Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Senior React role needs deep React expertise (5+ years); candidate has JavaScript and front-end experience but limited explicit React/TypeScript evidence. ATS will acknowledge front-end exposure but deduct for missing long-term React signals. Candidate’s backend and systems strengths are secondary for this role. **Strengths:** JavaScript fundamentals, Full-stack awareness, CI/CD and testing familiarity

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Senior Data DevOps (AWS) requires Python, AWS data infra (Glue, Redshift), Terraform and Linux — candidate has Python, AWS fundamentals, SQL and Terraform/IaC exposure and strong Linux skills. ATS will reward these cross-cutting skills though may note gaps on specific AWS data services. Overall good fit for cloud data infrastructure. **Strengths:** Python automation, AWS cloud fundamentals, Terraform and IaC knowledge

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Cisco CETO role is broad and values integration, cloud, and some AI/automation exposure; candidate has systems/integration, RAG/LLM signals and enterprise-facing automation experience. ATS will treat the resume positively for integration and cloud skills but may note lack of Salesforce-specific credentials if that path is emphasized in the JD. **Strengths:** Integration & cloud experience, Automation + AI/ML familiarity, Systems thinking and stakeholder translation

[ANALYSIS_REPORT] **LOW** [3-pro] The ATS will match OAuth2, Architecture, and APIs, but will flag the lack of 10+ years of strict 'software engineering' experience and enterprise GCP/AWS architecture. **Strengths:** OAuth2/OIDC, Architecture, API Integration **Critical Gaps:** Missing 10+ years formal software engineering titles **Missing Required:** 10+ anos de experiência em engenharia

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Data Engineer role asks for Python, SQL, Snowflake, AWS and Terraform; candidate has Python, SQL, AWS fundamentals and infrastructure automation experience though Snowflake/Looker specifics are less explicit. ATS will value the data pipeline and ETL signals and cap for missing named BI-tool examples. Good alignment overall. **Strengths:** Python ETL & pipelines, SQL proficiency, AWS + Terraform familiarity

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Red Hat/Openshift role calls for Go, Linux and container/Kubernetes experience; candidate has Go, Linux and container knowledge plus production orchestration experience and open-source affinity. ATS will reward Go + K8s + Linux strongly though OpenShift-specific experience may be slightly under-specified. **Strengths:** Go systems development, Kubernetes/container operations, Linux expertise

[ANALYSIS_REPORT] **LOW** [3-pro] The ATS will reject this profile due to geographic mismatch (job is in Brasília, candidate in SP) and missing required tech stack (Hadoop, Power BI). **Strengths:** SQL **Critical Gaps:** Geographic location mismatch, Missing Hadoop **Missing Required:** Presencial em Brasília, Hadoop

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Senior SW Engineer role requests Golang/Java/C#/MongoDB/AWS/Terraform/Kubernetes; candidate has strong Go, cloud, IaC and system design experience though less explicit Java/C# exposure. ATS will reward Go + infra skills and cap for missing specific language signals. Good alignment with systems/automation expectations. **Strengths:** Golang + system engineering, IaC and Kubernetes experience, Test and CI/CD discipline

[ANALYSIS_REPORT] **LOW** [3-pro] The ATS will find SQL, but will penalize heavily for the absence of Azure Data Factory, DBT, and Snowflake, which are the core requirements of this role. (Duplicate of Job 18). **Strengths:** SQL **Critical Gaps:** Missing core Data Engineering stack (ADF, Snowflake, DBT) **Missing Required:** Azure Data Factory, DBT, Snowflake

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Lead IMS System Programmer (mainframe) repeats mainframe/IMS requirements; candidate lacks mainframe skillset entirely. This is a domain-critical mismatch and ATS will filter aggressively. Not a fit. **Critical Gaps:** Mainframe domain mismatch **Missing Required:** IMS experience

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Big Data Engineer (AWS/Python) fits well with candidate’s Python, SQL and AWS-focused pipeline work; missing explicit Glue/Snowflake depth but overall strong ETL and pipeline signals. ATS will reward Python + AWS + SQL heavily and cap for some named tool gaps. **Strengths:** Python ETL and pipeline design, AWS Lambda/Glue-adjacent experience, SQL query and optimization skills

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Staff Software Engineer role expects strong .NET/C# experience; candidate lacks C# evidence which is a significant required-platform mismatch. ATS will deprioritize resumes missing the core stack. Not a good match. **Strengths:** General systems engineering, Experience with containers and modern RDBMS **Missing Required:** C#/.NET experience

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Senior .NET C# / Node.js Developer requires solid .NET C# experience plus Node.js; candidate has Node.js but lacks C# evidence. ATS will heavily penalize missing C# as a core requirement. Limited overlap beyond Node/Cloud. **Strengths:** Node.js and backend experience, Cloud and SQL familiarity **Missing Required:** C#/.NET professional experience

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate lacks the core NetSuite ecosystem experience required for this role, though he possesses general ERP knowledge from TOTVS. The ATS will penalize heavily for missing the specific NetSuite keyword and 5+ years of associated experience. The enterprise consulting nature of the company ensures strict keyword adherence. **Strengths:** ERP data migration (TOTVS), Supply chain domain knowledge, Advanced English **Critical Gaps:** 0 years of NetSuite experience for a role demanding 5+ years **Missing Required:** NetSuite configuration, NetSuite data migration, Full-scope accounting implementations

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] The candidate strongly matches the Generative AI, LLM orchestration, and Python requirements through recent project work. However, the ATS will heavily deduct for lacking Snowflake/Cortex experience and missing the strict 8+ years of formal AI/ML or Data Engineering job titles. The score is capped due to these missing enterprise requirements. **Strengths:** LLM API integration & orchestration, Python and Go architecture, Agentic orchestration & state machines **Critical Gaps:** Lacks 8+ years of formal experience specifically in AI/ML or Data Engineering titles **Missing Required:** Snowflake, 8+ years AI/ML/Data Science experience

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] ATS detects strong architecture, agentic AI, and prompt engineering skills, but lacks direct React/Next.js and deep TypeScript experience. Candidate demonstrates LLMOps, orchestration, and production deployment, but missing explicit frontend stack and Vercel-specific expertise. Degree and years of experience requirements are met, but critical gaps in frontend tech cap the score. **Strengths:** LLM agent orchestration, prompt engineering, system architecture **Missing Required:** Production React/Next.js, TypeScript (frontend/backend)

[ANALYSIS_REPORT] **TOP** [Copilot: GPT4.1] ATS finds strong match for RAG, Python, system architecture, and production ops. Candidate demonstrates direct experience with RAG, LLMs, Go, Python, and system design, but lacks explicit machine learning framework experience. No critical gaps; missing ML framework is a nice-to-have. **Strengths:** RAG production experience, system architecture, Python

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] ATS sees strong GenAI, prompt engineering, RAG, and LLM integration, but lacks full-stack TypeScript/JavaScript and MCP protocol experience. Candidate meets degree and English requirements, but missing explicit 5+ years as 'Software Engineer' and TypeScript proficiency. ATS caps score due to missing required stack and MCP protocol. **Strengths:** LLM pipeline design, prompt engineering, RAG/embedding systems **Missing Required:** TypeScript/JavaScript (full-stack), MCP protocol

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT4.1] ATS sees strong Python, SQL, cloud, and pipeline experience, but candidate lacks explicit 'Engineer' title and cloud-specific pipeline tools. No critical gaps; missing cloud pipeline tool is a nice-to-have. Recency and hands-on data pipeline work boost score. **Strengths:** Python, SQL, data pipeline design

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] ATS finds direct Go, SQL, Docker, and CI/CD experience, but candidate lacks explicit 'Software Engineer' title and brand-name tech company experience. No critical gaps, but missing required title caps score. Recency and full-stack Go project boost match. **Strengths:** Go production webserver, SQL, Docker **Missing Required:** Software Engineer title

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT4.1] ATS detects strong Python, SQL, AWS, CI/CD, and data pipeline experience, with direct hands-on work in production environments. Candidate lacks explicit Snowflake/Aurora experience but demonstrates transferable skills in SQL databases and cloud ops. Recency and scale of automation projects boost score, but missing Snowflake/Aurora caps at 85. **Strengths:** Python data pipelines, AWS Lambda/Glue, CI/CD

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] ATS sees backend, microservices, API, cloud, Docker, and CI/CD experience, but lacks explicit Azure and conversational AI stack exposure. Candidate meets typed language and cloud familiarity, but missing Azure-specific and conversational AI caps score. Recency and scale of backend projects boost match, but gaps remain. **Strengths:** Backend microservices, API design, cloud ops **Missing Required:** Azure AI stack

[ANALYSIS_REPORT] **LOW** [Copilot: GPT4.1] ATS detects no Clojure or functional programming experience, and lacks lawtech/NLP/ML domain exposure. Candidate demonstrates strong automation and backend skills, but critical gap in required language and domain. Score capped at 40 due to critical gap. **Strengths:** Automation, backend systems, CI/CD **Critical Gaps:** No Clojure experience **Missing Required:** Clojure

[ANALYSIS_REPORT] **LOW** [Copilot: GPT4.1] ATS finds Python, Git, automation, and mechatronics degree, but candidate lacks automotive sector experience and specific HIL tools. Critical gap in automotive protocols and HIL caps score. Recency and automation boost match. **Strengths:** Python, automation, mechatronics degree **Critical Gaps:** automotive sector experience

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT4.1] ATS finds strong Node.js, SQL, Docker, CI/CD, and cloud experience, but candidate lacks explicit TypeScript/NestJS and Kubernetes. No critical gaps; missing TypeScript/NestJS is a nice-to-have. Recency and backend system design boost match. **Strengths:** Node.js, SQL, Docker