Recruitment & HR Tech

Cloud Migration for Recruitment & HR Tech

Cloud Migration for recruitment & hr tech, built around the constraint that defines the sector: any screening automation must be tested for bias and be explainable to a rejected candidate.

Regulations in scope
4
Systems we integrate
4
Typical first release
6 weeks

What changes when it is recruitment & hr tech

Lift-and-shift is fast and leaves the savings on the table; re-architecting is slower and unlocks them. Most estates warrant a mix, decided workload by workload.

In recruitment & hr tech, any screening automation must be tested for bias and be explainable to a rejected candidate. That single fact reshapes how cloud migration has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is interview scheduling, usually integrated against ATS. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.

The sector constraints we design around

Defining constraint
any screening automation must be tested for bias and be explainable to a rejected candidate
Regulations in scope
labour laws · DPDP Act 2023 · equal opportunity obligations · EU AI Act high-risk classification for hiring
Systems of record
ATS · HRMS · assessment platforms · background verification services
Where we usually start
CV parsing and structured screening

Cloud Migration workloads in recruitment & hr tech

  • CV parsing and structured screening
  • interview scheduling
  • candidate communication
  • job description drafting
  • interview note summarisation

What is included

  • Inventory of every workload, dependency and integration before planning
  • Cost model comparing current spend against realistic cloud spend
  • Migration approach per workload rather than one strategy for all
  • Staged cutover with rollback at each step
  • Security posture, network design and access control
  • Post-migration cost optimisation, because the first bill is never the last word

Questions from this sector

Is AI screening legal?

In India, with care; under the EU AI Act hiring is classified high-risk with specific obligations. Either way, bias testing, explainability and human review of rejections are the baseline we build to.

How do you prevent bias?

Testing outcomes across demographic groups, excluding proxy features, and keeping a human decision on every rejection. We report the test results rather than asserting fairness.

Will cloud reduce our costs?

Sometimes, and not automatically. Variable and spiky workloads usually save; steady heavy compute often does not. The cost model in week one gives you the real answer for your estate.

Can we migrate without downtime?

For most workloads, yes, with staged cutover and parallel running. Some database migrations need a short planned window, which we rehearse rather than improvise.

Should we go multi-cloud?

Rarely, unless you have a specific reason. Multi-cloud doubles operational complexity and most organisations do not recover that cost in resilience or leverage.

Cloud Migration for recruitment & hr tech, worth a conversation?

Tell us the workload and the regulation it sits under. We will tell you what is realistic.

Or email bd@dtrasglobal.com · call +91 74118 77878