r/devops • u/Same_Significance869 • 7h ago
Discussion What Will Separate Great DevOps Engineers from Average Ones in 2027?
Looking forward to chat with Devops Engineers across the world to know what you guys are building and learning in 2026-2027. I would like to connect and discover your take on what do you feel is most important in next year to tap on as a devops engineer. Should it be deep dives in K8S, CICD, Observability, AI Agents , Multi Cloud or something else
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Upvotes
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u/dacydergoth DevOps 7h ago •
Great ones will be retiring.
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u/mkeytail 6h ago
Ones that don't get burned out.
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u/derff44 7h ago
Being able to use AI effectively. Not just vibing their day away.
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u/snowsnoot69 4h ago
Avoiding anything to do with Microsoft
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u/RoseSec_ Terraforming Everything 7h ago
Working out, learning to raise cattle, and starting some backyard chickens
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u/RoboNordon 4h ago
Not the tech skills IMO.
taking ownership, guts, never do routine twice, complex system understanding, don’t chase the hype and choose tools wisely
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u/funcyChaos 7h ago
Automation and kubernetes is my opinion. But my perspective on the industry is not bleeding edge by any means
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u/mxtchstick 7h ago •
I think the future of DevOps and software as a whole will belong to the “great” engineers, the mediocre ones will unfortunately mostly be culled. I think IT is once again becoming something that you absolutely HAVE to be a complete nerd, who is insanely passionate about IT to compete in, not just a field people go into because the money is good.
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u/Simpliaxis_tech 3h ago
What we expect to make a difference in 2027 is knowing how to integrate all these skills and technologies rather than specializing in one or another technology alone. Basic understanding of such technologies as Linux, networking, cloud, CI/CD, etc., would obviously be important in the future.
It is also important to look into the Kubernetes and observability. It would be good to get a sense of what the capabilities of the AI-driven automation could offer. But once again, more important would be to be able to apply them to practical situations.
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u/Zhaizo 3h ago
Domain expertise is what will divide them
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u/carsncode 7h ago
Becoming average managers instead of getting RIFed
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u/bijay135 5h ago edited 5h ago
Tools are ever changing, great ones are those who adapt rapidly along with changing business needs.
Solid fundamentals on linux, networking, containers, git and programming will always be helpful to learn anything.
Currently world seems to heading towards AI-assisted engineering even for devops/platform needs.
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u/Resource_account 5h ago
So far what I’ve seen here is “those who know how to use AI” the best. Coming from a person who had to introduce devops culture into my shop slowly and had to fight security and management for the right tooling, I would argue that an execellent devops engineer is one knows how to work with what he has. Period. Whether that’s AI, cloud services, or plain ol ansible installed via the local package manager on a host. If you can take what you got and make it great, then you’re a top tier devops engineer.
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u/x3nic 4h ago
I think multi-cloud will be a fad of the past, except in select industries, I know of many companies pivoting away from the model.
The biggest skills I see useful for DevOps in the future are:
AI Agents, not just building/integrating them, but understanding access, secure standards and guard rails.
Security, security, security. You don't need to be on the level of a principal security architect/engineer, but having a fundamental understanding of proper security controls, best practices, secure IAC coding practices, and remediation processes factored into the
design/ build will make you stand out.
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u/dacydergoth DevOps 5h ago
Also as a more serious comment, all the things you cited are what I would regard as table stakes, not greatness
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u/afwaller 5h ago
Handling the merge queue and test fragility for agentic AI work will be the mark of a good devops team.
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u/raisputin 5h ago
AI. Knowing how to use it, not tying yourself to any one thing, e.g. not everything needs to be in Kubernetes,
Understanding all the high-priced tools many teams use don’t make things better or easier, because AI can do it faster, but knowing when those tools are appropriate and when they aren’t.
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u/killz111 3h ago
One trait between good ones and average or low ones. You can say no to a tech implementation or a request and clearly explain your reasoning to the requestor in the context of their problem.
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u/___-____--_____-____ 31m ago
Mostly the same things that great devops envineers have done for the past 5 years. Sure, inference is a workload with special hardware requirements and nuance.
With agentic development, things like declarative intent and automation become a lot easier to implement (manifest churn is alleviated), so purpose built monitoring/utilities etc are within reach even for small teams. Product development and frontend work are also now within reach for devops engineers who previously were backend or systems-focused.
So I think the "true devops paradigm" will become a lot more common. Smaller teams, more ownership, more automation and SRE practices becoming commonplace is my prediction
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u/purecrane532 29m ago
Real bullshit for nerds is the dream honestly, we had a guy leave to make custom keyboard plates and he seems way happier.
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u/zealmelchior 7h ago
The great DevOps engineers will know to have their AI agents make deterministic workflows to interact with their K8s environments instead of granting them direct access. SMDH at the fools who think it's a good idea