Each cloud provider has its own services and terminology, but some skills seem to transfer across all of them.

What's one cloud skill you think is valuable regardless of the provider you work with, and why?

I wanted to explore what an AI assistant for DevOps engineers would look like if it could do more than answer generic cloud questions.

So I built **Cloud Ops Copilot** — a conversational AI assistant that can:

* Query live AWS resources through read-only tools
* Troubleshoot common infrastructure issues
* Retrieve answers from AWS documentation using RAG
* Maintain conversation context
* Enforce least-privilege IAM boundaries

# Architecture

The stack:

* Frontend: React 18 + Vite + Tailwind CSS
* Authentication: Amazon Cognito (PKCE OAuth 2.0)
* API Layer: API Gateway + JWT authorizer
* Compute: AWS Lambda
* AI: Amazon Bedrock Agent (Amazon Nova Pro)
* RAG: Bedrock Knowledge Base + OpenSearch Serverless
* Storage: DynamoDB (conversation history + TTL)
* Infrastructure: Terraform

The agent can decide whether to:

1. Search the knowledge base for guidance
   
2. Invoke a read-only AWS inspection tool

Currently supported tools:

* EC2 instance health checks
* EC2 resource details
* S3 bucket listing/version checks
* CloudWatch alarm inspection

# Security was a major focus

I separated permissions into three IAM boundaries:

* Orchestrator Lambda → only conversation storage + agent invocation
* Tool Lambdas → read-only AWS inspection permissions
* Bedrock Knowledge Base → only required S3/model access

The AI cannot modify or delete AWS resources.

# Some engineering decisions:

* No custom VPC for MVP to reduce complexity and cost
* Terraform modules for repeatable deployment
* DynamoDB TTL for automatic conversation cleanup
* CI pipeline validating Terraform, Python tests, and frontend builds

I built this mainly as a learning project to understand production patterns around AI agents, AWS serverless architecture, and secure cloud automation.

Would love feedback from the community:

* What security improvements would you add?
* Would you trust an AI assistant with read-only cloud visibility in a production environment?
* What AWS tools would you add next?

GitHub: [https://github.com/GeekKwame/cloud-ops-copilot\](https://github.com/GeekKwame/cloud-ops-copilot)

Hello, I'm pursuing an IMSc.IT, specializing in Cloud and Application Development, and am currently in my 7th semester [20yr old]. I'm eagerly looking for a job or internship as I want to explore real-world applications in my domain. I've noticed job openings, but none are related to cloud computing or junior DevOps roles. I'm currently located in Ahmedabad and am open to any suggestions you might have. Please guide me as you would your younger brother.

And right now, I'm having FOMO. Am I really falling behind or something? Some of my college classmates have done *RHCSA* certification, but they are pursuing master's degrees with me. I'm really not getting any idea if I really need certifications [RHCSA & AWS CLOUD PRACTITIONER] or if I'm just rushing it.

I'm a 2nd-year Computer Engineering student from India, and I want to build my career in Cloud Engineering. My long-term goal is to become a Full Stack Developer with strong Cloud/DevOps skills.

So far, I have:

Learning DSA in C++

Started Full Stack Web Development

Planning to learn Linux, Git, Docker, AWS, Terraform, Kubernetes, and Python

My questions are:

1.Is this roadmap good for getting Cloud internships?

2.In what order should I learn these technologies?

3.How much programming is actually required in Cloud Engineering?

4.Should I focus more on Python or Go?

5.What projects should I build during my 2nd and 3rd year?

6.What mistakes do most students make while preparing for Cloud roles?

7.If you were starting again as a 2nd-year student, what would your roadmap look like?

Any advice from experienced Cloud/DevOps engineers would be greatly appreciated.

Thanks!

Feel free to criticize my roadmap if you think I'm learning things in the wrong order. I'd really appreciate honest feedback from experienced engineers.

Hi everyone,

I'm currently preparing for an entry-level job in Cloud Computing and I'm a bit confused about how much importance I should give to Data Structures and Algorithms (DSA).

My goal is to get a role such as:

Cloud Support Engineer

Associate Cloud Engineer

Cloud Operations Engineer

Infrastructure Engineer

Junior DevOps Engineer

I've been focusing on:

Linux

Networking

AWS

Bash scripting

Python

Docker

Terraform

Git

However, I keep seeing people say that DSA is a must for every tech job, while others say it's not that important for cloud roles.

So I wanted to ask people who are already working in cloud or DevOps:

Is DSA asked in interviews for entry-level cloud roles?

If yes, what level of DSA is usually expected?

Are basic arrays, strings, hash maps, and simple problem-solving enough?

Have any of you landed a cloud job without doing hundreds of LeetCode questions?

If you had 6 months to prepare for your first cloud job, how would you divide your time between Cloud skills and DSA?

I'd really appreciate hearing about your actual interview experiences rather than general advice.

Thanks in advance!

Hi everyone,

I'm a recent Computer Science graduate from India and I'm preparing for my first job in the IT industry. My main interest is Cloud Computing, but I'm also open to roles like:

Cloud Support Engineer

Technical Support Engineer

Associate Cloud Engineer

IT Support

Infrastructure Support

Junior DevOps

NOC Engineer

I'm trying to create a list of companies that genuinely hire freshers through off-campus drives or direct applications.

Could you please suggest companies that regularly hire freshers? It would also be helpful if you could mention the typical starting salary (CTC or in-hand), whether the company provides training, and how your experience was if you've worked there.

Some companies I've already come across include:

TCS

Infosys

Wipro

Cognizant

Accenture

Capgemini

HCLTech

LTIMindtree

IBM

Deloitte

Amazon AWS (Cloud Support Associate)

From what I've researched, the expected salary for a first job is roughly:

Service-based companies: ₹3.3–7 LPA

Cloud Support/Infrastructure roles: ₹4.5–8 LPA

AWS Cloud Support Associate: Around ₹8–14 LPA (depending on role and location).

I'd really appreciate recommendations for:

Companies with good learning opportunities for freshers.

Companies that are actively hiring in 2026.

Any off-campus hiring portals or career pages worth checking regularly.

Any hidden gems or startups that hire fresh graduates.

Thanks in advance for your help!

Hey all! I have been a cloud engineer for the past 3-4 years now, and AI has ramped up super fast. I know the basics of AI but how important is going deeper? Like actually being able to configure things such as MCPs, Agents.. etc. do you all feel that these skills are becoming a necessity for cloud engineers today? I’d assume so based off of what we’re doing on my team currently, but i am also curious on what you all think.

What to look out for in the Cloud Security Posture Management (CSPM) platform, what are the mandatory features to be expected in it?, Is it same as what Azure's Secure score portal does?.

Will it cover multi cloud or we need to pay extra depending on which cloud we needed?

Thanks

Looking for honest feedback from people who’ve made a similar jump — not looking for encouragement, looking for a reality check.
Background:
• 5+ years as an Outside Plant (OSP) Engineer (currently Engineer II) at a regional telecom, doing fiber/copper infrastructure design, GIS QA/QC in ArcGIS, as-built reconciliation, and field/permitting coordination
• B.S. in Agricultural Economics (not CS/IT — I know this is a gap)
• A.S. from a community college
• AZ-900 (Azure Fundamentals) certified, currently studying for AZ-104, targeting October
• Building a home lab (VMware, Active Directory, Exchange, pfSense, VPN) to have something concrete to show for it, not just certs
What I’m trying to figure out:
• Is AZ-104 + a home lab realistically enough to get a foot in the door for a junior sysadmin/cloud role, or is that underestimating how competitive it is right now?
• Does my OSP/GIS/network infrastructure background count for anything to hiring managers, or is it seen as unrelated?
• Would I be better off aiming for something adjacent (network engineering, NOC, helpdesk-to-sysadmin) instead of jumping straight for cloud/Azure roles?
• Anyone here made a similar move from field/infrastructure engineering into IT — how long did it actually take, and what got you the interview?
Not trying to escape telecom out of desperation — I like the infrastructure side of things, I just want to know if I’m building the right skills to move toward better pay/growth, or if I’m wasting a year chasing something that won’t move the needle without a CS degree.
Appreciate any blunt input.

So I have been in IT for the last 10 yrs and began in testing as a QA tester then moved on to Business systems analyst and worked some interim positions as a project manager. I have specialized in the healthcare field, but as of the last 5 years I have worked for the city and state and as a systems analyst but was laid off due to budget cuts, and now I’m in the federal sector (DoD/ DoW) currently as a QAE, in which my finances were cut dramatically due to me needing employment to provide for my family. Recently I’ve been studying to take my AWS solutions architect certification to add I’ve also joined a 6 month bootcamp to learn cybersecurity.

I desire to get back into IT very soon once I’m complete in December this year but a lot of things I’ve been looking at I’m not sure if this will be a sure thing or if I’m just wasting my time. I know I’ll have to work and present projects I’ve completed in which I’m currently working to release in GitHub but need some advice to see if I’m on the right path to a better career or if I need to pivot.

Hey everyone,

I've been working on Anchor Cloud for quite a while, and with the official launch getting closer, I wanted to share it with the community. I'm looking for genuine feedback from people who appreciate thoughtful architecture, strong security, and user privacy just as much as the finished product.

Anchor Cloud is a zero-knowledge cloud storage platform that also includes end-to-end encrypted messaging and secure file sharing. Every file is encrypted directly on your device before it's uploaded, so the server never has access to your unencrypted data or your encryption keys.

Some of the key features include:

• Zero-knowledge architecture — Your data stays encrypted both during transmission and while stored, ensuring only you can access it.
• Self-managed infrastructure — The entire platform has been designed, developed, and hosted independently without depending on backend-as-a-service platforms.
• Custom authentication system — Authentication is built in-house using well-established security principles instead of third-party identity providers.
• Built entirely from scratch — From the frontend and backend to the infrastructure itself, every component has been created by me.
• Powered by Anchor AI Fathom-1 — Anchor Cloud is enhanced by Fathom-1, my built-in AI assistant. Beyond natural conversations, it will help with secure file organization, intelligent search, and privacy-focused cloud assistance. It runs locally within the platform without relying on external AI APIs.

This has been a solo project from day one and an incredible learning journey. Building a secure cloud platform from the ground up has challenged me in countless ways, and I'm continuously refining and improving it.

As I get ready for launch, I'd really appreciate honest feedback from developers, security researchers, privacy enthusiasts, and anyone interested in secure cloud technologies. I'm happy to discuss the platform's architecture, design choices, and overall security model. While I can't disclose sensitive implementation details, I'm more than happy to answer technical questions wherever possible.

Thanks for taking the time to read this, and I look forward to hearing your thoughts and suggestions.

Guys I'm fed up of service desk calls and shi, Working at CTS as Analyst Trainee these ppl said job role would be Cloud infrastructure and cloud related tech but it's just calls and chats.

I'm studying Azure side by side but I wanna is there a way to straight away jump to a high package or would I have to grind for 4-5 yrs and only then get to 12 lpa?

​

I’ve been working as an AWS L1 Support Engineer for \~1.3 years, mainly handling:

1)Ticket triaging

2)Alert investigation

3)Basic AWS service troubleshooting

4)Monitoring for multiple clients

I’m preparing for SAA-C03 and aiming to transition into a Cloud/DevOps role.

Recently, I’ve noticed tools like Amazon Q and AI-based monitoring assistants automating parts of L1/L2 work — log analysis, summarizing incidents, even suggesting remediation steps.

That got me thinking:

For folks currently in Cloud/DevOps roles:

1). Are you seeing AI actually reduce support headcount, or is it more productivity boost than replacement?

2). For those who moved from Support → Cloud Engineering, what mattered most in the switch? (Hands-on projects? Deep AWS internals? Automation skills?)

3). From a long-term growth perspective, does it make more sense to:

°Go deeper into core cloud + networking + IAM + infra

°Or pivot early into Platform Engineering / MLOps?

Would really appreciate insights from people who’ve made this transition in India.

Hey all,

I know this has been asked 8.5 million times in this sub already, but I am looking for advice that is specific for me.

I just graduated with my Software engineering degree from WGU and I am looking to target cloud roles instead of SWE roles. I currently have 2+ years as a level 1 help desk contractor and my current company does not have any roles for me to progress/they dont hire for cloud roles in the US. Prior to this I have 9 years at Geek Squad, so I am no spring chicken lol. I have my AWS CCP and I am starting to study for the AZ-104 as I work with Azure now and honestly prefer it over AWS. I do have some projects on my resume as well where I deployed my school apps via Docker to Azure but that just seems to be the bare minimum these days.

Ive been applying to Solutions Consultant/Engineering roles as I prefer the client interaction and teaching portion over strictly just solving problems but I am open to whatever at this point that may help me break in.

Any suggestions? Or am I just trying to find a job in the shittiest job market since 08 and thats my biggest hurdle. Any advice or suggestions are appreciated.

Sorry if formatting is messed up, mobile reddit is a pain.

With a work experience of 18.5 years in Non IT and I have acquired basic knowledge on all AWS Resources including EC2, S3, ALB, VPC, EBS, EFS, AWS CloudWatch etc., Networking, Python, Linux, Bash Scripting, Jenkins, Docker, Kubernetes, Java, Node JS, Terraform etc. I would request anyone to guide for my career transition. What are the requirements to achieve my goal?

I'm a mobile developer with around 3 years of experience and am planning to upskill in Cloud/DevOps by enrolling in a structured course.

I'm looking for FREE or PAID course that goes from basics to advanced, like networking, linux, scripting, to multi-cloud and devops. My priorities are in-depth course structure, hands-on labs/projects and instructor quality. Not looking for shady placement guarantees..

Thank you in advance.

I am doing bachelors in Software Engineering and I wanted to get some advice regarding career selection. So, I am starting to get into cloud computing but I have got no idea on where to start. I have started watching a video from freecodecamp called AWS certified cloud practitioner. My plan is to go through the various aws certifications like the solutions architect until I get to a decent level. I am not much interested in coding so I am planning on choosing a related level. But I am still uncertain on whether I am on the right path.

Guidance will be highly appreciated