Talent that already speaks your stack
DevOps, SRE, AI/ML and Release Engineering roles are hard to screen for if you don't do the work yourself. We do — so every candidate we send has already been vetted by practitioners, not keyword filters.
Recruiters who've read the runbooks
Our hiring team is built out of the same consulting bench that ships DevOps, SRE, AI/ML and release engineering engagements — so a screen for "Kubernetes at scale" or "SLO-driven on-call" isn't guesswork, it's a conversation between peers.
- Technical screening built by practitioners, not keyword matching
- Contract, contract-to-hire and full-time placements
- Fast bench access for urgent, hard-to-fill roles
- Culture and stack-fit matching, not just resume matching
Who we place
A sample of the roles teams most often come to us for. Don't see yours — ask; our bench spans the same four practice areas as our consulting work.
DevOps Engineer
Contract / FTECI/CD pipelines, infrastructure as code, cloud migration and cost optimization.
Site Reliability Engineer
Contract / FTESLI/SLO ownership, incident response, observability stack design and on-call maturity.
AI/ML Ops Engineer
Contract / FTEModel deployment pipelines, monitoring for drift, and automation of operational workflows.
Release Manager
Contract / FTERelease governance, versioning strategy and coordination across dev, QA and ops.
Cloud Architect
Contract / FTEMulti-cloud design, security posture and large-scale migration planning.
Platform Engineer
Contract / FTEInternal developer platforms, self-service infrastructure and golden-path tooling.
From request to resource, fast
Share the brief
Tell us the role, the stack, and the timeline — urgent bench requests included.
We screen technically
Practitioner-led interviews against the real stack, not a generic checklist.
You meet shortlists
A short, relevant list — not a resume dump — matched for stack and culture fit.
Onboard & support
We stay involved through onboarding, with upskilling available if a gap remains.