InfOE•10mo ago

Are Devlops roles OE friendlier than software e...

Are Devlops roles OE friendlier than software eng roles? Is it easy to get a Devops role without experience in it? I'm a senior level SWE

11 Replies

Needle•10mo ago

Thread automatically created by darling_84675 in #🤔｜questions

metropolitan-bronze•10mo ago

Also, what do you guys do all day? Setup new jenkins pipelines and write cloud formations stuff? Asking because there are no Golang Backend roles on the market right now 😭

extended-salmon•10mo ago

Time to pick up Java or C# Thats not gonna answer your question but, if you wanted to stay as back end SWE, yeah

metropolitan-bronze•10mo ago

I don't mind Java, as long as it's not too enterprisy I was hoping to avoid the language context switching since a lot of devlops roles also use Go

extended-salmon•10mo ago

Hmm well maybe others have anecdotes that contradict me here, but I'm not sure how you are finding backend specific roles without going into an enterprisey org The smaller and more flexible companies are gonna be looking for full stack

metropolitan-bronze•10mo ago

nah, enterprisey org is fine. enterprisey codebase is cancer though

extended-salmon•10mo ago

Well, I'm only 5 yoe, but in my experience those two things go hand in hand lol

metropolitan-bronze•10mo ago

Notes from a call I had with Gear (a big supporter of DevOps and a DevOps chad himself)

Why DevOps?
    Data Entry - Easy to teach and anyone with a computer and tech literacy can do it
    Data Analyst - Slightly more technical, but easy to get certs on SQL, Looker, Tableau, PowerBI, etc. 
    - Organizing data related to sales, logistics etc.
    Data Engineer, Data Scientist, and Software Enginers - often require a 4 year and/or Masters
    DevOps - Fewer barriers to entry like DS, DE, SWE roles
    - These problems have already been solved by Google, Amazon, Microsoft, Netflix, etc.
    - Requires some niche knowledge but verfy focused on Kubernetes, Docker, etc.
    - Much less competition than DA work
    - After developing the pipeline, you just need to maintain it
    - Tools & Tech: Kubernetes, Docker, GitHub Actions, Golang, gRPC, Terraform, Ansible, AWS, Azure, GCP
    - https://roadmap.sh/devops

Why DevOps?
    Data Entry - Easy to teach and anyone with a computer and tech literacy can do it
    Data Analyst - Slightly more technical, but easy to get certs on SQL, Looker, Tableau, PowerBI, etc. 
    - Organizing data related to sales, logistics etc.
    Data Engineer, Data Scientist, and Software Enginers - often require a 4 year and/or Masters
    DevOps - Fewer barriers to entry like DS, DE, SWE roles
    - These problems have already been solved by Google, Amazon, Microsoft, Netflix, etc.
    - Requires some niche knowledge but verfy focused on Kubernetes, Docker, etc.
    - Much less competition than DA work
    - After developing the pipeline, you just need to maintain it
    - Tools & Tech: Kubernetes, Docker, GitHub Actions, Golang, gRPC, Terraform, Ansible, AWS, Azure, GCP
    - https://roadmap.sh/devops

metropolitan-bronze•10mo ago

I wish lmao

metropolitan-bronze•10mo ago

Then what

metropolitan-bronze•10mo ago

It usually depends, generally working with Openshift clusters, building/testing/configuring operators, managing the ansible/terraform configurations for the clusters (we have a hybrid setup for them), building/maintaining our helm charts, maintaining our GCP env and keeping tabs on config connector, all while managing our grafana/prometheus instances and proofing stuff out (right now I'm building out our isito mesh). I build Gitlab pipelines sure, but I wish I could do that all day haha I primarily use python and bash, I use go occasionally for the operator stuff all that being said, my BIGGEST grip, like I've said before, are the interviews, they fucking blow

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Are Devlops roles OE friendlier than software e...