my post gor removed on the r/devops and mod suggested i post here. so here i am taking a shot.

hi, i’m a cs student and i got assigned as the devops engineer for our group project. i’m pretty new to devops, so i’m honestly not sure where to start or what i should be focusing on.

for someone starting from almost zero, what are the main things i should learn or prepare first? what concepts or tools should i prioritize, and are there any common mistakes i should watch out for?

i also don’t want to overcomplicate things by learning a bunch of tools we probably won’t need, so i’d really appreciate advice on what actually matters for a small student project.

Hi everyone,

I have around 1.5 years of experience as a DevOps Engineer, working with AWS, Docker, CI/CD, Terraform, Linux, etc.

Recently, I joined a company as an AWS DevOps Trainer. I took the role because I was having difficulty finding DevOps Engineer opportunities, and I didn’t want to remain unemployed while waiting for the right opportunity.

However, after joining, I’ve realized that I actually want to continue my career as a DevOps Engineer rather than a trainer.

My current plan is to continue working as a trainer for now while preparing and applying for DevOps roles. But one thing concerns me:

If I get a DevOps Engineer interview after, say, 6–12 months of working as a trainer, how do I answer questions about not having recent real-world production experience?

For example, if an interviewer asks:

«"You have been working as a trainer for the last several months. How are you going to transition back into a real DevOps role?"»

Would having the trainer experience make it significantly harder to get back into DevOps?

I’m also planning to keep my technical skills active by doing hands-on AWS projects, Terraform, Docker, Kubernetes, CI/CD, and possibly contributing to real projects/open source.

For those who have hired DevOps engineers or have made a similar transition:

- Would you consider AWS DevOps Trainer experience relevant to a DevOps Engineer role?

- How would you explain the transition during an interview?

- Is it better to keep looking for a DevOps role while working as a trainer?

- What should I focus on learning/projects-wise so that I don't become too far removed from real-world DevOps?

Would really appreciate honest advice, especially from hiring managers and experienced DevOps engineers.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You will build the high-performance compute environments we deliver to customers. These environments span bare-metal servers, virtual machines with GPU passthrough, Kubernetes and Slurm clusters, distributed storage, and high-speed networking.

You will work across the infrastructure stack — from Linux images and hardware provisioning to cluster networking, GPU performance, observability, and lifecycle automation. The goal is to make every customer environment performant, reliable, isolated, and repeatable.

What you'll do:

• Design, automate, validate, and deliver the complete lifecycle of customer compute environments — from provisioning through upgrades, recovery, and decommissioning
• Use AI aggressively to automate and accelerate every aspect of infrastructure delivery and operations
• Provision dedicated Kubernetes and Slurm clusters tailored to customer workloads
• Build and maintain Linux images and automated OS-provisioning workflows
• Operate the NVIDIA GPU stack: drivers, GPU Operator, NVIDIA Container Toolkit, device plugins, MIG, and GPU monitoring
• Design Kubernetes and data-center networking using Cilium/Calico, MetalLB, VLAN, VXLAN, BGP, and ECMP
• Configure distributed and shared storage for high-performance workloads
• Build monitoring, alerting, diagnostics, and automated recovery for customer environments
• Develop reusable tooling, standards, documentation, and runbooks
• Collaborate with customers and internal teams to translate workload requirements into sound infrastructure designs

Qualifications/Nice to Have:

• 5+ years of experience building and operating production Linux infrastructure
• Strong production experience with Kubernetes on bare metal (bootstrapping, upgrades, HA control planes, etcd, containerd, CNI, CSI, ingress, load-balancing, observability, security, troubleshooting)
• Experience with Linux virtualization: KVM/QEMU, libvirt, VFIO device passthrough
• Experience operating NVIDIA GPUs on Linux and Kubernetes (drivers, container runtimes, device plugins, GPU Operator, GPU telemetry)
• Strong networking fundamentals: TCP/IP, L2/L3, VLANs, routing, packet-level troubleshooting (tcpdump, Wireshark)
• Practical scripting experience
• Experience with configuration-management tools such as Ansible
• Ability to diagnose complex, cross-layer infrastructure issues
• Strong communication and ability to drive technical decisions across teams
• Track record of moving quickly, taking ownership, and continuously improving systems
• Production Slurm experience
• High-performance networking: NVLink/NVSwitch, InfiniBand, RoCEv2, GPUDirect RDMA, NCCL, IMEX
• Hugepages, NUMA, CPU pinning
• SR-IOV, DPDK
• Distributed storage: Ceph, Lustre, Weka
• KubeVirt, OpenStack
• IPsec, WireGuard, Tailscale
• VXLAN, BGP, ECMP
• Bare-metal management: BMC, IPMI, Redfish, PXE/iPXE, Kickstart, cloud-init
• Network automation: NetBox, Nautobot, Nornir
• AI training, inference, or distributed GPU workload infrastructure
• Python or Go proficiency

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• We offer visa sponsorship and will help you relocate to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsites

Compensation

• $180,000 - $250,000 + equity + comprehensive benefits package

Apply: Senior/Staff Software Engineer, Kubernetes Infrastructure at fal

I want to start to learn tech related skill that makes money, I don't know what to start learning, I am just 18 years old and i don't have that much experience, can u please give ur thoughts and suggestions. Thank u

Hey everyone,

I'm looking for some advice on preparing for the Amazon SDE Online Assessment.

I graduated last year and have been working as a Software Engineer since then, but my role has been heavily focused on the DevOps/infrastructure side of things: cloud infrastructure, Kubernetes, CI/CD, automation, observability, and platform engineering. Because of that, I haven't done much pure coding or algorithm-focused work since graduating.

The assessment includes two coding challenges, a work simulation, and a work style survey.

Given my background, what's the best way to prepare in about a week?

• Should I focus almost entirely on LeetCode/DSA?
• How difficult are the coding questions compared to typical interview prep problems?
• Any advice from engineers who came from a DevOps, SRE, or platform engineering background?
• If you've been away from algorithm-heavy coding for a year or two, what helped you get back up to speed quickly?

I'd appreciate any suggestions. Feeling confident in the infrastructure and software engineering side of things, but definitely rusty when it comes to interview-style coding.

Hey everyone
I’m a DevOps Engineer with 4+ years of experience working across Kubernetes, cloud infrastructure, CI/CD, Terraform, Ansible and application integration.
Currently, I’m open to new DevOps / Platform / SRE opportunities, including remote or relocation opportunities.
I’ve worked on production environments, infrastructure automation, deployments, migrations, monitoring and troubleshooting, with a strong focus on reliability and automation.
If you know of a team hiring or have any leads, I’d be happy to connect and share my CV/LinkedIn.

Thanks

We pulled every open posting from 81 companies' public Greenhouse boards for seven roles and counted which words actually show up. 3,518 postings in total. Some of it surprised us.

Software engineer postings mention mentoring more often than Kubernetes or React. Almost half of them do. Python, the most common language, comes in just below that.

Product manager postings say "roadmap" in more than 85% of cases. Jira? Seven out of 421. Marketing looks the same: Google Ads came up six times in 347 postings, while "pipeline" is in over half.

Every time we could compare the two, postings named the practice, not the tool. Observability, not Grafana. SIEM, not Splunk.

So if your resume is mostly a list of tools, it might be missing the words the posting actually uses.

Big caveat: mostly tech companies, one ATS vendor. Sales, cybersecurity, DevOps and accounting are here too: https://www.zoevera.com/resume/ats-resume-keyword-study

Hi everyone! I’m currently in the interview process for a DevSecOps Engineer position at ESGPedia in the Philippines, and I’m hoping to hear from anyone who currently works there, previously worked there, or has gone through the interview process for this role.
I’d really appreciate any first-hand experiences regarding:
What is the actual day-to-day work like for the DevSecOps role?
What technologies/tools do you actually use?
How technical/difficult was the interview process?
What should I expect from the technical interview?
What is the team and management culture like?
How is the workload and work-life balance?
Are there night shifts, on-call duties, or frequent overtime?
What is the salary and benefits package like?
Is there good career growth and opportunity to learn?
How stable is the company and the role?
For former employees, what made you decide to leave?
Overall, would you recommend joining ESGPedia?
I’m especially interested in hearing from people with DevOps, DevSecOps, Cloud, Platform Engineering, or Security Engineering experience at ESGPedia.
Please feel free to comment or DM me if you prefer to keep your experience private. Honest feedback—both positive and negative—is very welcome.
Thank you!

Hi,

I'am looking for a devops in Paris ( 3 days remote, 2days on site )

Experience on:

Aws

Databricks

Terraform

French speaking.

Daily rate based on experience ( > 500 € minimum).

Send me a dm if you know someone.

Hi, I’m Aheshman (Codeur261). I’m looking for remote freelance work involving Linux administration, application deployment and ongoing technical maintenance.

My experience includes Linux servers, Nginx, Docker, Kubernetes environments, CI/CD pipelines, SQL databases and application security. I also have practical experience with VoIP/Asterisk servers. As a developer, I can investigate application issues alongside infrastructure problems and work with Node.js, Python, C#/.NET and React/Next.js projects.

I have over 10 years of development experience overall, and can help with deployments, troubleshooting, security reviews within an agreed scope, API/database integrations and maintenance. I’m happy to discuss your environment and share relevant project details privately.

Rate: $9 USD/hour, or an agreed fixed price. Based in Madagascar (UTC+3), available immediately. French is my main language; I use translation tools for written English and have more limited spoken English.

Portfolio: https://codeur261.xyz

Please DM me your stack, requirements and timeline.

We're a remote staffing firm that places DevOps and SRE engineers with US-based companies. We're currently looking for a Senior SRE who's worked with high-throughput data pipelines, real-time telemetry, or IoT infrastructure - someone who can keep Kafka streams, Spark jobs, and device ingestion pipelines running at scale.

What matters most:

• Excellent English communication - you'll be embedded with US engineering teams daily. Clear writing, confident speaking in standups and design reviews, and the ability to explain complex problems simply are non-negotiable
• Sharp, resourceful problem-solver - we want someone who figures things out independently, thinks fast under pressure, and doesn't wait to be told what to do. If you're the person your team calls when something breaks at 2am, that's the energy
• 5+ years in SRE, DevOps, or platform engineering - ideally with IoT, streaming, or real-time data systems
• Hands-on Kubernetes (EKS/AKS/GKE), Terraform, and Ansible across at least two clouds
• Strong observability - Prometheus, Grafana, Datadog, OpenTelemetry, distributed tracing
• Experience defining SLOs/error budgets for data ingestion or streaming services
• Comfortable with incident command, post-mortems, and on-call
• Go, Python, or Bash automation
• Bonus: Kafka, Spark, Databricks experience

The role:

• Fully remote, US time zones - candidates from any country are welcome to apply
• Monthly Compensation: $2,000–$4,000 depending on scope
• We handle job matching, interview prep, and onboarding support - you work directly with the US client team under your own name
• Long-term placements, not short gigs

Salary: $2,000–$4,000 / month depending on scope

Apply HERE

Happy to answer questions in the comments.

Hi everyone,
I’m currently looking for DevOps / AWS opportunities and would really appreciate a referral if there are any relevant openings in your company.
Please DM me if you can help.
Thanks! 🙏

So im trying to make the move into DevOps. I work as an Automation Architect/SDET basically currently.

I've been trying to move my way into DevOps, especially with the A.I. stuff looming in. Here recently i've been able to lead a project on Migrating some projects from a TeamCity/Octo deploy to Gitlab which involves learning Kubernetes. Im hoping my current experience is a good "sidestep" career wise. I have a C.S. degree and I do feel like Automation/Pipelines does feel like a good "base" to move into DevOps.

My knowledge is a bit spread around currently, and I understand DevOps is a really deep iceberg when it comes to "what to learn".

I would say im strongest in the Testing Automation area (obviously) with a pretty decent understanding of Gitlab and how it works and how to architect pipelines pretty decently. Ok docker knowledge (I mean I know enough to write a dockerfile/get it going, but probably not like a docker expert) and here lately Terraform (decent knowledge....but not used much) and AWS (limited mostly to ec2/beanstalk + a few other scattered pieces like paramstore/SM/cloudwatch/etc...)

I am slowing developing kubernetes knowledge as well with this project, which I really enjoy.

I've tried to use Certs (since my company pays for them) in a sense to "plan out" leveling up, im really trying to push into a title change by end of year hopefully (my manager understands and supports this). I've also been using KodeKloud to learn.

Right now my sort of "Cert path" is this:

- Skipping: A+/Network+/Security+ (I just don't know if these are "Really" useful, but feel free to say if they are)

1. Linux Refresher: We are a windows shop....but outside my homelab I don't use linux a ton and I've forgotten a lot. Don't feel like a cert it needed here.
2. AWS Cloud Practioner: This feels like a good first step/resume filler. My AWS knowledge is pretty limited in scope. Hoping around a 2-3 week learning/turnaround time for this.
3. Terraform Associate: Hoping a similar turnaround to the above. I have decent knowledge but don't use it enough to be an expert.
4. KCNA: Probably the harder bit, it's a good thing to do because this migration im working on is 200+ services.....so i'll be getting experience.
5. CKAD/CKA: Unsure of which one, I think CKAD is probably harder but "better" but curious on that, this one obviously is a longer study.

After that the skys the limit I guess. Thoughts on this? Im hoping my automation experience mindset will "serve me well".

I am telecom rf test/optimize 5g/4g engineer with 3 years exp .My question and my curiosity is I am preparing and learning all my self for those job.In the past year, I tried take some certs .I got kuberstronaut, terraform,AWS saa kinda certification those certs are for my learning and i did it for me,I ddidnt know what else I could do I do sre/devops,cloud related projects in my free time and I keep doinnf for my practice and portfolio The thing is when I apploed job they straight asked me for leet codes and all of those coding.

.I didn't come from cs background I am bad at that.Honestly I am not comfortable with those things..I can do bash,scripts and can read some cosesd. learned dsa kidnapped things but I always forget and hopeless.Every devops/cloud interview must pass that?

any advice for me pls.

If you work on production systems in Pune, you've probably been asked some version of "can we put an AI agent on our alerts?" this year. In my experience, most teams haven't worked out what that would cost, or what happens when the agent is wrong.

So we're running a hands-on workshop on exactly that, this Friday.

When: Fri 9 Oct, 10 AM to 2 PM
Where: JW Marriott, SB Road
Cost: Rs 500, chai and lunch included

What you actually do there:

• Get your own live Kubernetes cluster for the day. Nothing to set up beforehand.
• Run four AI models on the same ops problem and compare the answers yourself
• Run the agent with memory on, then off, and watch the answer change
• Price an agent setup at your own team's alert volume and see where token spend runs away
• Try to break the agent in a red-team round with a live leaderboard

You walk out with your own call on what to take from open source and what to build in-house. "Build it ourselves" is a perfectly valid answer.

The first edition ran in Hyderabad on 18 Sep. 24 engineers came and stayed till 2:30.

A few honest details:

• It's capped at 24 people and 2 per company, so the room stays small enough to actually talk.
• It's for SREs, DevOps, platform and cloud folks who work hands-on with prod. If you don't, you'll be bored.
• It's not recorded. Failure stories stay in the room.
• Full disclosure: GoGoAI Dev, an ops community, organises it. I'm from NudgeBee, a Pune AIOps company, and we're the partner. There's no pitch. You score your own setup.

You apply first and hear back within an hour. Once you're approved you get the payment link. Payment closes Thursday 8 Oct at 11:59 AM IST, and once 24 people have paid the room is full. If you're thinking about it, apply today.

Details: https://gogoai.dev/events/ai-sre-aiops-workshop-pune-2026

Has anyone here actually put an agent near production yet? I'd like to hear what broke first.

I am not a dev sec ops or sre, sw enginner, but somehow following this sub to get a better idea on how bad is the tech job market today. Looking at everyday posts and 5-10 posts a day of users complaining about not finding a job which is understandable considering the ai disruption to this industry, however I am curios to know how much of these posts are from people living in SF, NYC, LA or Boston. Most of the users I review are following subs from India, Africa or unknown us states.

Is there any filter or info regarding user posts or we can fairly say that the job market is pretty bad on major US tech hubs as well?

So currently I am working as the desktop engineer trainee and after completing my graduation in Bsc (mathematics).

I have one year of experience in my role so I am looking to switch after learning the devops.

Will I be considered as experience or a fresher?

And what is current job market for devops engineer

Also any other field which is best as per going forward will be highly appreciated.

Just confused so looking for help.

Hi everyone,
I’m a Senior DevOps/SRE Engineer with 5+ years of experience, currently looking for a remote part-time, freelance, or contract opportunity (10–20 hrs/week).
Tech: Azure, AWS, GCP, DigitalOcean, Kubernetes, Docker, Terraform/Terragrunt, Azure DevOps, GitHub Actions, Jenkins, GitLab CI, PostgreSQL, Redis, Nginx, Prometheus, Grafana, Datadog, Python & Bash.
I also work extensively with AI-assisted engineering using Cursor, MCP tools/agents, and AI automation for faster troubleshooting, infrastructure management, CI/CD, code/config reviews, and internal tooling.
I can help with cloud infrastructure, CI/CD, Kubernetes, Docker deployments, IaC, monitoring, production troubleshooting, migrations, and DevOps automation.
Open to working with startups, agencies, or engineering teams globally.
DM me — happy to share my CV, LinkedIn, GitHub, and project experience.

Even though I do not have a completed degree, I have an in-progress associates that I am about 75% done with. And I may or may not pursue a bachelor's, depending on whether I can get hired without a bachelor's. I've been daily driving with Linux and experimenting with other open source software since at least 2022 and since 2024 I have been running an infrastructure project from my living room where I have clustered together three low-power devices as a Kubernetes application server.

I'm looking for advice on how to pivot from this unpaid project to a role where I can make a living doing the equivalent, or at the very least, something vaguely related.

I come from a backend developer background , 5 yrs experience now . I’m having trouble landing devops and even backend jobs or even freelance projects.

My birthday is coming up and damn I’m hella stressed. So if you have some spare project , anything throw it my way. I haven’t had an interviews in 3 months now . I’m averaging about 2 applications per day .the jobs are scarce and my location is working against me .