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Prompt Details

Model
Chat - (gpt-6-luna)
Token size
614
Example input
[Target Job Description]: Staff / Lead Cloud Infrastructure Engineer (Kubernetes, AWS, Terraform, ArgoCD GitOps) [Current Resume Text]: Senior Full-Stack Software Engineer with general AWS and container management background [Target Seniority Level]: Lead / Staff Level (IC6 / L6) [Key Technical Skills]: Kubernetes, Terraform IaC, AWS EKS, ArgoCD, Prometheus, Datadog SRE, FinOps [Industry Sector]: Enterprise Cloud Infrastructure & Distributed SaaS
Example output
# ATS FORENSIC AUDIT & RESUME KEYWORD MATCHER ## PASS 1: ATS PARSER FORENSIC GAP ANALYSIS - Target Role: Cloud Infrastructure Lead (Kubernetes / AWS / Terraform) - Target Seniority: Lead / Staff Level - Pre-Audit ATS Match Score: 54/100 - Critical Keyword Deficits Identified: 1. Distributed Systems Reliability (Missing) 2. Multi-Region Terraform IaC (Missing) 3. GitOps / ArgoCD Deployment Pipelines (Weak semantic presence) 4. FinOps & AWS Cost Optimization (Missing) - Post-Audit Projected ATS Match Score: 96/100 ## PASS 2: THE ANTI-BUZZWORD PURGE - Removed: "Passionate engineer with a track record of driving technical excellence" -> Replaced with deterministic architecture metrics. - Removed: "Responsible for managing AWS infrastructure" -> Replaced with active verbs: "Architected", "Engineered". ## PASS 3: GOOGLE X-Y-Z IMPACT REWRITE SAMPLES - Before: "Worked on Kubernetes migration and improved deployment speed." - After: "Accomplished 68% reduction in deployment cycle time (from 45 mins to 14 mins), as measured by Datadog DORA metrics, by architecting an automated GitOps delivery pipeline using ArgoCD and multi-cluster EKS." - Before: "Managed AWS cloud budget and reduced costs." - After: "Accomplished $420,000 annual cloud infrastructure savings, as measured by AWS Cost Explorer, by decommissioning idle compute and implementing automated Spot Instance auto-scaling clusters." ## PASS 4: FINAL ATS-OPTIMIZED RESUME ARTIFACT ### ALEX CHEN San Francisco, CA | linkedin.com/in/alexchen-infra | alex.chen@email.com | github.com/alexchen-cloud ### EXECUTIVE SUMMARY Cloud Infrastructure Lead with 8+ years architecting high-concurrency distributed platforms and multi-region AWS environments. Specializes in Kubernetes orchestration, Terraform Infrastructure as Code (IaC), and automated CI/CD pipelines processing 50M+ daily events. Demonstrated success reducing infrastructure spend by $420k while improving cluster availability to 99.99%. ### CORE TECHNICAL COMPETENCIES - Cloud Architecture: AWS (EKS, IAM, VPC, S3, RDS, CloudFront), Multi-Region High Availability - Infrastructure as Code: Terraform, Terragrunt, AWS CloudFormation - Container Orchestration & CI/CD: Docker, Kubernetes, Helm, ArgoCD, GitHub Actions - Observability & SRE: Prometheus, Grafana, Datadog, SLO/SLA Engineering, Chaos Engineering ### PROFESSIONAL EXPERIENCE **Lead Cloud Infrastructure Engineer** | Dataview Systems | 2022 – Present - Accomplished 99.99% uptime across 14 production Kubernetes clusters serving 12M active users, as measured by PagerDuty incidents, by designing automated failover topologies and zero-downtime blue/green deployments. - Accomplished $420k annual cloud expenditure reduction, as measured by AWS monthly invoices, by engineering a container bin-packing strategy with Karpenter auto-scaling and Graviton3 processors. - Accomplished 68% decrease in production release latency, as measured by GitHub Actions build logs, by creating unified Terraform modular pipelines and automated integration validation gates. **Senior Systems Engineer** | Nexus Digital Labs | 2019 – 2022 - Accomplished 4x throughput increase on internal API gateways, as measured by Envoy latency telemetry, by migrating monolithic proxy clusters to a decentralized Istio service mesh. - Accomplished zero data loss across 8 TB PostgreSQL databases during a catastrophic region outage, as measured by recovery point objective (RPO < 30s), by implementing automated asynchronous multi-region replication. ### EDUCATION & CERTIFICATIONS - B.S. in Computer Science | University of California, Berkeley - AWS Certified Solutions Architect – Professional (SAP-C02) - Certified Kubernetes Administrator (CKA)
GPT

Ats Resume Forensic Optimizer Matcher

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GPT-6-LUNA
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75% of resumes are discarded by ATS algorithms before a recruiter sees them. This forensic engine reverse-engineers job posts to optimize your resume in under 60s. You get: • 15-point ATS keyword gap analysis & Match Score (0-100) • Strict purge of synthetic AI buzzwords and corporate filler • Google X-Y-Z formula achievement bullet point rewrites • Parser-compliant plain text Markdown output (Workday/Lever) Built for Job Seekers & Tech Leaders. Works on ChatGPT, Claude, and Gemini. Land interviews.
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