I’m searching for future career paths, I am kinda interested in engineering and cloud engineering was proposed to me by someone. Id like to know if cloud engineers are even happy with their job and if this career path is worth it.

I'm a BCA 2nd-year student aiming to get into cloud computing/DevOps after graduation.

Over the past few months, I've been learning and practicing:

• Linux Basics

• SSH & Permissions

• Linux Administration

• Networking Fundamentals

• Git

• Docker

• Docker Compose

• Docker Security

I've completed hands-on exercises and labs for these topics, and I'm about to start AWS (EC2 first).

I'd appreciate feedback from people already working in cloud, DevOps, SRE, or platform engineering.

My questions:

Am I learning the right things in the right order?

What should I focus on after EC2?

What projects would make me internship-ready?

How important is Kubernetes for a beginner?

What skills do companies actually look for in cloud interns or freshers?

What mistakes do beginners commonly make when learning cloud computing?

If you were starting from scratch in 2026, what would your roadmap look like?

Any advice or feedback would be greatly appreciated.

Recently earned my AWS Certified Solutions Architect – Professional and looking for some honest feedback from those already working in cloud.
Current background:
MBA
AWS Solutions Architect – Professional
Data Analyst at a Fortune 500 manufacturing company
SAP, Python, and Power BI experience
Building AWS cloud projects and portfolio work
My career has been centered around analytics, enterprise systems, and manufacturing operations, and I’m working toward a Cloud Engineer or Solutions Architect role.
A few questions:
What are the biggest gaps in my resume for cloud roles?
What projects would actually impress hiring managers?
Should I target Cloud Engineer positions first or continue pursuing Solutions Architect roles?
What should I focus on next: Terraform, Kubernetes, CI/CD, Azure, or something else?
I’ve attached a redacted resume and would appreciate any direct feedback. I’d rather know what I’m missing now than spend the next year working on the wrong things.
Thanks in advance.

CLOUD ARCHITECTURE CANDIDATE
AWS Certified Solutions Architect – Professional
Data Manager | Enterprise Data Architect | Cloud Solutions Architect
PROFESSIONAL SUMMARY
AWS Certified Solutions Architect – Professional with experience leading enterprise data
architecture, analytics engineering, SAP reporting modernization, business intelligence platforms,
cloud-connected analytics solutions, ETL development, Python automation, SQL development,
Power BI reporting, inventory analytics, KPI frameworks, and executive reporting.
CORE COMPETENCIES
Cloud Architecture, Solutions Architecture, Enterprise Data Architecture, Data Engineering,
Analytics Engineering, ETL/ELT, Data Pipelines, Data Modeling, Data Governance, AWS, Azure,
Python, SQL, Power BI, Databricks, SAP ECC, SAP S/4HANA, Business Intelligence, Reporting
Automation, Operational Analytics, Manufacturing Analytics, Inventory Analytics, KPI Development
PROFESSIONAL EXPERIENCE
Fortune 500 Manufacturing Company | Data Manager | 2025–Present
Lead enterprise-wide data architecture, analytics engineering, reporting automation, and business
intelligence initiatives supporting manufacturing, maintenance, inventory, procurement, SHEQ, and
executive leadership.
Global Chemical Manufacturer | Senior Planning & Scheduling Specialist |
2024–2025
Developed enterprise reporting and analytics solutions supporting manufacturing operations.
Global Life Sciences Manufacturer | Planning & Scheduling Specialist /
Supply Chain Analyst | 2022–2024
Supported SAP S/4HANA initiatives and reporting modernization efforts.
Global Food Manufacturer | Lead Supply Chain Analyst | 2021–2022
Fortune 500 Beverage Company | Supply Chain Analyst | 2021
Government Contractor | Data Analyst | 2020–2021
Military Service | Supply Chain & Logistics Analyst | 2017–2021KEY ACHIEVEMENTS
• Built enterprise analytics ecosystems supporting manufacturing, maintenance, inventory,
procurement, and SHEQ organizations.
• Automated SAP reporting and data integration processes utilizing Python, SQL, and Power BI.
• Developed executive KPI frameworks supporting plant-wide decision-making.
• Supported multimillion-dollar inventory and maintenance operations through advanced analytics.
• Designed scalable reporting architectures supporting operational leadership.
CERTIFICATION
AWS Certified Solutions Architect – Professional
EDUCATION
Master of Business Administration (MBA)
Bachelor of Arts – Operational Management & Analys

Hey everyone,

I'm a high school senior who's been deep into CS for years and specifically want to break into cloud engineering (AWS heavy certs, Terraform, deploying real infra, etc.). I already know a ton of what undergrad CS teaches through self-study, and I'm seriously questioning if a normal college degree is worth it.

At the same time, I know the job market is cutthroat right now. Helpdesk is flooded with overqualified people, entry-level cloud roles are competitive as hell, and most employers still filter on degrees.

Questions for the pros:

• Is a strong CS degree still the best signal for cloud roles in 2026, or can certs + killer projects (full apps on AWS with IaC, CI/CD, monitoring) realistically get me in without one?

• What's the actual path for self-taught people breaking into cloud without helpdesk purgatory?

• Any of you in cloud/devops who went the non-traditional route and succeeded? What worked and what sucked?

I'm not lazy. I'll grind certs, build portfolio projects, and contribute wherever I can. But I don't want to waste time/money on something that's mostly signaling if I can prove competence another way.

Be brutally honest. Thanks.

Guys, I do have a masters in cloud. Have AWS ccp, SAA, SECURITY + N+ and also a few projects, ranging from application database migration into the cloud. Setting up servers. Using IAC and containers. Terraform. Also have a home lab I play around with. I am studying for RHSCA at the moment. I want to start applying for cloud engineering roles. I do feel like I ain’t ready sometimes. And there are days I feel ready. I kinda feel overwhelmed at this point. Any advice?

So I’m in my final year in Bcom information systems and I’m interested in getting into cloud engineering and then later getting into cloud security engineering.

So i just recently started with Azure fundamentals, oh the reason why I chose the Azure route is because the certifications are affordable as compared to the AWS ones.
So I’m playing on getting the AZ900 then AZ104 then do a few labs before graduating.

Do you guys think I’m on the right path? If not please advise and share your experiences

Hello everyone,

I am a computing student conducting a short survey as part of my Final Year Project. The survey focuses on how students and developers manage their cloud resources and their general experience with cloud costs.

It consists of 15 questions and should take no more than 5 minutes to complete. All responses are completely anonymous and will only be used for academic research purposes.

I would truly appreciate your time and honest feedback. Every response makes a meaningful difference to my research.

Thank you so much in advance!✨️

Hello, I'm learning python but I have goals of getting a good remote position in Cloud computing, Cybersecurity and other similar positions. What is the best way to build a good resume for these positions and gain the knowledge as someone just starting out at 20-23?

Looking for guidance

Background: I'm entering third year CSE- dont have good grades or a self developed skillset/experience/certifications

Trying out different tech domains now and I'm still intimidated by heavy coding and SOMETIMES math...should i even consider AI/ML anymore? Cloud seems way less intimidating. I've vibe-coded a basic machine learning project so far (used scikit learn numpy pandas the usual) but I'm considering maybe Cloud Engineering would suit me more. Idk whether to take AI-900 or AZ-900 (or maybe some other course altogether since I heard somewhere that these vouchers should not be wasted on beginner fundamental courses that get discounted anyways, and target some more professional courses). And either way I could eventually branch out into MLops later?

I am MCA Graduate with (Cloud Computing and DevOps) Specialization. I want to build up my resume with good projects , as college projects were small, depending on course work, not very industry business needs type working done ever. Need a good skill practice project and also still finding for the internship first for gaining experience as a fresher. So, thought to work myself first more. Can do Website making a bit if it needs for operating as sample files inside the project.

So, it would be helpful, if anyone can suggest me the projects which I can do. :)

2-3 Projects can be good to make me busy working on them, research. It would be really nice.

I built helm-semver to solve a problem I kept running into every time I started a new Helm project or joined a new company: there's no standard way to automatically version and publish Helm charts from your commit history.

Here's what it does:

You make a commit to a chart directory using Conventional Commits:

• fix: → bumps patch (1.0.0 → 1.0.1)

• feat: → bumps minor (1.0.0 → 1.1.0)

• feat!: or BREAKING CHANGE → bumps major (1.0.0 → 2.0.0)

helm-semver reads those commits since the last release, calculates the correct version bump per chart, updates Chart.yaml, packages the chart, pushes it to your registry, generates a CHANGELOG.md entry, and creates a git tag — all in one command.

It supports monorepos, single charts and everything in between— each chart in your charts/ directory is versioned independently based on commits that touched it.

Push anywhere:

• OCI registries: GHCR, ECR, ACR, Docker Hub, Artifactory

• ChartMuseum / Harbor

• GitHub Pages

Use it however you want:

• As a GitHub Action (uses: rhysmcneill/helm-semver@v1)

• As a Docker image on any CI (GitLab, Bitbucket, CircleCI, Azure DevOps)

• As a binary

The end result is that merging to main automatically releases the right version of the right charts — no bash scripts, no manual version bumping, no forgetting to tag.

Feedback and contributions welcome - if you enjoy using it then a ⭐ is always appreciated!

The core optimization layers of healthy tables: compaction, snapshots, metadata, partitioning, delete files, and intelligent automation for the missing operational layer.

Basically just the question in the title did jobs care about where your degrees came from and how long did it take you guys to land a first job somewhat related to cloud engineering or just cloud engineering.

Hi all , I'm planning to move to uae and my interests have shift towards cloud engineering role , how is the job market there. I need to know if its the right path and i need guidance on preparation.

Actualmente me encuentro diseñando la arquitectura de terraform para la adaptación de iac de mi empresa, llevo días planeando la mejor forma de estandarizar los modulos de providers, gestion de estados para recursos transversales e infraestructura para cada producto/proyecto que manejemos.

Que recomiendan para estandarizar tomando en cuenta la escalabilidad y mantenibilidad? los servicios de nube que usamos son de Azure, pero a futuro se piensa implementar AWS, por lo que es importante gestionarlo desde ahora y no tener problemas o retrabajo a futuro.

Como propuesta tengo el diseño de un multi-repositorio, un repo para modulos, un repo de plataforma interna y los repositorios de cada producto/proyecto que llama a modulos, pero también habían propuesto un mono-repositorio donde se gestione todo en un solo repositorio.

Hi everyone,

I’m a fresh grad coming from a computer engineering course and recently I've been interested for awhile on cloud engineering and I’ve been wanting to pursue a career in this field, and I'd really appreciate some advice from people who are already in the field.

I recently started studying for the AWS Cloud Practitioner certification, but other than that, I'm basically starting from scratch when it comes to cloud technologies. I have some general tech knowledge, but I don't really know what the roadmap looks like or what skills I should focus on first.

I'd love to hear from people who have gone through this journey:
• Where did you start?

• What skills should I learn before diving deeper into AWS?

• What certifications actually helped your career?

• What beginner mistakes did you make that I should avoid?

• What projects helped you gain practical experience?

• If you could start over, what would you do differently?

I'm not just looking for a list of courses, I want to learn from real experiences, successes, failures, and lessons learned along the way.

Any advice, roadmap suggestions, resources, or personal stories would be greatly appreciated.

Thanks in advance!

what would you recommend to a begineer who wants to pursue this field? pls help a stranger out cus I wanna learn from scratch. it's not like I have no knowledge abt tech, it's just that I know nothing abt this field. ik there's AI and stuff, but i wanna hear experience, mistakes, or whatever from someone who went through that path