See how candidates handle outages before something actually breaks.
Respect your candidates' time - and your engineers' too.
Use our ready-made scenarios or let us build custom assessments for your stack.
Pick from our ready-made scenarios (GPU debugging, server performance, Kubernetes) or tell us your stack and we'll build custom assessments.
Share a link. Candidates enter their details and drop straight into a live terminal. No downloads, no accounts, no friction.
See exactly how they debug: time to resolution, commands used, thought process. Make confident hiring decisions backed by data.
Everything you need to assess real engineering skills.
Full Linux containers with production-realistic scenarios. Not a sandbox, a real system to debug.
Automatic timing from first command to incident resolution. Compare candidates objectively.
Real SOPs like your team uses. Track if candidates can follow procedures or need extra guidance.
Paste event tracking and pattern analysis to flag candidates who might be using AI assistance.
Full session logs with timestamps. Review every step the candidate took to solve the problem.
GPU drivers, disk space, runaway processes, API configs. Match the assessment to the role.
Each assessment is a carefully crafted incident with realistic logs, configs, and system state. Candidates face the same challenges your team handles in production.
═══════════════════════════════════════════════ INCIDENT ALERT - SEV 1 ═══════════════════════════════════════════════ INCIDENT ID: INC-2026-0119-GPU SEVERITY: Critical AFFECTED: gpu-node-01.neocloud.internal ─────────────────────────────────────────────── GPU compute jobs are failing on gpu-node-01. The node has 2x NVIDIA A100 80GB GPUs that are not being detected by our monitoring. Impact: $4.50/hr revenue loss Queued: 3 customer training jobs ═══════════════════════════════════════════════ YOUR TASK ═══════════════════════════════════════════════ 1. Investigate why nvidia-smi cannot communicate 2. Identify the root cause 3. Restore GPU functionality 4. Verify health check passes
Scenarios matched to every role on your team.
Test incident response, system debugging, and production troubleshooting skills with real-world scenarios.
Assess configuration management, CI/CD pipelines, container orchestration, and infrastructure automation.
Evaluate hardware diagnostics, bare metal troubleshooting, and GPU/accelerator management skills.
Test core Linux skills, process management, and filesystem troubleshooting abilities.
No unfamiliar IDEs. No artificial puzzles. Just a terminal and a real incident - the environment they work in every day.
Everything you need to know about how Parium works.
Candidates connect to a real, isolated Linux environment - not a browser simulation or multiple-choice sandbox. Each assessment spins up a fresh system with the incident pre-configured. They get full terminal access with real bash, real logs, and real system tools. It's the same experience as SSH'ing into a production server.
Parium is built for any role that requires hands-on Linux troubleshooting: Site Reliability Engineers (SRE), DevOps Engineers, Platform Engineers, Data Center Technicians, Linux System Administrators, Cloud Engineers, and Infrastructure Engineers. Our scenarios range from L1 support tasks (config errors, disk space) to L4 senior-level incidents (GPU driver conflicts, kernel modules, PCIe issues).
We monitor for patterns that suggest external help - things like leaving the terminal for extended periods, large paste events, and unusual command timing. Suspicious activity gets flagged in the hiring manager report with enough context for you to make an informed judgment. We can't catch everything, but the patterns are usually pretty obvious.
When the candidate clicks "Verify Fix," we run a health check against the scenario's success criteria (e.g., curl the API endpoint, check nvidia-smi output). If it passes, we record their time-to-resolution. The hiring manager gets a full report: every command with timestamps, hints used, suspicious activity flags, and an AI-generated analysis of their troubleshooting approach and methodology.
HackerRank, Codility, and similar platforms test algorithmic coding in sandboxed editors. Parium tests operational skills in real Linux environments. Your SRE candidates don't need to reverse a linked list - they need to figure out why nginx won't start or why the GPU driver isn't loading. We measure how they investigate, not whether they memorised the answer.
Yes. We can build scenarios that mirror your actual production environment - your monitoring tools, your deployment setup, your common failure modes. Whether it's Kubernetes on EKS, GPU clusters with SLURM, or legacy systems with custom daemons, we'll create assessments that test exactly what your team deals with day-to-day. Get in touch to discuss.
Beyond pass/fail, we give you session replay - watch exactly how candidates approached the problem. You'll see every command they ran, when they pasted content (and what they pasted), when they switched tabs, how long they were away, and when they used hints. It's like watching over their shoulder, but asynchronously. You see how they think, not just whether they got the answer.
Every candidate gets the same scenario, the same environment, the same success criteria. No more "it depends on who reviewed it." Structured evaluation that gives every candidate a fair shot.
No variation between candidates. Everyone faces the same incident with the same tools available.
Clear pass/fail based on whether the fix works - not on how well someone writes a README or formats their code.
Time-to-resolution, commands used, hints requested. Compare candidates on the metrics that matter.
Whether you need a custom scenario for your stack, want to discuss enterprise pricing, or just have questions, we'd love to hear from you.
See real incident performance before you hire.