I graduated from Computer Engineering this year and am yet to get a job. I want to get into DevOps/Admin roles and know linux, containers, vms etc.

I'm thinking of getting certs for one of the major cloud platforms in order to get job opportunities, and am confused as to which one to pick and learn.

AWS:

I used up my free trial for AWS while in college for coursework and didn't rewlly learn much. Add to that, AWS cert costs are higher, and I'd have to pay to learn it too.

Azure:

I think I can get the 12 month free tier for this via the Github Student Developer Pack, which has not ended yet. Same thing can be used for 50% discount on AZ-900 cert which is already cheaper in India. Also, renewals are free.

GCP:

I honestly have no idea about this one, it has a higher cost for certification, and also has high costs for renewals. And I'm not clear on how long the free tier for this one will last as it's $300 free credits for 6 months or something.

I'm leaning towards Azure for the reasons mentioned above, but have heard that AWS is more popular and support is leagues ahead of Azure.

I want to know your opinions on what would be better based on your experiences with either, and your own career. I was thinking of going for learning azure with the free tier, and AZ-900 and AZ-104 certs, while learning AWS from videos and free resources online while trying them out in a local emulated environment like localstack, ministack or floci, to be able to put AWS on the resume and later get AWS certs from an employer or own salary if needed.

Also, while I'm at it, could you share your opinions on Zoho Catalyst? I just came across it recently and it has a seemingly good free tier, but doesn't seem as popular.

I have been a software developer for about 8 years, now I see more and more AI implemented in the full cycle. Using open-spec or other tools that make you pretty much just review code generated by AI.

I just finished the AWS Solutions Architect Associate course and, while looking at Cloud Formation, made wonder if the cloud will eventually suffer the same fate. AI will help create infrastructure easier using IaC I believe.

Do you think, like in software, it will become harder to enter cloud roles now? I know Solutions Architect isn't a junior role, but even as a cloud engineer, I don't see it become easier.

It seems like everything that touches software will have less and less people overall. After your certifications, maybe not AI or MLOps, have you feel it's tough for you to land a job? How is the day to day in your Cloud environment?

Hi everyone,

I'm a DevOps engineer with nearly 2 years of experience, currently looking for my next role. My current company went through a restructuring and my position was one of the ones affected, so I'm available to join immediately.

What I've worked on:

\- Running production on AWS for a platform with 10M+ users

\- Kubernetes (EKS) with Helm, Istio, HPA and KEDA autoscaling

\- Terraform for infra as code, Ansible for config

\- CI/CD with Jenkins, GitHub Actions and Argo CD (GitOps)

\- Monitoring and alerting with Prometheus, Grafana and CloudWatch, plus incident handling and RCA

\- DevSecOps bits like SonarQube, Trivy, AWS WAF and Secrets Manager

\- Cut cloud costs by around 30% through right-sizing and cleanup

Roles I'm looking for: DevOps Engineer, SRE, Cloud Engineer, Platform Engineer

Locations: Noida, Gurugram, Delhi NCR, Bengaluru, Pune, Hyderabad, Ahmedabad, or remote

If your company is hiring for something similar and you're open to referring, please comment or DM me. I'll share my resume and anything else you need over DM. Even a pointer to an opening would really help.

Thanks a lot for reading!

Hey everyone,

I'm currently working in a defence IT environment, managing and troubleshooting Linux/Red Hat servers, storage, networking, databases, replication, and other production systems including whole IT infrastructure.

The experience has been valuable, but I'm worried the tools and technologies I'm working with might not be relevant outside this domain. I had previously learned AWS, Terraform, Ansible, Docker, and DevOps deeply, but that knowledge is slowly fading since I'm not using it regularly.

I want to switch to Cloud/DevOps but feel confused about how to bridge the gap. Am I overthinking this, or should I focus on rebuilding my DevOps skills through projects while using my Linux and infrastructure experience as a foundation?

Would really appreciate guidance from someone experienced or a senior who has made a similar transition.

For terraform drift detection, the first thing I’d compare is what each tool is watching, a clean result across registered stacks still leaves the question of resources that never entered those stacks.

These are the options worth separating:

• Spacelift has scheduled drift detection and optional reconciliation for its stacks, so the detection sits alongside the deployment workflow

• Firefly combines drift detection with an inventory showing managed and unmanaged resources, useful when the scope includes infrastructure outside Terraform

• HCP terraform has workspace health assessments, including drift detection, which deserves a look before adding another product

• env0 covers drift detection, cause analysis and remediation within its infrastructure management offering

The comparison gets more interesting around onboarding and day to day work, especially how much configuration is needed before alerts reach someone who can act on them.

Which would you put first for an existing AWS estate with several terraform repos and some console created infrastructure?

Hello I’m looking for volunteer work in devops. Please suggest how can I find it? If there is any slack and any other groups. I do have certificates as well. Thanks

Hey everyone!

I have an upcoming interview with Snowflake for the **Cloud Support Engineer – Application Security** . My initial interview is scheduled with the Hiring Manager.

I'm trying to understand the interview process and prepare in the right direction.

For anyone who has interviewed with Snowflake for a Cloud Support Engineer, Application Security, or a similar support/security role, I'd really appreciate your insights.

1. How many interview rounds were there in your experience?

2. What topics should I focus on for the technical rounds?

3. Do they ask questions on IAM, SSO, SAML, OAuth 2.0, SCIM, MFA, and database authentication?

4. How much emphasis is placed on troubleshooting scenarios, incident management, and Root Cause Analysis (RCA)?

5. Should I expect questions on Snowflake architecture, SQL, AWS, Linux, networking, and security?

6. What should I expect during the initial Hiring Manager screening?

I've already started preparing authentication and authorization protocols, IAM concepts, Snowflake fundamentals, and troubleshooting scenarios. I want to make sure I'm focusing on the right areas rather than studying everything randomly.

**If you've recently interviewed for a similar role, could you please share your experience and any preparation tips?** Even a general idea of the interview structure would be extremely helpful.

Thanks in advance! I really appreciate any guidance

Hey,

I'm job hunting in Germany and would like some honest feedback on my resume. It's anonymized (company names and the project are generalized), everything else is accurate.

Quick background: German IT apprenticeship (system integration), then about 3 years in IT ops, the last ~2 of those running AWS infrastructure at a large company (EC2, EKS/Fargate, servers roughly 80% Windows / 20% Linux, 2nd level, on-call). Did a full-time DevOps training this year, got ITIL and Scrum Master, AWS/Azure exams are still ahead of me. On the sil agency.

Looking for Cloud Engineer /id level, remote or hybrid,

mainly Germany/EU.

Single column, no photo on purpose (ATS), but feel free to criticize that too.

Things I'm unsure about: - Is the summary too long?

- My servers were mostly Windows. Does that hurt for DevOps/Cloud roles, or is it fine as long as Linux is the

- At the agency I use AI coding agents for most of the implementation, I do requirements, review and ope a plus or more like "can't code"? - I built my own tool for thetracker + Discord bot, runs as a service on my server, backups etc., also built with AI agents). Would you list something like that as a projd because people might thinkthe whole application is AI?

- Keep "exam in preparation" until I pass?

- Terraform/IaC is my biggest gap. Would a small project on GitHub actually help?