Technical Hiring
Assisted Hiring
Source, vet, and shortlist engineers for Go, Rust, Node, Python, cloud, and system design roles with practical screening instead of resume filtering.
Pain
What teams fight today
- Resume noiseScreening pipelines reward keyword padding more than engineering judgment.
- Weak technical signalGeneric tests do not reveal how candidates build, debug, or ship.
- Hiring dragEngineering leaders spend too much time in low-signal interviews.
Gain
What ServLoci gives back
- Practical screeningCandidates are evaluated against real coding, architecture, and debugging work.
- Shorter shortlistYou review fewer candidates with higher signal.
- Better role fitScreening aligns with your stack, constraints, and team expectations.
5Concrete deliverables
5Core capability signals
4Delivery steps
Deliverables
What you can expect
Clear outputs that can be reviewed by engineering, product, and leadership. No vague consulting artifact.
- Role scorecard and technical screening rubric
- Practical coding and system-design evaluation flow
- Candidate shortlist with evidence-backed notes
- Interview loop design for your internal team
- Replacement support for mismatched early placements
Best fit
Teams hiring Go/Rust/Node/Python engineersFounders without time for low-signal interviewsEngineering leaders building infra-heavy teams
Engagement Model
How we run it
A compact, outcome-led workflow designed to move from diagnosis to usable delivery quickly.
01Clarify the actual engineering work and seniority signal required.
02Build screening tasks around your stack and delivery expectations.
03Run technical evaluation and filter for practical execution.
04Deliver a small shortlist with clear tradeoffs and next-step guidance.
Ready to turn this into a working engagement?
Share your current setup, constraints, and target outcome. We will map the next practical step.