important with seniority.

Rising · FA → SR
01Kubernetes
FA35.1%
SR55.5%
+20.4 pp
02Docker
FA25.4%
SR37.9%
+12.5 pp
03Microservices
FA10.7%
SR22.8%
+12.1 pp
04Azure DevOps
FA16.3%
SR27.7%
+11.4 pp
05Go
FA16.3%
SR26.8%
+10.4 pp
06Azure
FA28.1%
SR38.3%
+10.2 pp
07AWS
FA43.8%
SR52.4%
+8.6 pp
08Terraform
FA27.7%
SR35.9%
+8.2 pp
09Java
FA27.3%
SR35.5%
+8.2 pp
Fading · FA → SR
01Problem Solving
FA32.2%
SR24.7%
-7.6 pp
02Linux
FA27.5%
SR21.4%
-6.0 pp
B

Portability - what skills remain valued in other profiles.

Portable · cross-profile spread (out of 15)
01Python
11/15
Data Science & ML78%AI & LLM Applications76%Data Engineering73%
02AWS
10/15
Data Engineering44%Fullstack Development41%Backend Development39%
03Kubernetes
8/15
Security Engineering27%Backend Development22%AI & LLM Applications20%
04Docker
8/15
Backend Development28%AI & LLM Applications24%Fullstack Development21%
05Azure
7/15
Data Engineering30%AI & LLM Applications28%Security Engineering26%
06GCP
7/15
AI & LLM Applications26%Security Engineering25%Data Engineering21%
07Linux
3/15
Security Engineering19%Fullstack Development11%
08Cloud-Native Design
3/15
Backend Development18%Fullstack Development12%
09Jenkins
3/15
QA & Testing20%Backend Development12%
10Go
3/15
Security Engineering20%Backend Development18%
Locked · stays inside the profile
01Incident Management1/15
02Grafana1/15
03Ansible1/15
04Terraform2/15
05Monitoring2/15
06Bash2/15
Skill arc derived from validated postings across Indian job boards for the devops & platform engineering profile, comparing fresher-accessible and senior prevalence. Cross-profile spread computed at a one-in-ten prevalence threshold across all 15 profiles.
Section 4 / Targeting your Company Pool

Which skills each employer tier wants

MAANG and Tier-1 Global Tech

n = 396usable
CompaniesGoogleAmazonMetaAtlassianCloudflare
Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
59.1%
Distributed Systems
2.3%
+56.8 pp
58.3%
Java
4.8%
+53.5 pp
48.5%
C/C++
0.4%
+48.1 pp
54.8%
Python
12.4%
+42.4 pp
32.6%
Scalability
1.4%
+31.1 pp
32.1%
Code Reviews
2.9%
+29.2 pp
26.8%
Design Patterns
0.5%
+26.2 pp
31.3%
Cloud Architecture
5.2%
+26.1 pp
28.3%
Cloud-Native Design
5.0%
+23.3 pp

IT Services & BPO

n = 558usable
CompaniesTCSInfosysWiproLTIMindtreeHCL
Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
10.6%
Root Cause Analysis
76.0%
-65.4 pp
7.1%
Test Automation
69.0%
-61.9 pp
0.5%
Test Case Design
59.0%
-58.5 pp
1.5%
Requirements Analysis
55.4%
-53.9 pp
1.0%
Report Generation
53.8%
-52.8 pp
0.5%
Software Validation
49.5%
-49.0 pp
23.2%
Monitoring
67.7%
-44.5 pp
22.7%
SDLC
59.7%
-37.0 pp
8.8%
Performance Analysis
36.7%
-27.9 pp
Company-pool skills derived from validated postings across Indian job boards for the devops & platform engineering profile, scoped to two company classes: MAANG and Tier-1 Global Tech, and IT Services & BPO.