Why EdTech Companies Are Hiring More Cloud Engineers in 2026

// k6 load test simulating learners starting a mock test
// run: k6 run exam-load-test.js
import http from "k6/http";
import { check, sleep } from "k6";

export const options = {
  stages: [
    { duration: "1m", target: 200 },   // learners arriving
    { duration: "2m", target: 1000 },  // exam start rush
    { duration: "1m", target: 0 },
  ],
};

export default function () {
  const res = http.get("https://staging.example.test/api/exam/start");
  check(res, { "status 200": (r) => r.status === 200 });
  sleep(1);
}

# AWS CLI: add capacity before a scheduled exam (times in UTC)
aws autoscaling put-scheduled-update-group-action \
  --auto-scaling-group-name exam-portal-asg \
  --scheduled-action-name pre-exam-scale-up \
  --start-time 2026-11-20T03:00:00Z \
  --min-size 10 --max-size 40 --desired-capacity 20

# Scale back down after the exam window
aws autoscaling put-scheduled-update-group-action \
  --auto-scaling-group-name exam-portal-asg \
  --scheduled-action-name post-exam-scale-down \
  --start-time 2026-11-20T08:00:00Z \
  --min-size 2 --max-size 10 --desired-capacity 2

resource "aws_s3_bucket" "lessons" {
  bucket = "edtech-lesson-videos-12345"
}

# Move old recordings to cheaper storage, delete raw uploads later
resource "aws_s3_bucket_lifecycle_configuration" "lessons" {
  bucket = aws_s3_bucket.lessons.id

  rule {
    id     = "archive-old-recordings"
    status = "Enabled"
    filter { prefix = "recordings/" }
    transition {
      days          = 90
      storage_class = "STANDARD_IA"
    }
  }

  rule {
    id     = "clean-raw-uploads"
    status = "Enabled"
    filter { prefix = "raw/" }
    expiration { days = 30 }
  }
}

# Give a learner time-limited access to a private lesson file
# pip install boto3
import boto3

s3 = boto3.client("s3")
url = s3.generate_presigned_url(
    "get_object",
    Params={"Bucket": "edtech-lesson-videos-12345",
            "Key": "courses/python/lesson-04.mp4"},
    ExpiresIn=3600,     # link works for one hour
)
print(url)
# Paid content stays private; only enrolled learners get links.

# Monthly cost grouped by the 'Team' tag (AWS Cost Explorer CLI)
aws ce get-cost-and-usage \
  --time-period Start=2026-10-01,End=2026-11-01 \
  --granularity MONTHLY \
  --metrics UnblendedCost \
  --group-by Type=TAG,Key=Team

# Tag every resource with Team, Environment and Product
# so the bill shows who is spending what.

Edtech cloud security checklist

[ ] MFA for all console users; no shared accounts
[ ] Least-privilege roles for staff, vendors and apps
[ ] Learner data encrypted at rest and in transit
[ ] Storage buckets private by default
[ ] Paid content served through signed URLs
[ ] Database backups tested by restoring
[ ] Audit logging enabled and reviewed
[ ] Extra care for any data about minors

Project: Scalable mini learning platform

1. Static site on object storage + CDN
2. Lesson videos in private storage, served via signed URLs
3. Small API (containers) for progress tracking
4. Managed database for learner progress
5. Auto scaling + a scheduled scale-up before 'exam time'
6. Load test with k6 and a short results note
7. Budget alert, tags and a cost estimate
8. Architecture diagram and README

Architecture decisions to document

- Why CDN: learners across India, repeated video views
- Why private storage + signed URLs: protect paid content
- Why managed database: backups and replicas handled
- Why scheduled scaling: exam times are known
- Why lifecycle rules: old recordings rarely watched
- What I would change at 10x traffic: ______

90-second pitch

"I built a small learning platform on the cloud. Videos are
private and delivered through a CDN with signed links. The
progress API runs in containers with auto scaling, and I
added a scheduled scale-up for exam start times, tested with
k6. Tags and a budget alert keep costs visible."

Then be ready to draw the architecture.