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
Needle•9mo ago
Thread automatically created by darling_84675 in #🤔|questions
quickest-silver
quickest-silver•9mo 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 😭
foreign-sapphire
foreign-sapphire•9mo 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
quickest-silver
quickest-silver•9mo 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
foreign-sapphire
foreign-sapphire•9mo 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
quickest-silver
quickest-silver•9mo ago
nah, enterprisey org is fine. enterprisey codebase is cancer though
foreign-sapphire
foreign-sapphire•9mo ago
Well, I'm only 5 yoe, but in my experience those two things go hand in hand lol
correct-apricot
correct-apricot•9mo 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
sensitive-blue
sensitive-blue•9mo ago
I wish lmao
quickest-silver
quickest-silver•9mo ago
Then what
sensitive-blue
sensitive-blue•9mo 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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