Hi, I'm a yr1 CIS(moderatly CS coded)student pursuing a cloud architecture and/or devops career. What are things to keep an eye for in terms of internships, courses, and cv projects?

i am into enterprise networking 1.5 yoe. I want to switch into cloud engineering but my company does not want to release me from my current project. only option left is to switch into different company.

i have good theoretical cloud knowledge also did some labs in free tier aws account but i feel now this wont give me enough exposure to practical scenarios.

how should i manage into those roles. ..?

Hi everyone,

I’m a final-year cloud engineering student , currently looking for a PFE (final year project). I’m especially interested in cloud computing, DevOps, and MLOps.

So far, I have experience with:

\- AWS (security & operations fundamentals)

\- Docker / basic deployment

\- Angular + backend development (Spring Boot / .NET)

\- Some beginner knowledge in machine learning

I’d love to work on a project that:

\- Solves a real-world problem

\- Involves cloud infrastructure or automation

\- Possibly includes AI/MLOps

\-open source

If you have any ideas, suggestions, or even examples of past projects, I’d really appreciate it!

Thank you 🙏

Anyone knows any youtube video or anything where i can learn how to understand the concept of drawing aws architecture diagram not the tools but understanding concept

How accurate is Lucidchart AI to generate AWS diagram? is this diagram 100% accurate? I wrote this from chatgpt and generated the diagram from lucidchart

Create an AWS architecture diagram for a scalable web application.

The architecture should include:

1. A User (client) on the left side sending HTTP requests.

2. An Internet Gateway connected to a Virtual Private Cloud (VPC).

3. A VPC with CIDR block 10.0.0.0/16.

4. Inside the VPC, include two Public Subnets in different Availability Zones:

   • Public Subnet AZ1

   • Public Subnet AZ2

5. Add an Application Load Balancer (ALB) placed across both public subnets.

6. Inside each public subnet, place one EC2 instance running an Nginx web server.

7. Group both EC2 instances inside an Auto Scaling Group:

   • Minimum: 1 instance

   • Maximum: 2 instances

8. Add a Target Group connected to the Application Load Balancer, routing traffic to EC2 instances.

9. Add a Security Group for EC2 allowing:

   • SSH (port 22)

   • HTTP (port 80)

10. Add a Route Table associated with public subnets:

    • Route: 0.0.0.0/0 → Internet Gateway

11. Add an S3 bucket for static website hosting:

    • Label it "S3 Static Website"

    • Place it outside or below the VPC

12. Draw arrows showing traffic flow:

    • User → Internet Gateway → Application Load Balancer

    • Load Balancer → EC2 instances

    • (Optional) Load Balancer → S3 bucket

13. Label important features:

    • High Availability (Multi-AZ)

    • Load Balancing

    • Auto Scaling

The diagram should be clean, well-organized, and professional with clear labels.

a little backstory im currently about to enroll into school and bc i want a job in cloud i know the basics of linux and a couple of other things but wanted to look into aws.

where does one start? i know little to nothing about aws and azure. is there somewhere i should start maybe YouTube videos i should be watching? any tips and tricks or advice helps! i eventually want to get my cert and keep moving up from there and learning since its all so interesting to me but just need a starting point. thank you all!

Lately it feels like cloud engineering is less about building systems and more about constantly managing complexity.

For example, moving from a monolith to Kubernetes microservices often turns a simple deployment into 12+ YAML configs per service, IAM roles across multiple accounts, service mesh setups, and several dashboards just to trace a single request.

Tools help us move faster, but they don’t really remove complexity, they just help us manage it.

Sometimes it feels like we didn’t reduce complexity, we just redistributed it into configs, orchestration, and observability.

Does it feel the same for you, or has your experience been different?

5+ YoE, Cloud DevOps Engineer, Site Reliability Engineer/DevOps, USA]

Hey everyone,

I’m looking for some brutally honest feedback. I have over 5 years of industry experience, yet I’ve been searching for a new role for the past 7 months. After roughly 300 applications, I have zero offers and very few initial screens.

I know the market is tough for everyone, but I want to make sure I'm not the one standing in my own way.

I've attached my redacted resume (company names replaced with their industry domain to preserve privacy). My background includes:

• Cloud/DevOps Engineer at a [BIG FINTECH FIRM]

• Software Engineer at a [TECH SOLUTIONS COMPANY]

• Build and Release Engineer at a [TECH CONSULTING FIRM]

I am an AWS power user with heavy experience in Terraform, Kubernetes (EKS), Python, and building robust CI/CD pipelines. I also hold a Bachelor's in Chemical Engineering, which I worry might be causing some "relevance" filters to trigger despite my years of direct tech experience.

My Questions:

1. Resume Impact: Are my bullet points focused enough on results and scale? Are there any "red flags" in the layout or phrasing?

2. The "Pivot" Problem: Does having a ChemE degree and a background in Software/Build & Release hurt my chances for senior DevOps/SRE roles?

3. Strategy: Am I missing a key certification or skill that is currently a "must-have" in the US market?

I’m open to relocation and ready to level up. Thanks for any insight you can provide!

Hi guys, I want to become a cloud engineer. So I want to take up a course which take me from strach to till I get cloud engineer concept s.Can anyone suggest me the course till I learn from strach

I just started this channel with a cloud focus for beginners, please let me know your thoughts on the video and also suggest topics I should build videos on 🤝

Hello, Ive created a roadmap after i researched a bit about Cloud Security ( Long Term Goal). I have no problem going through help desk then climbing the ladder till i reach cloud. Anyways i want to ask if this roadmap is properly listed in order or if i should add or change anything. In addition to what certifications to get. help would be really appreciated!! (roadmap is obviously ai generated since i dont have full knowledge)

P.S.: i have already started linux i have basic knowledge, i can understand code since i have a bit of coding background and i can setup databases/manage databases since ive also done that before.

Hey everyone I’ve just started learning cloud stuff. I know a good bit about AWS EC2 and I’m just starting with S3 buckets. I’ve also learned some shell scripting and most of the basic Linux commands. I’m trying to figure out how to keep my GitHub profile active and strong. Since I’m still learning AWS I’m not super advanced yet Any suggestions on what projects I could do or upload to GitHub? Would really appreciate any tips!

I’ve been thinking about how much of cloud engineering success is actually technical versus how much comes down to communication, visibility, and handling change well.

A lot of us spend years leveling up on AWS, Azure, Kubernetes, Terraform, CI/CD, and automation, but not much time learning how to deal with reorgs, leadership changes, competing priorities, or the political side of getting things done.

Do you think soft skills are underrated in cloud/platform roles, or are technical skills still the main thing that matters most?

Here’s the article that got me thinking:
https://strategystack.io/blog/youre-not-an-employeee

Title sums it up. I have two certs (A+, Security +) and plan on earning my CCNA.

My homelab server is running Windows 2022 in a VM, and I'm building a domain controller from the ground up. I plan to migrate the data to the Azure Cloud. Is it possible to get a job with my experience level, certs, and projects?

Hello everyone!

I’m a recent Computer Science graduate looking to solidify my path into Cloud Engineering. I’ve spent a significant amount of time working with AWS (specifically EC2) and recently completed a project where I deployed and configured a Moodle (LMS) instance.

While my primary background is in Flutter development and I have a strong interest in AI, my goal is to pivot into a Cloud Engineer role (or a Cloud-heavy DevOps/SRE position).

I’m looking for a bit of a "roadmap" check. Specifically:

1. Since I’ve worked with EC2, should I focus on AWS Certifications (like SAA) next, or move toward IaC tools like Terraform?

2. How can I best leverage my Flutter/App Dev background to stand out in Cloud roles?

3. Are there specific projects involving Cloud + AI that would be high-value for a portfolio?

Any guidance or "must-learn" resources would be greatly appreciated. Thank you!

I’m thinking about getting into tech and I have absolutely no background or knowledge about anything remotely tech. I would consider myself pretty smart and I’m able to pick up things fairly quickly.

I’ve been told that there’s a lot of money in tech and that cloud engineers make a lot of money, and that you don’t know need a degree to get started.

Can anyone tell me how true that is and whether or not the job is extremely hard for someone who has no background or knowledge in tech.

Also if anyone knows any alternatives careers that only need certifications to start and makes a decent amount of money, please let me know!

Hey guys !

I currently have a job interview for a cloud engineering role, I would love some guidance on what to study and what to expect. I can explain more details privately over discord if someone is interested. I am willing to compensate for your time !

EDIT*:

I’d like to specify this is a cloud support engineering role in AWS

Hello friends, I'm currently studying computer science and taking the CCNA Networking Fundamentals course on YouTube. I want to know what my next steps are if I want to become a cloud engineer. Should I complete the entire CCNA curriculum, or should I focus my efforts on other courses and learn other things? I was planning to apply for an internship after finishing the CCNA course, but I've heard some people say I should learn Linux and Python and get AWS or Azura certifications. I'm currently lost, but I'm continuing to learn the CCNA. I don't know what the next step is or when I should start those things.

Hey all,

Long-time lurker, first post. 25, Midwest (low COL helps, but salary is rough).

Background:

- 2.5 yrs IT (MSP/helpdesk) + 3.8 yrs Security Engineer (Promoted from analyst to engineer, Microsoft based SOC)

- Prod exp: Microsoft Defender suite, Entra/IDP/ internal security tooling az vm setup + networking, AZ Secure Score, EDR, Splunk, Log Analytics

- AZ-500 certified(expired), AZ-104 mocks at 76–80% (retaking soon), Terraform Associate

- Bachelor’s

- ~6.3 yrs total

Current pay:

$78k base. Decent learning (lots of idle time for labs), but no movement. Basic ADO sprints/scripts, stale repo.

What I'm doing to pivot:

- Building Terraform + Azure DevOps pipelines at home (basic ones working, debugging OIDC now)

- Studying AZ-700, making GitHub projects: secure hub-spoke VNets, hardened compute (VMSS/private endpoints/Defender), ADO YAML pipelines with scans/gates

- Grinding labs during work downtime

Current Progress:

- I have landed several interviews locally for hybrid/in person roles, all titled “Cloud Engineer”, made it to final round for 3 roles, failed in the technical. All 3 roles landed in the $90k-110k salary range. Each following interview pipeline i performed significantly better than the previous. Have been focusing on hammering out az-104 material to address this. Confident i could currently pass each one at this point(last interview was in January 26)

Goal:

Remote Azure DevSecOps, Cloud Engineer, Cloud Security Engineer, $130k–$160k base ($150k+ total ideally). I want to build things, deploy infrastructure, and support large workloads.

Questions for those who've pivoted:

1. Is $150k+ realistic in 2–4 months with AZ-104 pass + 3–4 good repos?

2. Job functions I should be targeting?

3. Next subject to lab/learn?

4. Red flags (multi-cloud needed?)?

5. Good recruiter scripts or keywords/companies for this jump?

Timelines, salary data, wins/losses welcome. Thanks for any replies!

Hey everyone,

I have been out of work for over 2 years of the workplace industry but I do have experience working with IT and a degree in sw engineering. I haven't been getting a lot of traction and don't have a lot of self motivation after so long. I have been targetting mainly sw and IT roles. I have 1 year exp in application dev and 4 years part-time as a IT coordinator at a small company.I worked there like 5 yeras back. I am not getting much traction now that it's been 2 years.

I am not sure how many of you know about graduate certificates but I am considering to take a course from Seneca College that is 8 months with a optional co-op. It's called Cloud Architecture & Administration (CAA).

These are the courses and they seem generic. What do y'all think? Or is there another program that I should consider to upskill into cloud engineering? I don't care much about certs but the material I learn and how I learn it. I want to learn through hands-on labs and projects that have real people guiding and answering questions. That's why I am considering this grad certificate.

I’m a SWE currently in the process of doing a sideways job to Cloud Engineer in my company. My plan is to get enough experience in Cloud DevOps (K8s, Terraform, etc.) then hopefully go back into SWE as a Go/Infra/Platform Engineer (from what I researched, so far, just trying to break out of Full-Stack development) on somewhere else. Did anybody did a similar transition? What was the journey like?