Hiring Cloud Engineers Who Can Work Across AWS, Azure, and GCP

Most companies write a cloud engineer job description like they are ordering off a single menu. AWS this, Kubernetes that, a few years of experience and done. Then the business signs a deal that runs half its workloads on Azure, the analytics team quietly builds on GCP and the engineer who was perfect on paper can only really operate in one of the three environments the company depends on.That gap between how companies hire cloud engineers in India and how they actually run their infrastructure is the whole problem with cloud recruitment right now. 

The demand side is not subtle. According to Pluralsight's State of Cloud Report, roughly 85 percent of enterprises now use more than one cloud provider, and the vast majority of workloads already sit in the cloud. Meanwhile, Nasscom's "Cloud Skills: Powering India's Digital DNA" report projects India's cloud talent gap at roughly 5 to 6 lakh professionals by 2025, against demand crossing 20 lakh, or two million. Every serious company is hiring into the same shortage and most are still screening for a single platform specialist when the job quietly requires someone who can move between all three. 

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Multi-Cloud Is a Real Skill, Not a Bullet Point

There is a comfortable myth that a strong AWS engineer can "pick up" Azure or GCP in a few weeks. Some can. Many cannot, at least not to the depth production work demands. The core concepts transfer, compute, storage, networking, identity, but the implementation details differ enough that real fluency across platforms takes deliberate experience.

That is exactly why the market rewards it. Engineers with genuine multi cloud fluency command something like 15 to 20 percent more than single platform peers and that premium exists for a reason that the supply is thin. Anyone doing multi cloud engineer recruitment seriously has to understand they are not filling a common role, they are competing for a scarce one and pricing and process have to reflect that.

The mistake companies make is treating "AWS + Azure + GCP" on a resume as proof. It usually is not. A candidate may have deep hands on depth in one and passing exposure to the others. The job of a good hiring process is to tell the difference between fluency and familiarity, before the offer goes out, not six months into a migration.

Get You Certifications the Interview, Not the Hire

Certifications matter, but they are a filter, not a verdict. An AWS Solutions Architect or Azure Administrator cert signals a baseline. It does not confirm someone can debug a broken deployment across two clouds at once, reason through a cost blowout, or design for failure under real constraints.

The abilities that actually predict job performance sit underneath the certificate. Infrastructure as Code is the clearest example, Terraform, CloudFormation, Bicep and it shows up in a majority of senior cloud job descriptions precisely because it separates engineers who click through consoles from ones who build repeatable, versioned environments. Container orchestration with Kubernetes is another premium signal. So is the ability to think about security and cost, not just uptime, since FinOps and cloud security are now where a lot of the real money and risk live.

This is where a lot of cloud talent India produces in volume still falls short of what enterprises actually need. There are plenty of certified administrators. There are far fewer engineers who can architect across platforms and explain their trade offs clearly.

What to Actually Test For

Hiring well here means testing depth, not listening for keywords.

The strongest approach is a scenario built around a real problem which is to give the candidate a messy, multi-cloud situation and watch how they reason through it. Not "do you know Terraform" but "here's an environment that needs to span two providers, walk me through how you'd structure it, where it breaks and what it costs." That surfaces genuine ability regardless of which certifications sit on the resume.

Beyond the technical core, cloud engineering spans a wide spread of roles worth screening for by name:

• Cloud engineers and administrators who provision and maintain infrastructure day to day
• DevOps and platform engineers who build internal tooling and CI/CD pipelines
• Site reliability engineers focused on uptime, automation, and incident response
• Cloud solutions architects who design across services and justify trade-offs
• Cloud security engineers managing IAM, compliance, and risk
• FinOps specialists who control and optimise cloud spend
• Data and ML cloud engineers working on analytics and model deployment

Fluency or familiarity? Prism HRC can tell. Talk to us.

The skills that separate the strong candidates are just as specific:

• Infrastructure as Code (Terraform, CloudFormation, Bicep)
• Container orchestration (Docker, Kubernetes)
• Linux and networking fundamentals
• IAM and governance at scale
• Observability and monitoring
• AI/ML deployment on SageMaker, Azure ML, or Vertex AI, a skill area that, per PwC's Global AI Jobs Barometer, commands one of the steepest wage premiums in tech right now 

Any smart DevOps cloud hiring plan now treats automation and reliability as core, not nice to have.

Why Cloud Hiring Keeps Stalling

The competition is brutal and the numbers show it. In India, AWS Azure GCP hiring pulls talent in three different directions: AWS dominates hiring volume and product companies, Azure is growing fastest on the back of BFSI and Microsoft heavy GCCs  and GCP roles are fewer but pay a premium because the pool is smaller. A company that fixates on one platform without understanding this landscape keeps benchmarking its offers wrong and losing candidates it should win.

Money moves fast here too. Mid level cloud engineers in India sit roughly in the 9 to 19 LPA band, with senior architects going well beyond that and every premium skill, multi cloud, Kubernetes, security, AI integration, stacks on top. A firm anchoring to last year's compensation quietly falls behind the market without realising why its shortlist keeps evaporating.

And then there is speed, the quiet killer in every tight talent market. Strong cloud engineers hold multiple offers. A slow, multi-round process that drags over weeks is not rigorous, it is a way to lose people to whoever moves first.

What a Smarter Approach Looks Like

The companies hiring well across clouds share a few habits.

They define the role by the actual infrastructure, not a template. If the business runs on AWS and Azure with GCP analytics on the side, the brief and the assessment should reflect that reality rather than a generic wishlist.

They test for reasoning and depth, using real scenarios instead of trivia, so they can separate genuine multi-cloud fluency from resume optimism.

They benchmark pay to the specific platform and skill premium, not a flat national average and they account for the fact that scarce skills cost more.

They move quickly and keep the process tight, because a clear, fast process wins candidates that a slow, budget heavy one loses.

Where Prism HRC Fits In

At Prism HRC, we see cloud hiring from the side that trips most companies up which is telling real capability apart from a well written resume. Anyone can list three clouds. Far fewer can actually operate across them under pressure and that difference is exactly where a bad hire hides. We built our screening around it. We assess for demonstrated depth in Infrastructure as Code, orchestration, security and genuine cross platform reasoning, rather than counting certifications and we map candidates to the specific platform mix a client actually runs. We also keep our compensation benchmarks current and our process fast because in a market this tight the clearest, quickest offer usually closes the candidate. The cloud skills gap in India is real and it is not shrinking soon. The companies that assess honestly, price correctly and move decisively are the ones who'll have working platform teams while the rest are still re-posting the same role.