Tech Queen

Hot take: Certs don’t get you a cloud job. Evidence does. I broke down a practical learning path from zero to your first cloud role: • skills that compound • projects that prove competence • mistakes that keep beginners stuck

@e_opore Thank you 😊

@devmarye Very useful, Tech Queen!

Free AWS advice I wish I got earlier: Set up billing alerts before building anything. Cloud doesn’t punish mistakes. It charges for them.

@techyoutbe A solid start, mastering Linux and Git early, builds the mental model for everything else in the cloud. I would add the following: focus on understanding how these tools integrate into real CI/CD pipelines.

🚀 DevOps / Cloud Engineering Career Roadmap Stage 1 — Junior DevOps Engineer (0–2 years) ← You Are Here Focus: Build your foundation. Learn the core tools and workflows. Key Skills to Master: ∙Linux fundamentals (file system, networking, bash scripting) ∙Git & version control (branching, PRs, merge conflicts) ∙CI/CD basics — GitHub Actions, Jenkins, or GitLab CI ∙Containers — Docker (build, run, push images) ∙Cloud basics — AWS or Azure (compute, storage, networking) ∙Infrastructure concepts (VMs, load balancers, DNS) Certifications to Target (if needed for the role): ∙☁️ AWS Cloud Practitioner or AZ-900 (Azure Fundamentals) ∙🐧 Linux Foundation Certified System Administrator (LFCS) Daily Activities: ∙Writing and maintaining CI/CD pipelines ∙Managing deployments and monitoring alerts ∙Helping with infrastructure provisioning tickets Stage 2 — Mid-Level DevOps / Cloud Engineer (2–4 years) Focus: Own workflows end-to-end. Start designing, not just maintaining. Key Skills to Master: ∙Infrastructure as Code — Terraform or Pulumi ∙Kubernetes (deployments, services, Helm charts) ∙Monitoring & observability — Prometheus, Grafana, Datadog ∙Secrets management — Vault, AWS Secrets Manager ∙Networking deep dive — VPCs, subnets, firewalls, VPNs ∙Scripting & automation — Python or advanced Bash Certifications to Target: ∙☁️ AWS Solutions Architect Associate or AZ-104 (Azure Administrator) ∙🐳 Certified Kubernetes Administrator (CKA) Daily Activities: ∙Designing and deploying cloud infrastructure ∙Leading CI/CD pipeline improvements ∙Collaborating with dev teams on deployments and incidents Stage 3 — Senior DevOps / Cloud Engineer (4–7 years) Focus: Lead technical decisions. Mentor others. Drive reliability and scalability. Key Skills to Master: ∙Multi-cloud or hybrid cloud architecture (AWS + Azure) ∙Advanced Kubernetes — autoscaling, operators, service mesh (Istio) ∙GitOps — ArgoCD or Flux ∙Cost optimization and FinOps ∙Security & compliance — DevSecOps, SAST/DAST, IAM policies ∙Disaster recovery & business continuity planning Certifications to Target: ∙☁️ AWS Solutions Architect Professional or AZ-305 (Azure Solutions Architect) ∙🔐 Certified Kubernetes Security Specialist (CKS) Daily Activities: ∙Architecting cloud solutions for new projects ∙Setting standards and best practices for the team ∙Leading incident response and post-mortems Stage 4 — Staff / Lead Cloud Engineer or DevOps Architect (7–10 years) Focus: Shape the overall platform strategy across teams. Key Skills to Master: ∙Platform Engineering — building internal developer platforms (IDPs) ∙Cloud-native architecture patterns (microservices, event-driven) ∙Enterprise networking & security architecture ∙Capacity planning and SLO/SLA ownership ∙Cross-team technical leadership and roadmapping Certifications to Target: ∙🏗️ Google Professional Cloud Architect or AWS DevOps Engineer Professional ∙TOGAF (Enterprise Architecture — optional but valuable) Stage 5 — Principal Engineer / CTO / VP of Engineering (10+ years) Focus: Business + technology strategy. Build and lead engineering orgs. ∙Define the company’s entire infrastructure vision ∙Hire, mentor, and grow engineering teams ∙Work directly with executives and clients on tech strategy ∙Drive cost, security, and reliability at organizational scale 🗺️ Quick Visual Summary Junior → Mid-Level → Senior → Staff/Architect → Principal/CTO

If you don’t understand IAM, AWS will feel frustrating. Permissions control everything. - Who can access what? - What services can talk to each other? IAM is not optional. It’s the gatekeeper of the cloud.

Which one is harder to understand in AWS? IAM or VPC?

For those learning cloud: Are you learning AWS through projects or courses?

The moment AWS starts making sense: When you stop memorizing services and start building systems. Example: User → API Gateway → Lambda → DynamoDB Now you're learning architecture.

What is your favorite AWS service?

@ram_sutraye Route 53 is one of them

@devmarye Route53 Probably the entry level concept and feature one must learn.

Let’s help beginners: What AWS service do you think is the easiest to learn?

If you're learning AWS right now: Keep going. It might feel confusing today. But one day you will look back and realize: Everything finally makes sense.

A beginner's mistake in AWS: Trying to learn all the services. You don’t need 200 services. Start with: • IAM • S3 • EC2 • VPC • Lambda Master these first.

If you're learning AWS, accept this early: You will break things. - Permissions will fail. - Deployments will crash. - Configurations will be wrong. That’s not failure. That’s how cloud engineers are made.

How long did it take you to feel comfortable using AWS?

@sher_mish_ 100%

IAM is the one that tricks almost everyone because AWS explains the parts before it explains the mental model. User = permanent identity. Role = temporary identity. Policy = rules. The real unlock is realizing most human access should end up role-based, not long-lived user creds. That shift makes half of IAM click.

What AWS concept confused you the most at first? For me, it was IAM.

Learning AWS is not a sprint. It’s a long-term skill. Some days you will feel stuck. Some days, things will suddenly click. Keep building. Keep experimenting. Consistency beats intensity in the cloud.

Certifications help. But they are not the goal. Real cloud skill comes from: • building projects • troubleshooting errors • understanding how systems connect The certificate opens the door. Your skills keep it open.

Consistency beats intensity. Studying AWS for 30 minutes daily is better than: 6 hours once a week. Small steps build expertise.

AWS can feel overwhelming at first. - Hundreds of services. - New terminology. - Complex diagrams. Don't panic. Focus on one concept at a time. Cloud mastery happens through little daily progress.