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Services built for outcomes, not hours.

Two practices that share one engineering bar. Hire from us, or hire us — either way, the people who show up have shipped real software in production.

Practice 01

IT Talent & Recruiting

We don't run a generic staffing desk. CloudSrv recruiters are former engineers, which is why our candidates pass technical bars at top US engineering teams. Every shortlist is curated — never blasted.

Engagement models: permanent placement, contract-to-hire, embedded squads, and PERM / H-1B-aware onboarding for global hires.

Roles we fill: Senior & Staff Engineers, Engineering Managers, Solutions Architects, ML / AI Engineers, Platform / DevOps, Data Engineers, Security Engineers.

A senior engineer in a technical interview
Abstract visualization of an AI system in production
Practice 02

AI Systems Design

Most AI demos die between prototype and production. We've built the difference enough times to make it predictable: real evals, sober latency and cost budgets, observability, and a handoff your team can actually run.

Where we operate: AWS Bedrock, Azure OpenAI, GCP Vertex, plus open-source stacks (vLLM, Ollama) when self-hosting makes sense.

Outcome focus: shipped systems with measurable accuracy, latency, and unit-economic guarantees — not slide decks.

RAG & Retrieval

Hybrid search, evals, prompt eng — pipelines that hold up under real load.

Multi-Agent Platforms

Tool-use orchestration with guardrails, observability, and clean exits.

Vector Infrastructure

Embeddings pipelines, vector DBs, hybrid retrieval at production scale.

Evals & Safety

Real eval frameworks, red-team review, and ongoing quality monitoring.

Inference Cost Tuning

Routing, caching, model selection — cut spend without quality loss.

MLOps & Observability

Tracing, drift detection, prompt versioning — your team owns it day one.

Supporting capabilities

The platform underneath.

Recruiting and AI rarely succeed without solid platform foundations. We deliver those too.

Cloud & Platform

AWS, Azure, GCP. Kubernetes, ArgoCD, Terraform.

Data Engineering

Kafka, Flink, Iceberg, Delta Lake. CDC pipelines done right.

Backend & APIs

Go, Java, Python. gRPC, REST, GraphQL. Monolith → microservices.

Security & Compliance

SOC 2 reviews, IAM hardening, secrets, vulnerability scanning.

QA & Reliability

Test strategy, automation, SLO engineering, chaos & load.

Databases

Postgres, MongoDB, Redis, Elasticsearch — schema, scale, replication.

Let's talk

The role you can't fill. The system you can't ship. Start here.

Tell us what's stuck. We'll come back within 24 hours with a path forward.