Section 1 / The Floor

The minimum skill expectations for the role

The most common fresher-accessible role in this profile, reduced to its essential skills. Target this stack to get hired quickest.

7MUST-HAVE SKILLS

Skills · ranked by prevalence

01Python58.1%the automation language of ops

02AWS39.0%the default cloud to automate

03Kubernetes31.5%where workloads actually run

04Terraform24.0%infrastructure written as code

05Docker22.2%the unit of deployment

06Jenkins18.0%the pipeline workhorse

07Ansible12.0%configuration at fleet scale

Section 2 / Pick Your Track

Where to specialize once you're in

Sub-tracks within this profile. Picking one is not optional.

01

CLOUD / KUBERNETES

← THE DEFAULT

FA share38.7%of fresher postings

Entry pay₹4to ₹12LPA · 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 share27.2%of fresher postings

Entry pay₹4to ₹12LPA · 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 share18.6%of fresher postings

Entry pay₹4to ₹12LPA · 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%of fresher postings

Entry pay₹4to ₹12LPA · 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 share%of fresher postings

On top of the floor

Nothing beyond the floor

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

Small sample, so the network track's numbers are directional only.

Section 3 / The Skill Arc

The skills that grow with your seniority

Two things. Which skills grow more important with seniority, and which carry over when switching profiles.

A

Senior skew - what skills grow more important with seniority.

Rising · FA → SR

01Kubernetes

FA31.5%

SR54.5%

+23.1 pp

02Docker

FA22.2%

SR37.2%

+15.0 pp

03Microservices

FA9.4%

SR22.6%

+13.2 pp

04Azure

FA24.5%

SR37.5%

+13.0 pp

05AWS

FA39.0%

SR51.6%

+12.7 pp

06Go

FA14.1%

SR26.1%

+12.0 pp

07Java

FA23.9%

SR35.6%

+11.8 pp

08Azure DevOps

FA15.1%

SR26.7%

+11.6 pp

09Terraform

FA24.0%

SR35.2%

+11.2 pp

Fading · FA → SR

01Git Flow

FA26.8%

SR14.8%

-12.0 pp

02APIs

FA18.8%

SR6.9%

-12.0 pp

03Agentic AI

FA13.0%

SR2.1%

-10.8 pp

04Linux

FA31.7%

SR21.1%

-10.5 pp

05Problem Solving

FA33.1%

SR24.4%

-8.7 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

Section 4 / Targeting your Company Pool

Which skills each employer tier wants

Two distinct company pools with different skill profiles.

MAANG and Tier-1 Global Tech

n = 437usable

CompaniesGoogleAmazonMetaAtlassianCloudflare

Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO

% in MAANGSkill% in IT ServicesSkew

59.5%

Distributed Systems

2.3%

+57.2 pp

58.1%

Java

5.3%

+52.8 pp

48.5%

C/C++

0.4%

+48.2 pp

54.7%

Python

12.5%

+42.2 pp

31.6%

Scalability

1.4%

+30.2 pp

32.3%

Code Reviews

3.0%

+29.3 pp

26.8%

Design Patterns

0.7%

+26.1 pp

29.3%

Cloud Architecture

5.3%

+24.0 pp

25.9%

Go

3.0%

+22.9 pp

IT Services & BPO

n = 568usable

CompaniesTCSInfosysWiproLTIMindtreeHCL

Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO

% in MAANGSkill% in IT ServicesSkew

10.1%

Root Cause Analysis

74.6%

-64.6 pp

6.9%

Test Automation

67.8%

-60.9 pp

0.5%

Test Case Design

57.9%

-57.5 pp

1.6%

Requirements Analysis

54.4%

-52.8 pp

0.9%

Report Generation

52.8%

-51.9 pp

0.5%

Software Validation

48.6%

-48.1 pp

21.1%

Monitoring

66.9%

-45.8 pp

24.0%

SDLC

58.6%

-34.6 pp

8.2%

Performance Analysis

36.1%

-27.9 pp