LinkedIn Profile Checklist for Aspiring Cloud Engineers

Formula: Target role | Cloud + key services | Tools

Aspiring Cloud Engineer | AWS (EC2, VPC, IAM, S3) | Terraform
Cloud Support Fresher | AWS, Linux, Networking | Bash
Junior DevOps & Cloud | AWS, Docker, GitHub Actions | Terraform

Only list services you have used in a lab or project.

I am a cloud engineering fresher who learns by building.

What I have built:
- A two-tier web app on AWS: public load balancer, private EC2,
  RDS in private subnets, IAM roles and CloudWatch alarms
- All infrastructure written in Terraform and stored on GitHub
- A cost note for each lab, with teardown steps

Skills: AWS core services, Linux, networking basics, Terraform,
Docker, Git

Open to cloud support and junior cloud engineer roles.
Project links are in Featured.

Project: Two-Tier Web App on AWS
Skills: AWS VPC, EC2, RDS, IAM, CloudWatch, Terraform

Description:
Designed a VPC with public and private subnets across two
Availability Zones. Web servers run in private subnets behind
an Application Load Balancer; RDS has no public access. IAM
roles replace access keys. CloudWatch alarms alert on high CPU.
Everything is created and destroyed with Terraform.

Repo: github.com/<your-username>/aws-two-tier

resource "aws_db_instance" "app" {
  identifier             = "portfolio-db"
  engine                 = "postgres"
  instance_class         = "db.t3.micro"
  allocated_storage      = 20
  username               = "appadmin"
  password               = var.db_password      # from a secret, never hardcoded
  db_subnet_group_name   = aws_db_subnet_group.private.name
  vpc_security_group_ids = [aws_security_group.db.id]
  publicly_accessible    = false
  storage_encrypted      = true
  skip_final_snapshot    = true                 # practice account only
}

My EC2 instance in a private subnet could not reach the
internet to install updates. The fix: a NAT gateway in the
public subnet and a route from the private subnet to it.

Lesson: private subnets need a planned path out, and NAT
gateways cost money, so I tear the lab down after use.

How do you handle updates for private instances?

#aws #cloudcomputing #learning

def lab_cost_note(resources: dict, hours: float) -> str:
    """resources: name -> estimated hourly cost you looked up
    on the provider's pricing page for your region."""
    total = sum(resources.values()) * hours
    lines = [f"{n}: {c} per hour" for n, c in resources.items()]
    return "\n".join(lines + [f"Estimated total for {hours} h: {total:.2f}"])

# Fill in the values you looked up yourself; these are placeholders.
print(lab_cost_note({"nat_gateway": 0.0, "ec2_small": 0.0}, hours=3))

[ ] Clear, professional photo
[ ] Headline: role | cloud + services | tools
[ ] Location set correctly
[ ] Open to work set for cloud roles
[ ] Custom profile URL
[ ] Contact info includes GitHub

[ ] About: story, proof, skills, call to action
[ ] Featured: best project, diagram, write-up
[ ] Projects: 2-3 with architecture and repo links
[ ] Skills: specific services and tools you used
[ ] Certifications: only earned ones, with dates
[ ] Experience: internships or training labs, honestly described

[ ] One lab post every week or two
[ ] Thoughtful comments on cloud posts
[ ] Personal notes on connection requests
[ ] Update projects when you add new labs
[ ] Remove anything you cannot explain in an interview