Hello Reader,

There are three kinds of cloud jobs right now. One of them is being automated as you read this, and most people doing it have no idea.

After sitting on the hiring side for over 300 interviews this year, the questions have genuinely changed. Here is exactly which zone your role falls into, and the three moves that get you to green.

Red zone: your work can be described as a ticket

L1 cloud support: password resets, access requests, known-issue lookups, all run-book driven, all backed by documentation someone already wrote. This is not speculation. Salesforce's Benioff said on the Logan Bartlett show that they took support headcount from roughly 9,000 to 5,000 because AI agents absorbed a chunk of that work. A human-handled ticket costs $8 to $12. Nobody approving that budget picks the human.

Next: QA and testing that is purely execution, go to this page, click this, check the result matches. That is a job description for an agent, not a person.

Yellow zone: the numbers can look worse than red, and that's not a contradiction

Yellow has three roles, and the first one has the strongest data in this entire breakdown: the sysadmin moving into cloud. US Bureau of Labor Statistics projects minus 4% for network and computer system administrators from 2025 to 2035, a loss of over 13,000 jobs in a field assumed to be safe.

There are still roughly 13,400 openings a year, but none of them come from growth. They come from attrition, retirement, people leaving. PagerDuty's SRE agent runs diagnostics on its own and executes approved fixes. AWS's DevOps agent cut incident resolution from an estimated 2 hours to 28 minutes on a live production disruption at Western Governors University.

So why is this yellow and not red, given the numbers are worse? Because zones are defined by the shape of the work, not the severity of the statistics. A sysadmin still makes judgment calls: two patches land the same day, which goes first, what's the rollback plan, do you page someone at 3am or wait for standup. That cannot go on a ticket. That's the path across.

Second yellow role: data analysts and engineers who run queries without connecting them to the business. Writing the SQL query is exactly what these models are good at. Knowing that revenue is 20% higher because sales changed how they tagged deals in July, something no model can infer from the data alone, is the other half, and it is not getting automated.

Third: cloud program managers who cannot read an architecture diagram. The dividing question for every yellow role is the same: do you decide what gets built, or do you execute what someone already decided?

Green zone: you decide, you design, you defend

Three things define every green role, and some green roles are less technical than the red ones, which surprises people. First, cloud security engineer.

Prompt injection, hallucination, tool poisoning are everywhere with agents right now, and nobody is going to let an agent sign off on whether another agent is safe to deploy. That accountability has to sit with a person.

Second, platform and DevOps engineers, the people building the infrastructure every agent actually runs on. More agents deployed means more platform work, not less, because someone has to decide which agents get access to which internal APIs, and that is an architecture decision with a blast radius. Accenture posted a DevOps role requiring 4 years of CI/CD and Terraform plus a year of LangGraph or CrewAI specifically to build the framework the agents run on.

Third, solutions architect and similar roles such as FDE. More model and service options means more ambiguity, not less, and deriving scope from that chaos is the job. Every design has competing trade-offs you have to defend, and once it's live, you own the outcome. GenAI has been out for 3 years, and there are more solutions architect roles open now than before it landed, not fewer.

One more thing about green: the skills overlap. Forward deployed engineer, one of the hottest roles right now, is essentially coding plus solutions architect skills plus GenAI knowledge. The same skill set pivots into management, since a good architect already has the executive communication and technical depth that role requires. You are not picking one green role. You are picking a skill set that opens several.

The three moves, sorted by zone

If you're red, you have 90 days. Learn infrastructure as code, Terraform or CloudFormation, pick one. Ship one real AI agent project on AWS, not a tutorial. Learn to read a security finding well enough to understand what the scanner is telling you. And yes, pass Solutions Architect Associate, not because certificates get you hired, but because for red zone roles specifically it is the screening filter that gets you past the recruiter. Everything else on this list is what gets you through the actual interview.

If you're yellow, you have 6 months. Do everything above, plus own one architecture decision end to end at your current job and write it down, not a ticket you closed, a decision you made with the trade-offs documented. When the system design review comes up, volunteer for that, not for fixing the ticket.

If you're green, stay green. Move toward the parts of your role where you sign your name, and learn what the AI tools actually do so you are reviewing their output instead of being compared against it.

Switching from mainframe to cloud in my mid-30s with none of this figured out is doable. I have watched a lot of people do it from a standing start. The map above is your 2027 roadmap. Reply with your zone, I read every one, and I'd answer the red ones first.

Keep learning and keep rocking 🚀,

Raj

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