Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.2] ATS will like Go/Python/Node, Linux, Docker, and demonstrated production deployment and automation. Main gaps are explicit cloud platform depth and IaC/config-management evidence (Terraform/CloudFormation/Ansible) plus monitoring stacks. Improve by adding concrete cloud/IaC projects (even small) and observability tooling usage. **Strengths:** Go + Python + Node.js (shipping production systems), Linux + Docker + CI/CD fundamentals, Security-minded engineering + automation bias

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.2] Strong match on programming + automation + Linux/Docker, with real production deployment evidence. Weak points are explicit cloud provider depth, IaC/config management, and monitoring/logging stack specifics. Improve by adding concrete cloud/IaC/observability artifacts and metrics (uptime, cost, latency). **Strengths:** Go/Python engineering applied to production, Linux + Docker + deployment operations, Automation-first operations mindset

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] The resume matches automation and Linux fundamentals, but the role is explicitly senior Kubernetes administration plus Volcano GPU scheduling and cluster ops, which are not demonstrated. Senior roles also expect observability and incident ownership signals that aren’t present. Improve by adding proven K8s ownership (RBAC/quotas/PVC/NFS), monitoring tools, and incident outcomes if real. **Strengths:** Python + Bash automation, Linux + production system operation, Systems/orchestration mindset **Missing Required:** Volcano hands-on, GPU cluster ops evidenced, Expert K8s administration evidenced, 3+ years DevOps/infrastructure role (ATS match risk)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] ATS will credit Python/Bash + Linux and general infrastructure orientation, but the JD requires proven Volcano scheduling and expert Kubernetes administration for GPU workloads. Those requirements are not evidenced, and the senior level increases the penalty. Improve only by adding real, specific Kubernetes + Volcano operational achievements (queues, quotas, policies, performance results). **Strengths:** Python automation, Linux operations, Systems design and orchestration concepts **Missing Required:** Volcano hands-on, GPU cluster ops evidenced, Expert K8s administration evidenced, 3+ years DevOps/infrastructure role (ATS match risk)

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.2] ATS will strongly value Go/Python, Kubernetes/container orchestration familiarity, automation, CI/CD, and security mindset, with credible proof-of-work shipping production systems. Main gaps are explicit SRE tenure (5+ years), Terraform/ArgoCD/Helm specifics, AWS EKS/RDS production scope, and observability tooling proof. Improve by adding SRE-style outcomes (SLOs/SLIs, incident response, monitoring stack) and IaC examples. **Strengths:** Go + Python engineering (automation/self-service tooling), Kubernetes + Docker familiarity, Security-first mindset and operational rigor **Missing Required:** 5+ years Platform/SRE experience explicitly evidenced, IaC tooling (Terraform/ArgoCD/Helm) evidenced, AWS EKS/RDS experience evidenced

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.2] Match em automação, Linux, Docker, Go/Python e mentalidade de ferramentas internas, com prova recente de sistema em produção. Lacunas grandes para o núcleo da vaga: AWS prática, Terraform (IaC), Kubernetes e observabilidade (Datadog/SLIs/SLOs) não aparecem com evidência de uso. Para subir no ATS, adicionar um projeto curto “cloud-native” (Terraform + EKS/GKE/AKS + GitHub Actions + dashboards) e bullets de incident response/runbooks/SLIs. **Strengths:** Docker and Linux, Automation/internal tooling (Go), CI/CD + Git discipline **Missing Required:** Infrastructure as Code (Terraform), Cloud experience (AWS), Kubernetes, Observability stack (Datadog)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] A vaga pede experiência concreta com Azure + Databricks/Delta Lake e troubleshooting de Spark/Big Data, e isso não está demonstrado. Há base útil (Python, automação, observabilidade como conceito, otimização de custos por restrições), mas ATS tende a penalizar forte quando o core stack é ausente. Para tornar viável, incluir projeto hands-on em Azure/Databricks (cluster tuning, jobs, Delta, custos) com métricas e incidentes resolvidos. **Strengths:** Python for tooling, Automation and reliability mindset, Cost-optimization orientation **Missing Required:** 1+ year Azure + Databricks optimizing clusters / Delta Lake ecosystem

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Mesma exigência central: Azure + Databricks/Delta Lake com foco em performance/custos e troubleshooting de Big Data, sem evidência no histórico. A base em Python e automação ajuda, mas não substitui experiência direta em Spark/Databricks para o ATS. Para melhorar, adicionar projeto/experiência prática com tuning de clusters, pipelines e incidentes no ecossistema Databricks. **Strengths:** Python for tooling, Automation mindset, Reliability thinking (constraints/controls) **Missing Required:** 1+ year Azure + Databricks optimizing clusters / Delta Lake ecosystem

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] This role is heavily enterprise/regulatory and Azure/Splunk/WebLogic-specific, with platform architecture leadership and on-call/incident ownership at enterprise scale. The resume shows strong general engineering/automation, but not the required Azure enterprise platform toolchain or WebLogic expertise. Improving would require real, demonstrable Azure DevOps + Splunk/OTel + Terraform/Ansible + WebLogic production work, not just resume edits. **Strengths:** Go/Python/Bash automation capability, Security-aware mindset, Systems design thinking **Missing Required:** Deep Azure enterprise platform expertise, Splunk/OTel observability standards ownership, Oracle WebLogic Server expert-level experience, Proven enterprise-grade HA/regulatory platform operations

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Strong match on automation/tooling (Go/Bash), Linux, and building production systems, but the JD is centered on enterprise SRE ops: Kubernetes, Terraform, Vault, Kafka, and mature observability/on-call. The resume doesn’t show hands-on AWS/GCP architecture or incident-response/SLO ownership at scale, which most ATS treat as required for Senior SRE. Improve by adding explicit cloud projects (VPC/LB/DNS/IAM), Terraform modules, Kubernetes operations, and a concrete incident/SLO story with metrics. **Strengths:** go automation/tooling, linux + scripting, sql/postgresql + production deployment experience **Missing Required:** kubernetes (eks), terraform (module design), hashicorp vault/secrets management, kafka operations, aws/gcp deep experience, on-call/incident response ownership, sli/slo/error budget ownership

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] A vaga exige domínio profundo e específico (AWS + EKS/Karpenter/KEDA, Terraform, Helm/ArgoCD, observabilidade Prometheus/OpenTelemetry e DevSecOps), e isso não aparece com evidência prática. O currículo mostra Docker, Linux e automação, mas sem sinal de operação de Kubernetes/AWS em produção no nível pedido. Para melhorar, construir e documentar um projeto em AWS com EKS + Terraform + GitHub Actions + observabilidade e incident playbooks. **Strengths:** Docker and Linux, Automation with Go/Python, Systems design mindset **Critical Gaps:** Deep Kubernetes/EKS + AWS + Terraform expertise required **Missing Required:** Solid AWS experience, Deep EKS/Karpenter/KEDA, Terraform + GitHub Actions CI/CD

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Hard filter: vaga afirmativa para mulheres; o perfil informado não atende ao requisito demográfico. Mesmo com match técnico potencial em automação e sistemas, ATS/recrutamento costuma bloquear antes de avaliação de skills. Direcionar para vagas não-afirmativas equivalentes (SRE/Platform). **Strengths:** Automation and tooling, Linux/Docker fundamentals, Systems thinking **Critical Gaps:** Affirmative role eligibility requirement **Missing Required:** Affirmative (women-only) eligibility

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Há match em Docker, automação, Go/Python/TypeScript e base de CI/CD, com evidência de construção de sistemas em produção. O ATS vai penalizar ausência de prova prática em AWS, Terraform, Kubernetes e Datadog/observabilidade com SLIs/SLOs, que são centrais aqui. Para melhorar, inserir experiência/projeto explícito com IaC (Terraform), K8s, dashboards/alertas e incident response/runbooks. **Strengths:** Docker + Linux, Automation/internal tooling, Systems architecture under constraints **Missing Required:** Infrastructure as Code (Terraform), Cloud experience (AWS), Kubernetes, Observability (Datadog)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] A vaga é Principal/Especialista em SRE/Plataforma com foco em missão crítica (financeiro) e pede experiência sólida comprovada em SRE, incidentes, observabilidade avançada e liderança técnica. O perfil demonstra arquitetura/automação e ponte negócio-técnico, mas sem evidência direta de SRE em produção (on-call, SLIs/SLOs, postmortems) e de escala. Para melhorar, adicionar casos reais de confiabilidade (SLIs, incident reduction, MTTR) e projetos cloud-native/IaC com segurança. **Strengths:** Leadership/ownership, Automation and systems design, Security-conscious engineering **Missing Required:** Solid experience in SRE/Platform Engineering for mission-critical environments

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] A vaga exige AWS/EKS em produção, IaC (CloudFormation/CDK), pipelines (GitHub Actions/CodeBuild) e certificação SA Professional, além de operação/segurança em escala. O perfil tem base forte (Linux, Go, automação, OAuth/OIDC), mas faltam evidências diretas do core cloud stack e do nível senior exigido. Para melhorar, listar projetos reais em AWS com IaC e Kubernetes, e evidência de segurança/observabilidade/incident response. **Strengths:** Linux + automation, Go/Python tooling, OAuth2/OIDC familiarity **Critical Gaps:** Senior AWS/EKS + IaC (CloudFormation/CDK) + SA Pro certification expectations **Missing Required:** Hands-on AWS + EKS, IaC with CloudFormation/CDK, AWS Solutions Architect Professional (or equivalent)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] The resume signals strong automation and systems thinking, but this Platform/DevOps role is AWS-first with ECS and deep Terraform/IaC plus Datadog. “AWS Fundamentals” reads as shallow compared to “deep knowledge of AWS architecture,” and there’s no ECS/Terraform/Datadog proof. Improve by adding a concrete AWS/ECS deployment (Terraform code, networking/IAM, monitoring) with reliability outcomes. **Strengths:** automation tooling mindset, linux + scripting, production deployment ownership **Missing Required:** deep aws services/architecture experience, aws ecs experience, terraform (hands-on)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Hard filter: vaga afirmativa para mulheres; o perfil informado não atende ao requisito demográfico. Mesmo havendo sinais de liderança/automação, o funil bloqueia antes de avaliar. Direcionar para vagas não-afirmativas de liderança SRE/Platform. **Strengths:** Leadership/ownership, Systems thinking, GenAI tooling familiarity **Critical Gaps:** Affirmative role eligibility requirement **Missing Required:** Affirmative (women-only) eligibility

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Há aderência em automação, Docker, Go/Python e mindset de confiabilidade (controles, prevenção de recorrência), mas faltam provas do núcleo SRE: Terraform, Kubernetes com GitOps, observabilidade (Datadog/Grafana/Prometheus) e práticas de segurança/compliance avançadas. O ATS tende a tratar isso como requisitos duros para “Especialista”. Para melhorar, adicionar experiência/projeto com Terraform + K8s + GitOps e evidência de SLIs/SLOs, incident response e hardening. **Strengths:** Automation and internal tooling, Docker + Linux base, Strong reliability-by-design mindset **Missing Required:** SRE/Platform specialist experience, Terraform IaC, Kubernetes with GitOps, Observability stack

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Good overlap on Go, SQL, automation, and recent production shipping, plus stated interest in AI tooling. However, “Principal SRE” expects proven Kubernetes/AWS operation and scale (microservices, high-traffic reliability, capacity planning/benchmarking) that isn’t clearly evidenced. Improve by explicitly documenting production APIs, traffic/load, SLOs, incident learnings, and any AWS/K8s work with measurable outcomes. **Strengths:** golang production systems, sql/postgresql familiarity, ai tooling + automation orientation **Missing Required:** kubernetes in production, aws rds/aurora operational experience, observability (prometheus/grafana/datadog/new relic) in production, principal-level reliability leadership track record (incident + SLO ownership)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Strong match on backend automation in Go/Python, CI/CD, Docker/Linux, and “platform reliability” mindset; this role is closer to platform engineering than pure ops. The main gaps are explicit AWS depth plus Kubernetes/Terraform evidence and real on-call/incident experience. Improve by foregrounding infra automation projects, IaC samples, and a clear reliability/observability story (metrics, alerts, postmortems). **Strengths:** go backend + production shipping, linux + automation, systems design under constraints **Missing Required:** 5+ years professional software engineering experience (ATS title/tenure parsing risk)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] This is an enterprise SRE Tech Leader role with AWS/Kubernetes, Terraform/GitOps, Datadog, compliance, and often certification expectations; the resume doesn’t show hands-on K8s/IaC/Datadog ownership. The candidate’s automation and Go/Python strengths help, but not enough for this maturity/enterprise stack. Improve only if there is real K8s + Terraform + observability leadership experience to add, otherwise it remains a mismatch. **Strengths:** automation + operational rigor, go/python familiarity, ai/automation interest aligns **Missing Required:** deep aws + kubernetes experience, terraform + gitops principles in production, certifications (aws/kubernetes)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Good alignment on Linux, scripting (Go/Python/Bash), automation mindset, and CI/CD familiarity, but the JD expects proven cloud/IaC/Kubernetes production operations. The resume lists Docker and AWS fundamentals but lacks concrete Terraform/K8s/cloud delivery examples and incident/RCA track record. Improve by adding 1–2 real cloud environments managed with IaC, plus monitoring/alerting and incident outcomes. **Strengths:** linux + automation, go tooling + systems thinking, end-to-end deployment ownership on small footprint systems **Missing Required:** proven devops/sre/systems engineer experience (explicit)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] This role is aerospace fuel-system electrical design/certification with regulatory artifacts and specific domain experience; the resume is focused on software/automation and business systems. Required aircraft fuel system design/certification and CREA eligibility are not evidenced. Improve only by targeting software/platform roles; this is a domain switch that ATS will reject. **Strengths:** engineering degree (general), systems thinking (general), english fluency **Critical Gaps:** aerospace fuel systems electrical design/certification domain mismatch **Missing Required:** aircraft fuel systems engineering experience, crea registration/eligibility (not evidenced), transport category airplane certification experience

[ANALYSIS_REPORT] **TOP** [Copilot: GPT5.2] Altíssimo match: automação para eliminar manualidade, integrações via APIs/webhooks, Node/Python/SQL e construção de sistemas internos com evidência recente em produção (plataforma completa, orquestração, CMS). Pontos faltantes são principalmente ferramentas específicas (Appsmith/Retool) e domínio EdTech, que são treináveis e não bloqueiam. Para maximizar ATS, reordenar o CV para “Automation/Systems Engineer” com seção de integrações (pagamentos, CRMs, webhooks), e listar n8n/Make/Zapier e exemplos concretos de fluxos. **Strengths:** API/webhook integrations + automation, Node.js/Python + SQL databases, Proof-of-work shipping internal platforms fast

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Strong signals on Linux and automation mindset, but the JD is specifically about building/operating OpenShift/Kubernetes clusters in production. The resume doesn’t demonstrate OpenShift/K8s cluster administration or 5+ years SRE experience. Improve only if there is real OpenShift/K8s ops work to add (cluster lifecycle, upgrades, troubleshooting, monitoring). **Strengths:** linux + scripting, automation/tooling orientation, production-minded engineering **Missing Required:** 5+ years as site reliability engineer, openshift/kubernetes deep experience