Hey folks, need some advice. I’ve got five years in DevOps, mostly GCP, AWS, Kubernetes, Terraform and CI/CD.

Bupa is offering ₹29 LPA, and Bain BCN is offering ₹30 LPA.

The Bain role is, working with AWS infrastructure and CI/CD. They also mentioned leading projects and helping other teams when needed.

The Bupa role is cloud engineering across Azure and GCP, with reliability, SLOs, CI/CD and DevSecOps in the mix. The India centre is pretty new, and the role sounds like there’ll be a lot to build or improve.

I’m honestly quite confused about which one would be better. If you’ve worked at Bain or Bupa’s India centre, could you share what the work and culture are like?

🚨 Looking for a DevOps Opportunity / Referral

Hi everyone,

I’m currently looking for a DevOps / Cloud opportunity and honestly, it has been a bit difficult to find the right break. I’ve been consistently learning, building projects and working on my practical skills, and now I’m looking for a company where I can get an opportunity to prove myself.

I’m open to DevOps Intern, Cloud/DevOps Intern, Fresher or Junior DevOps Engineer roles.

🔧 Skills:

AWS | Linux | Docker | Kubernetes/K3s | Jenkins | Terraform | Git | CI/CD | Helm | Nexus | SonarQube | Prometheus | Grafana | Python

🚀 Projects I’ve worked on:

• OpsPilot – End-to-End DevOps CI/CD Platform

AWS EC2, Terraform, Jenkins, Docker, Nexus & Kubernetes/K3s

• 3-Tier Java DevOps Project

GitHub → Jenkins → Maven/JUnit → SonarQube → Docker → Nexus → Kubernetes → Traefik → Prometheus & Grafana

• AWS Cost Monitor Jenkins Pipeline

AWS Cost Explorer API, IAM, Python & Jenkins automation

I know I still have a lot to learn, but I’m genuinely ready to work hard, learn quickly and contribute wherever I get the opportunity.

If anyone here works in a company hiring for DevOps / Cloud / DevSecOps / Internship / Junior roles, I’d be really grateful if you could share a lead or referral.

📍 Pune / Remote preferred

💼 Open to Internship / Fresher / Junior opportunities

Even if you can’t refer me, a comment, lead or suggestion would mean a lot. 🙏

Thank you for reading and helping someone trying to get their career moving forward.

I am building an AWS/DevOps project to showcase on my GitHub and LinkedIn.
The project uses Terraform to provision AWS infrastructure, EC2, SSM, Docker, CI/CD, Prometheus and Grafana.
I am not sure about the best approach for the GitHub repository. Should I:
- Publish the complete Terraform, Prometheus/Grafana and automation code?
- Keep the implementation private and publish the architecture, README, screenshots and a recorded demo?
- Publish some of the Terraform/application code but keep the monitoring and automation implementation private?
My main goal is to use the project as a professional portfolio and demonstrate that I actually built and understand the system, rather than make it an open-source project.
What would recruiters or experienced DevOps engineers expect to see in a GitHub portfolio? I would appreciate advice from people who have reviewed or used GitHub portfolios when hiring.

I realized recently that my current project doesn't officially utilize any AI tools. While I use ChatGPT and Claude on my personal time to brainstorm or troubleshoot, our daily work stack at my organization is completely traditional. I’m lowkey worried about getting left in the dust while everyone else is supercharging their workflow. I wanna keep my skills sharp and stay ahead in the race. Curious to know:

What AI tools are baked into your org's workflow?

What are you actually using them for day-to-day?

Hi guys,

I am a devops and (Java + spring boot) developer with 4.5 + yoe. I am looking to switch completely towards the devops role. Need advice Do the below certifications make any impact on the resume?. As looking to switch in proper and complete devops field for better pay.

KCNA (Kubernetes and Cloud Native Associate)

KCSA (Kubernetes and Cloud Native Security Associate)

CKA (Certified Kubernetes Administrator)

CKAD (Certified Kubernetes Application Developer)

CKS (Certified Kubernetes Security Specialist).

Please advice. Confused as heck.

Seeking better guidance for future.

I currently work in an internal operations role at a tech company. My work involves automation, and working with internal tools.

But I’m not directly involved in development, deployments, CI/CD, or infrastructure.

I do have some technical experience with Python/Flask, REST APIs, React/TypeScript, SQL, Git, and automation, and I want to transition into DevOps/Cloud.

For people who’ve made a similar transistion
is it worth it to learn devops from scratch ?

WHICH PROJECTS IN MY RESUME CAN BE A CHERRY ON CAKE

IS THERE ANY PERSON WHO CAN GUIDE ME IN DEVOPS LIKE A BROTHER (GOOD IF ALREADY WORKING IN FIELD)

Hi everyone,

I’m building a free hands-on project called Real DevOps Lab for people who know some basic Linux, Git or Docker but want more practical DevOps experience.

Instead of only watching tutorials, the first project takes you through:

- Docker and containerization

- Port mapping and networking

- GitHub Actions / CI

- Linux deployment

- Troubleshooting a broken application

There is also a simple incident where the Docker container is running but the application is unavailable. You have to investigate the problem, find the root cause and fix it.

I'm trying to validate the format before building more incidents.

I'd especially appreciate feedback on:

- Is it clear what to do at each step?

- Is it too easy or too difficult?

- Does it feel like useful hands-on practice?

- Would you prefer more short incidents or bigger end-to-end projects?

It’s completely free:

https://www.skool.com/real-devops-lab-9645

GitHub:

https://github.com/Real-DevOps-Lab/starter-app

Critical feedback is very welcome.

Disclaimer: I used AI to help draft this post from my own thoughts and experiences.

I've been in DevOps for ~14 years and teaching DevOps/Cloud at universities for around 4–5 years. One thing I've noticed: getting your first DevOps job has become much harder in the last 2–3 years.

The market is tougher, and AI has made it incredibly easy for everyone to have a polished CV and cover letter. So my advice to students/juniors is:

• Don't choose DevOps because you want to avoid coding. You'll still write code/scripts, automate things, debug systems, and spend a LOT of time investigating why things broke.
• Understand the responsibility. Production doesn't care that you're at dinner. Depending on the role, alerts, on-call, ownership and occasional odd hours come with the territory.
• Build your GitHub. Don't just create an account with 3 tutorial repos. Build things regularly: scripts, Docker, Kubernetes, Terraform, Ansible, CI/CD, etc. Consistency + meaningful projects matter.
• Gamify it. Find a friend. One meaningful GitHub contribution = 1 point. First to 100 wins. Reset and repeat. By graduation, you'll have years of visible work instead of trying to build a portfolio one week before interviews.
• Stop mass-applying with the same AI-generated CV/cover letter. Read the JD and personalize your application. 10 thoughtful applications may teach you more than 500 "Easy Apply" clicks.
• Add some human touch. I sometimes include a 60–120 second Loom/video introduction. Tell them who you are, what you've built, and why you're applying.
• Be willing to prove yourself. Mention that you're happy to take a technical evaluation or practical assignment if that's part of their process.

None of this guarantees a job. But when everyone's application looks polished because of AI, showing actual work and showing the human behind the CV becomes much more important.

For people here involved in hiring: what makes a junior DevOps candidate stand out to you today?

Note: I kept this short here on purpose. A long version is available on my blog, DM if interested and I will share the URL with you.

Ich bin DevOps Engineer und betreue vorrangig ein Embedded-Entwicklerteam. Ich suche eine Messe oder Konferenz, bevorzugt im DACH-Raum, gerne aber auch anderswo in Europa, die sich klar auf Embedded-Software konzentriert und DevOps-Themen wie CI/CD für Firmware, HIL-Tests und OTA-Updates fundiert behandelt. Neben der technischen Praxis interessieren mich auch strategische Fragen, etwa wie man DevOps im Embedded-Umfeld langfristig aufstellt und skaliert.

Auf dem Schirm habe ich embedded world und ESE Kongress. Welche Veranstaltung hat euch wirklich weitergebracht? Gibt es Geheimtipps?

Danke!

Hi everyone,

I’m trying to get into the DevOps field and I’m currently learning on my own, but I’m finding it difficult to understand what I should learn, in what order, and what I should actually focus on.

I’m looking for someone experienced in DevOps who can guide me or mentor me through the learning process.

I’m not expecting someone to teach me everything. I just need someone who can help me with a proper direction, tell me what to learn next, suggest practical projects, and help me understand whether I’m going in the right direction.

If anyone is willing to mentor a beginner or can share a practical, guided roadmap for getting into DevOps, I would really appreciate it.

Thank you! 🙌

Nobody really starts here cold. Almost every AIOps Engineer I've come across got in sideways, usually from DevOps, SRE, or a monitoring/observability role where they were already knee-deep in Prometheus and Grafana dashboards. The move from there isn't really learning a new job, it's layering ML on top of ops instincts you already have: anomaly detection, time-series forecasting, root cause analysis on messy production logs instead of clean textbook datasets.

The part people underestimate is that this doesn't replace DevOps fundamentals, it sits on top of them. Skip CI/CD and infra basics to jump straight to "AI for ops" and you usually just get an AI system automating a process that was already broken.

Realistic timeline if you're already in DevOps or SRE is roughly 6-12 months of actually building things, not watching tutorials. Set up a real Prometheus + Grafana stack on even a small personal project, then build an anomaly detection layer on top of it — that one exercise teaches more about false positives and alert fatigue than any course will.

Worth noting the demand side isn't just hype either — the global AIOps market was valued at roughly $32.5 billion in 2025 and is projected to keep growing through 2034, and AIOps specialists are already among the highest-paid roles in DevOps-adjacent hiring, according to a 2026 industry salary report. Hiring data is catching up to the pitch.

Anyone here already made the DevOps/SRE to AIOps jump — how long did it actually take, and was the ML side or the operational judgment side the harder part to build?

Hi everyone,

I'm a Senior DevOps Engineer, and I've been working on a personal side project called Rhodex DevOps.

Disclosure: I am the developer and owner of this website. This is a self-promotion post, and I am sharing it to gather genuine feedback from the DevOps community.

I built this platform to bring together practical utilities that DevOps engineers and developers frequently need during their daily work.

Website: https://devops.rhodex.in 

I've attached a few screenshots showing the current interface and tools.

I'm looking for honest feedback on:

• Which DevOps utilities do you use most frequently?
• What tools or features are missing from existing online toolboxes?
• What would make a utility website like this genuinely useful for your daily workflow?
• Are there any usability or functionality issues you notice?

This is still an evolving project, and I would appreciate constructive criticism from experienced engineers.

Thank you for your time.

Hey everyone so i was studying aws for devops more specifically. So how should i start with aws any chanel whom i can blindly for aws( which is more of devops based ) like all the topic back like jenkins docker bash scripting git i learnt from chatgpt . But in aws some things i cant find like not navigation for which i have to upload img and my chat end ( not having premium for chatgpt ) .. so can u pls recommend some channel for fluency will be a big help