Infrastructure Recruitment

Data, Cloud &
AI Infrastructure Recruitment

Davidson Tech recruits the data, cloud, platform and infrastructure professionals required to build reliable digital and AI systems, scaling our International AI & Technology Recruitment expertise.

As organisations move from AI experimentation into production, the quality of the underlying data platforms, cloud architecture, developer infrastructure, observability and security becomes as important as the models themselves.

Roles we recruit

Data Engineer / Senior Data Engineer / Principal Data Engineer
Data Architect / Data Platform Architect
Analytics Engineer / BI EngineerCloud Architect / Cloud EngineerPlatform Engineer / Platform Engineering LeadDevOps Engineer / DevSecOps EngineerSite Reliability Engineer (SRE)MLOps Engineer / ML Platform Engineer
AI Infrastructure Engineer / GPU Infrastructure specialist
Kubernetes / container platform specialists
Cloud Security Engineer / Infrastructure Security
Head of Data Platform / Head of Cloud / Director of Platform Engineering

What these teams enable

  • Reliable data ingestion, transformation and governance
  • Scalable cloud and hybrid infrastructure
  • ML training, serving and model lifecycle operations
  • Developer platforms and internal tooling
  • Observability, SLOs, reliability and incident response
  • Security, identity, secrets and infrastructure controls
  • Cost optimisation and capacity planning
  • High-performance compute and AI infrastructure where required

International sourcing for infrastructure talent

Data and cloud skills are available in many markets, but senior platform, SRE, MLOps and AI infrastructure experience can still be constrained. Davidson Tech can map India, the UK and Europe, Singapore, North America, Australia and the GCC for candidates who have operated systems at comparable scale.

Recruiting for AI infrastructure

AI infrastructure searches may require a blend of distributed systems, cloud, containers, accelerators, networking, storage, model serving, observability and cost optimisation. Davidson Tech can distinguish these profiles from conventional infrastructure roles and target engineers with practical experience supporting AI workloads.

Assessment Approach

1

Understand the current architecture, scale, reliability targets and transformation roadmap.

2

Identify which capabilities are architecture-level versus hands-on engineering requirements.

3

Map candidates from environments with comparable data volumes, traffic, compliance or AI workloads.

4

Assess system design, operational ownership, failure handling, observability, security and cost trade-offs.

5

Present candidates whose experience aligns with the actual platform rather than a generic cloud certification list.

Frequently Asked Questions

Yes. Searches can cover data engineering, data architecture, analytics engineering, BI, data platforms and leadership roles.

Yes. Relevant mandates include Site Reliability Engineers, Platform Engineers, DevOps, DevSecOps, Kubernetes specialists and platform leadership.

AI infrastructure recruitment focuses on engineers who build and operate the compute, data, networking, serving and platform layers required for machine learning and GenAI workloads.

Yes. Davidson Tech can source internationally when the role benefits from access to a larger pool of data, cloud or infrastructure specialists.

Scaling data or AI into production?

Davidson Tech can recruit the engineers and leaders who build the platform beneath the models. Last updated: August 2026.

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