Services

Staffing across every technology domain.

From AI/ML and data to security, development, cloud, and SAP — we find the right technical talent for your team, on your timeline.

Technology Staffing

Every domain. Every level.

AI / ML

  • ML Engineers
  • MLOps Engineers
  • AI Platform Engineers
  • Data Scientists
  • LLM Engineers

Data Engineering

  • Data Engineers
  • Analytics Engineers
  • Data Architects
  • BI Developers
  • Spark / dbt Specialists

Cybersecurity

  • Security Engineers
  • Cloud Security Architects
  • SOC Analysts
  • Penetration Testers
  • IAM Specialists

Software Development

  • Backend Engineers
  • Frontend Engineers
  • Full-Stack Engineers
  • Mobile Developers
  • API Architects

Cloud & DevOps

  • DevOps Engineers
  • Platform Engineers
  • SREs
  • Kubernetes Engineers
  • AWS / GCP / Azure Architects

SAP & ERP

  • SAP Consultants
  • SAP HANA Specialists
  • SAP Basis Admins
  • ERP Integration Engineers
  • SAP S/4HANA Experts

Enterprise & Other

  • IT Program Managers
  • Technical Project Managers
  • Business Analysts
  • QA / Test Engineers
  • Salesforce Developers

Don't see yours?

  • We staff across all technology domains.
  • If the role is technical, we can help.
  • Tell us what you need.

Engagement Models

Flexible for how you hire.

Contract

Specialized talent for 3–12 month engagements. Fast to start, built for project-based work.

Contract-to-Hire

Try before you commit. Bring someone on contract with the option to convert to full-time.

Direct Hire

Full-time placement for permanent roles. We handle sourcing, screening, and delivery.

Consulting Services

Hands-on when you need more than a hire.

For teams that need direct technical execution — not just talent — we offer focused consulting in AI/ML infrastructure and platform engineering.

AI/ML Infrastructure

Kubernetes-native model serving, GPU orchestration, MLflow and Kubeflow pipelines, and end-to-end MLOps. We build the infrastructure that takes models from notebook to production.

  • Model serving at scale (KServe, Triton, TorchServe)
  • GPU cluster orchestration (A100, H100)
  • MLOps pipeline design and implementation
  • Feature stores and model registries
  • Inference optimization and cost reduction

Platform Engineering

Cloud-native platforms on AWS, GCP, and Azure. Infrastructure as code, GitOps-first deployments, and developer platforms that let your engineers ship faster.

  • AWS EKS, GKE, AKS design and management
  • Terraform and Pulumi infrastructure as code
  • ArgoCD / Flux GitOps workflows
  • CI/CD pipeline architecture
  • FinOps and cloud cost optimization

Let's find your next hire.

Tell us the role, the team, and what great looks like. We will take it from there.

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