Where therare fewrise.
Fair, evidence-based interviews that surface real talent — every time.
What it does
An interviewer, a proctor, and a judge — in one system.
It runs the interview
The bot asks, listens, and adapts in real time — pushing harder when a candidate excels, shifting topics when they struggle. No human in the loop.
It watches everything
Dual-camera AI proctoring catches phones, extra people, tab switches, and off-screen coaching. Every suspicious frame is captured as evidence.
It judges fairly
A structured rubric scores every answer the same way, every time — a private scorecard with strengths, red flags, and a hire recommendation.
How it works
Three steps. Zero babysitting.
Invite
Send one link. The candidate joins from any browser — no installs.
Interview
The AI conducts an adaptive, proctored session end to end.
Decide
The hiring team gets a full scorecard with evidence and a recommendation.
The verdict
A private scorecard, backed by evidence.
For every candidate, your team gets a structured verdict — dimension-level scores, strengths, red flags, integrity signals, and a clear hire recommendation. Every number traces back to what the candidate actually did.
mk
hiring@rarefourth.com
DEVOPS ENGINEER
senior · 12 questions
Interview Report
Session Summary
01Topic Scores
Strengths
- ✓Strong understanding of Docker concepts
- ✓Good proficiency in Terraform and infrastructure automation
- ✓Solid knowledge of Kubernetes and container orchestration
- ✓Hands-on experience with AWS services
- ✓Good grasp of DevOps tools and practices
- ✓Effective problem-solving and troubleshooting skills
- ✓Familiarity with monitoring using Prometheus
- ✓Clear understanding of microservices architecture
Weaknesses
- ✕Depth of knowledge in Python can be improved (advanced concepts and best practices)
- ✕Limited experience with Ansible for configuration management
- ✕Bash scripting could be more robust and optimized
- ✕DevSecOps practices need deeper practical exposure
- ✕Could provide more structured and detailed responses in some areas
The candidate sees questions, a timer, and a coding space. Nothing else. The hiring team sees everything.
FAQ
Questions, answered.
No. RareFourth produces a recommendation and a full evidence trail; a human on your team makes every hiring decision.
Every candidate faces the same adaptive interview and is scored against the same rubric — so results reflect the candidate, not the interviewer's mood or first impression.
Dual-camera AI proctoring plus browser signals flag phones, extra people, second screens, tab switching, and off-screen coaching. Suspicious moments are captured as evidence for a human to review — never used to auto-reject.
One link, any browser, no installs. They see questions, a timer, and a coding space — no scores, no hints. Fair and consistent, every time.
Tell us the role and the skills that matter. We run the evaluations and hand you finished scorecards with recommendations. Reach out below.
The result
Hire the best employee for your company.
Every candidate, judged the same way — so the person you hire is exactly who they appeared to be. Confident hires, backed by evidence, every time.