[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a Systems Architect specializing in AI and automation, while the job is a Fiscal Analyst role focused on Brazilian tax law and accounting. This is a critical domain mismatch. The candidate's career is progressing towards high-level tech architecture, making this operational tax role a significant and illogical deviation. **⚠️ Critical Gaps:** - Entire domain of Brazilian tax and fiscal operations - Experience with accounting/tax software (Datasul/TOTVS) **✅ Strengths:** - Exceeds English language requirement (Fluent vs. Intermediate) - Strong analytical background - General experience with ERP systems **❌ Missing Required:** Formação Superior em Administração ou contabilidade, Experiência com apuração de impostos, Elaboração e revisão de obrigações acessórias (SPED, REINF)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit for this role. While they possess outstanding domain experience in logistics/supply chain and strong Python skills for automation, there is a critical gap regarding the core responsibility: backend web development with Django. The role requires an expert-level Django developer, and the candidate's profile is explicitly focused on systems architecture and infrastructure, not daily software development within a web framework. **⚠️ Critical Gaps:** - The role is for a Backend Web Developer specializing in the Django framework, whereas the candidate is a Systems Architect who explicitly states they do not focus on daily production software coding. **✅ Strengths:** - Exceptional domain expertise in logistics and supply chain systems, which is a significant plus. - Proven ability to architect and build complex, resilient automated systems from scratch. - Strong, demonstrated Python skills applied to automation, data analysis, and systems logic. **❌ Missing Required:** Django, PostgreSQL (explicitly), Redis, JWTAuthentication / FirebaseAuthentication, 5+ years of experience as a Backend Web Developer

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly accomplished Systems and AI Engineer with a strong background in software, automation, and cloud infrastructure. However, the job is for Civil Engineering roles related to physical highway infrastructure (paving, construction, maintenance). There is a fundamental domain mismatch, making this a poor fit despite the candidate's technical prowess in their own field. **⚠️ Critical Gaps:** - Candidate's experience is in Software/AI/Cloud Infrastructure, while the job requires Civil/Physical Infrastructure (highways, paving, construction). **✅ Strengths:** - Extensive experience in systems automation and process optimization. - Strong project leadership, architecting complex systems from concept to production. - Transferable experience in supply chain analytics and planning, though in a different context. **❌ Missing Required:** Pavimentação, Planejamento e Controle (de Obras), Obras, Projetos (Engenharia Civil), Faixa de Domínio, Conservação (de Rodovias)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate shows strong adjacent skills in AI infrastructure, Python automation, and systems architecture, particularly with self-hosted LLMs. However, there is a critical gap between their infrastructure focus and the job's core requirement for deep, hands-on data science modeling, statistical analysis, and creating computational problems with libraries like scikit-learn and statsmodels. **⚠️ Critical Gaps:** - The role requires creating complex computational data science problems and workflows, while the candidate's experience is in building and automating systems and infrastructure, not in hands-on statistical modeling or data science analysis. **✅ Strengths:** - Direct experience with GenAI (self-hosted LLMs) - Proven ability to build complex, automated systems from scratch (JIT inventory) - Strong proficiency in Python for automation and data manipulation (Pandas) **❌ Missing Required:** Master's or PhD Degree in a quantitative field, 5+ years of hands-on data science experience with proven business impact, Proficiency with core data science Python libraries (scikit-learn, statsmodels, scipy), Deep expertise in statistical analysis and machine learning algorithms

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong Systems Architect and AI Infrastructure engineer but has a critical domain gap for this Frontend Developer role. There is no demonstrated experience in the required core technologies like ReactJS, NextJS, TypeScript, or modern frontend styling, making it a poor fit despite transferable skills in backend and infrastructure. **⚠️ Critical Gaps:** - Frontend Development (candidate is Backend/Infrastructure) - ReactJS / NextJS - JavaScript / TypeScript **✅ Strengths:** - CI/CD Pipeline experience - API integration - Cloud environment knowledge (AWS) **❌ Missing Required:** ReactJS, NextJS, JavaScript (ES6+), TypeScript, HTML5, CSS3, TailwindCSS or Styled Components, SSR and SSG using NextJS

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly skilled Systems Architect and a proven fast learner, with extensive experience in Python, automation, and AI infrastructure. However, the role is explicitly for a Java Developer requiring 5+ years of experience, a core technical domain completely absent from the candidate's profile, leading to a fundamental mismatch despite strong transferable skills. **⚠️ Critical Gaps:** - Java Development (5+ years experience) **✅ Strengths:** - Strong Systems Architecture and Automation expertise. - Proven Fast Learner with a trajectory towards technical/AI roles. - Advanced English proficiency and experience with modern infrastructure tools. **❌ Missing Required:** Java (5+ years), Web application programming (in Java context)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's profile is highly technical, focused on AI infrastructure, systems architecture, and advanced automation, with a strong background in engineering and quantitative finance. This is a significant mismatch for the 'Analista de Faturamento Pleno' role, which requires an educational background in Administration/Accounting and specific operational billing experience. Despite strong transferable skills like English proficiency and a fast-learner bonus, the core requirements of the job are not met by the candidate's experience or formal studies. **⚠️ Critical Gaps:** - Formal education in Administration, Accounting, or directly related fields specific to billing operations. **✅ Strengths:** - C2 Certified/Fluent English proficiency - Demonstrated fast-learning ability and continuous education - Strong technical background in systems architecture and AI infrastructure **❌ Missing Required:** Operational billing experience and skills (e.g., invoice review, backlog reduction, specific control tool updates, AR/AP collaboration).

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents a strong profile in systems architecture, automation, and AI infrastructure, demonstrating a significant 'fast learner' capability. However, there is a critical mismatch with the core requirement of a 'Java Developer' role, as the resume shows no direct experience with Java programming, which is explicitly required for 5+ years. While many skills are transferable, the foundational language requirement is absent. **⚠️ Critical Gaps:** - Java development experience (5+ years) **✅ Strengths:** - Strong system architecture, automation, and AI infrastructure background. - Demonstrated 'Fast Learner' ability with continuous education and rapid skill acquisition. - Proficient in English and general database management (SQL). **❌ Missing Required:** Web application programming (in a Java context), Object-Oriented Programming (in a Java context)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses a strong Mechatronics engineering background and demonstrates exceptional learning agility. However, their professional experience and inferred skills are in AI infrastructure and systems architecture, creating a critical domain mismatch with the job's core requirement of electrical harness design and CATIA V6 expertise. **⚠️ Critical Gaps:** - Electrical Harness Design **✅ Strengths:** - Strong foundational Mechatronics Engineering degree. - Exceptional 'Fast Learner' ability, demonstrated by self-taught AI infrastructure and algorithmic trading. - Proven experience in architecting and deploying complex, production-grade automated systems. **❌ Missing Required:** CATIA V6 expertise, Specific knowledge in critical electrical design points (HCPP, complex branches, fuse boxes, nodes)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents exceptional skills in systems architecture, infrastructure management, and automation, coupled with a strong history of rapid self-learning. However, the primary requirement for this role is hands-on development using the Java ecosystem (Java, Spring Boot, Micronaut), which is not present in the candidate's resume, creating a critical technical gap for this specific product engineering position. While many skills are transferable, the core language mismatch significantly impacts the fit. **⚠️ Critical Gaps:** - Java ecosystem (primary programming language and frameworks for the development role) **✅ Strengths:** - Exceptional architectural and systems design expertise, demonstrated in complex, production-grade projects. - Proven ability to learn and implement new, complex technologies rapidly (AI infrastructure, algorithmic trading). - Extensive hands-on experience with infrastructure as code (Terraform), containerization (Docker), and CI/CD pipelines. **❌ Missing Required:** Kubernetes (EKS), Specific AWS Services (EC2, S3, SQS, SNS, CloudFront, ELB), Authentication/Authorization mechanisms (JWT, OAuth2, Basic Auth), Database Modeling and Optimization, API First (Swagger/OpenAPI)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's extensive background in systems architecture, AI infrastructure, and automation diverges significantly from the operational finance focus of a Treasury Analyst role. While strong in general analytical skills and possessing prior finance experience, critical gaps exist in specific treasury functions, SOX compliance, and direct experience with treasury management systems. **⚠️ Critical Gaps:** - Primary career focus as an AI Infrastructure Strategist/Systems Architect, not operational finance/treasury. **✅ Strengths:** - Strong analytical and problem-solving skills - Proven ability to quickly learn and implement complex technical domains (Fast Learner) - Fluent English language proficiency (C2 Certified) **❌ Missing Required:** Basic understanding of SOX compliance and internal controls, Proficiency in Microsoft Office Suite, particularly Excel

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong skills in general systems architecture, CI/CD, automation, and leadership, with an impressive fast-learner trajectory. However, the core requirement for Salesforce-specific development (Apex, LWC, Visualforce, SOQL/SOSL) is entirely absent, representing a critical domain mismatch. While many general engineering skills are present, they do not directly transfer to the specialized Salesforce ecosystem required for this role. **⚠️ Critical Gaps:** - Salesforce Development Ecosystem (Apex, Lightning Web Components, Visualforce, SOQL/SOSL, Aura, Salesforce Data APIs, Salesforce Security/Sharing Model, Salesforce Integration Patterns, Salesforce Governor Limits & Performance Tuning, Salesforce CI/CD tools, Salesforce Testing Frameworks, Salesforce Code Quality Tools) **✅ Strengths:** - Exceptional fast-learner and self-taught in complex technical domains. - Strong general CI/CD, automation, and systems architecture experience. - Proven ability to build and deploy complex production systems from concept to execution. **❌ Missing Required:** Specific Middleware (MuleSoft/Boomi/Informatica)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong engineering and automation skills, particularly in AI infrastructure and Python development, and is a proven fast learner with fluent English. However, there's a significant mismatch with the core requirements of a QA/Test Engineer role, lacking direct experience in software testing methodologies (manual, functional, regression) and specific tools like Azure DevOps Test Plans. The career trajectory also indicates a pivot away from their established technical specialization. **⚠️ Critical Gaps:** - 5+ anos de experiência em testes de software - Forte experiência em testes manuais - Vivência com Azure DevOps (Test Plans) **✅ Strengths:** - Exceptional fast learner with strong self-teaching capabilities (AI infrastructure, algorithmic trading, continuous education) - Strong automation and CI/CD background (Python, shell scripting) - Fluent English (C2 certified) **❌ Missing Required:** 5+ anos de experiência em testes de software, Forte experiência em testes manuais, Vivência com Azure DevOps (Test Plans), Experiência em projetos globais

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's profile as an AI Infrastructure Strategist and Systems Architect is a significant mismatch for a Junior Electrical Engineer role focused on public lighting verification. There is a critical gap in the required Electrical Engineering degree, and several fundamental practical requirements for the field position are missing from the resume. **⚠️ Critical Gaps:** - Required Electrical Engineering degree for junior specialist role **✅ Strengths:** - Strong background in systems architecture and automation - Proven fast learner with a self-teaching track record - Proficiency in data analysis and reporting tools (inferred) **❌ Missing Required:** Own vehicle and availability for travel within the municipality, Availability for nocturnal measurements, CNH category A/B

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly skilled modern systems architect and AI infrastructure specialist with strong analytical abilities and past finance domain experience. However, there is a fundamental and critical gap in the required COBOL and mainframe development skills, which are central to this role, leading to a significant mismatch. **⚠️ Critical Gaps:** - Mainframe development (COBOL, JCL, CICS, DB2) **✅ Strengths:** - Strong problem-solving and analytical capabilities evidenced by complex system builds (JIT, AI clusters, trading bots). - Proven 'Fast Learner' with a track record of self-teaching and mastering new, complex domains. - Relevant transferable domain experience in the financial sector (from 2018-2019). **❌ Missing Required:** COBOL, JCL, CICS, DB2, Mainframe experience

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong capabilities in general systems architecture, automation, and AI infrastructure. However, they critically lack direct experience (5+ years) with the specified mobile test automation frameworks (Appium, WebdriverIO, TypeScript) and specific mobile application architecture knowledge required for this role. Their expertise lies in a different domain than mobile quality assurance. **⚠️ Critical Gaps:** - Mobile Test Automation (Appium, WebdriverIO, TypeScript for 5+ years) - Mobile App Architecture specific knowledge - Mobile Testing Environment (emulators/simulators, device farms, app builds, debugging) - Quality Assurance mindset/experience **✅ Strengths:** - Strong English communication (C2 Certified) - Hands-on experience integrating automation into CI pipelines (general) - Proven fast learner with a strong background in architecting complex systems and infrastructure **❌ Missing Required:** 5+ years experience on the frameworks Appium and WebdriverIO and language TypeScript, Experience building and maintaining test automation frameworks, Strong experience with Appium for native iOS and Android apps, Understanding of mobile app architecture (views, navigation, async flows, network calls, permissions, deep links, etc.), Comfortable dealing with emulators/simulators, device farms, app builds, and basic mobile debugging, Experience testing REST/GraphQL APIs: auth, error handling, contracts, schema validation, Ability to design end-to-end flows that stitch backend + mobile behavior (mobile aspect)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate exhibits strong capabilities in AI infrastructure, Python automation, and data management, demonstrating a 'fast learner' profile and progressive career trajectory. However, there is a critical and fundamental absence of direct or inferable experience with the core Microsoft Power Platform ecosystem, including Power BI, Power Apps, Copilot Studio, and SharePoint, which are primary requirements for this role. **⚠️ Critical Gaps:** - Microsoft Power Platform ecosystem (Power BI, Power Apps, Copilot Studio, SharePoint) **✅ Strengths:** - Strong experience in Python-based automation and data management. - Proven ability to build and deploy complex systems from concept to production (AI clusters, JIT inventory). - Demonstrated 'fast learner' and a clear, intentional career progression towards technical and AI-centric roles. **❌ Missing Required:** Power BI, Power Apps, Power Platform, Copilot Studio, SharePoint, Didactics

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents strong foundational skills in system architecture, automation, Python-driven data processing, and general cloud infrastructure. However, the application has significant gaps in specific Azure data analytical platforms like Databricks, Data Lake Storage Gen2, and Azure IAM, which are explicitly required. Their proven rapid learning ability and relevant domain experience in complex systems partially offset these specific technology stack differences. **✅ Strengths:** - Extensive Python proficiency applied to automation, data processing, and system building. - Proven track record in architecting and deploying resilient, automated systems and infrastructure. - Exceptional self-learning capability and progressive career trajectory towards technical and AI roles. **❌ Missing Required:** Azure Databricks (platform usage, configuration, Unity Catalog, External Locations), Azure Data Lake Storage Gen2, Azure IAM / Entra ID (enterprise applications, registered applications, service principals, user groups, basic IAM concepts), Cloud analytical platforms (specific Azure ones)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong match for the Data Engineer role, demonstrating extensive experience in AI infrastructure, LLMs, and automated data systems. Their 'Fast Learner' profile and transferable domain knowledge further enhance their suitability, despite specific tool mismatches for Databricks and LangChain. **✅ Strengths:** - Strong experience in AI infrastructure and LLMs (GenAI, RAG, AI Agents, Prompt Engineering). - Proven track record in building automated systems and data pipelines (Data Engineering, Python, Automation). - Solid foundational skills in Infrastructure as Code (Terraform, AWS) and a 'Fast Learner' aptitude for new technologies. **❌ Missing Required:** Databricks, LangChain

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for this research study, possessing direct experience with cloud computing and security solutions. As a founder, they have clear purchase influence and management responsibilities over relevant systems, fulfilling all key requirements for the study. **✅ Strengths:** - Direct and recent experience with cloud infrastructure and security solutions (e.g., AWS Basics, SSO, LLM privacy). - Proven purchase influence and management of IT/operational systems, notably as the founder of an e-commerce business. - Exceptional 'fast learner' profile demonstrated by self-taught AI, algorithmic trading, and continuous education, aligning with emerging tech focus.

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] The candidate has strong technical foundation and systems thinking from Supply Chain/Automation background, but lacks the critical enterprise systems experience (SAP, Oracle EBS, ERP) and IT service management expertise required for this Systems Coordinator role. The position requires proven leadership of technical teams and deep experience with corporate critical systems, which the candidate does not demonstrate. However, the candidate's systems architecture mindset, automation experience, and quick learning ability provide some transferable foundation. **⚠️ Critical Gaps:** - No proven experience leading technical IT teams (BLOCKING - core requirement) - No hands-on experience with enterprise ERP systems like SAP or Oracle EBS (BLOCKING - explicitly required) - No background in IT service management or support functions (BLOCKING - core function) - No experience with IT vendor/supplier contract management (BLOCKING - listed responsibility) **✅ Strengths:** - Strong systems thinking and end-to-end architecture design from e-commerce automation project - Proven ability to rapidly learn and implement new technologies (self-hosted LLMs, AI infrastructure) - Solid foundation in process optimization, automation, and operational efficiency from Supply Chain background **❌ Missing Required:** SAP or Oracle EBS experience, Proven technical team leadership, IT systems support/maintenance experience, E-commerce platform administration, IT governance and information security policies knowledge, ITIL or IT service management frameworks, IT contract management and vendor negotiation, Budget control for IT departments

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong alignment on supply chain fundamentals, project management capability, and business-technical bridge role. Candidate has proven supply chain experience (Pronutri, Electrolux), MITx Supply Chain certification, and demonstrated ability to architect complex systems independently. However, this is a consulting-heavy role requiring client acquisition, team leadership, and frequent travel - areas where the candidate's recent focus has been on self-employed technical builds rather than consulting delivery. The technical and supply chain foundation is solid, but the sales/consulting execution experience needs development. **✅ Strengths:** - Supply Chain Management foundation: Formal education (MITx MicroMasters), hands-on experience (Procurement, Production Planning at Pronutri/Electrolux), and proven JIT system architecture - Technical-Business Bridge: Unique combination of supply chain operations, financial analysis, and systems architecture - exactly the profile for translating client needs into technical solutions - System Design & Delivery: Demonstrated ability to independently architect and deploy production-grade automated systems (e-commerce JIT achieving >95% efficiency), showing strong project execution capability **❌ Missing Required:** Proven track record of delivering complex consulting projects, Experience leading cross-functional teams (people management), Client acquisition and business development experience, Transportation/logistics consulting background

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] This is a fundamental domain mismatch. The role requires 5+ years of Unity/C# game development with shipped mobile applications. The candidate is a Solutions Architect/Systems Engineer with Python automation background, zero Unity experience, no C# expertise, no game development history, and no mobile app deployment track record. While the candidate demonstrates strong learning ability and systems thinking, the gap between infrastructure/automation engineering and professional game development is too significant for this senior-level position requiring immediate production contribution. **⚠️ Critical Gaps:** - Unity Engine - BLOCKING (Required: Expert with 5+ years, Found: None) - C# Programming - BLOCKING (Required: Expert-level, Found: None) - Game Development Experience - BLOCKING (Required: 5+ years professional, Found: None) - Mobile App Deployment - BLOCKING (Required: Proven App Store/Play Store deployments, Found: None) - 3D Math & Game Physics - BLOCKING (Required: Strong foundation, Found: Not demonstrated) **✅ Strengths:** - Strong systems architecture thinking and automation mindset - Proven ability to learn and master new technical domains independently - RESTful API integration experience could transfer to game backend work **❌ Missing Required:** 5+ years professional game/interactive app development, Expert-level C# proficiency, Unity 2020/2021+ suite expertise, Deployed applications to App Store or Google Play, 3D mathematics foundation, Game physics knowledge, Object-oriented game programming patterns, Bachelor's in Computer Science or Games Technology (has Mechatronics)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong systems architecture and implementation background with proven ability to deliver end-to-end solutions. The candidate demonstrates the 'Bridge' skillset Hexagon needs - connecting business needs to technical execution. However, lacks domain-specific knowledge of Hexagon's Smart® product suite and Oracle/MSSQL DBA experience. The candidate's supply chain analytics, ERP integration experience (TOTVS, SAP), and automation expertise align well with implementation analyst responsibilities. Age 33 with demonstrated 'Builder' mentality and fast-learning capability makes missing technical tools learnable within 3-6 months. **✅ Strengths:** - Proven Implementation & Automation Expert: Built production-grade automated systems from scratch (JIT inventory with 95%+ in-stock rate). Directly matches 'implementation of projects and solutions' requirement. - Business-to-Technical Bridge: 10+ years translating business needs (supply chain, finance) into technical architecture - exactly what 'creative solutions to customer application needs' demands. - Systems Integration & Documentation: Demonstrated ability to integrate complex systems (APIs, ERP, warehouse management) with strong analytical and documentation skills from engineering background. **❌ Missing Required:** Intergraph Smart® 3D (core product knowledge)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Strong supply chain, data-driven automation, and end-to-end delivery align well; gaps are Amazon-specific mechanisms and advanced Excel depth. **✅ Strengths:** - Supply Chain Analytics and JIT Systems - Python Automation and Data Pipelines - End-to-End Systems Architecture

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Strong track record in process optimization and end-to-end delivery aligns with internal consulting; lacks explicit formal project-methodology credentials and franchising exposure but shows fast-learner capacity from complex systems built. **✅ Strengths:** - Process automation and optimization - Supply chain/ERP improvement experience - Ability to architect and scale complex systems **❌ Missing Required:** Agile/Scrum, PMBOK, BPM/BPMN

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Strong Python, systems architecture, and business-tech bridge; gaps in AWS analytics stack, dashboards, and formal data governance; leadership and fast-learning mitigate. **⚠️ Critical Gaps:** - AWS Glue/Athena/QuickSight/Redshift (production experience) - Enterprise data governance standards - Dashboarding/BI for executive indicators **✅ Strengths:** - Python automation and data tooling - Systems architecture bridging business and technology - Ownership and delivery of production-grade systems **❌ Missing Required:** AWS Glue/Athena/Redshift/QuickSight familiarity, Dashboarding (BI/QuickSight), Data governance and versioning in analytics pipelines

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5] Strong in Docker, Terraform, and Python automation, but missing cloud (Azure/Oracle) and Kubernetes stack plus monitoring/DevSecOps tools required for the role. **⚠️ Critical Gaps:** - Azure - Oracle Cloud (OCI) - Kubernetes **✅ Strengths:** - Docker - Terraform - Python/Shell automation **❌ Missing Required:** Azure, Oracle Cloud (OCI), Kubernetes, Helm, Ingress, AKS, OKE, Ansible, GitHub Actions, Azure DevOps, Datadog, DevSecOps, PowerShell, Agile/Scrum

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Experiência forte em integração/automação e arquitetura end‑to‑end cobre API/SFTP, análise de dados e documentação; faltam menções explícitas a Excel intermediário e configurações TEM‑específicas. **✅ Strengths:** - Integração e automação com Python - Arquitetura de sistemas fim-a-fim - Aprendizagem rápida e execução independente **❌ Missing Required:** Excel (intermediário), Gestão de credenciais SFTP

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5] Strong systems/automation and leadership, but lacks core senior data engineering stack (Denodo, Teradata, Databricks) and advanced SQL/data modeling; fast learner potential mitigates some risk. **⚠️ Critical Gaps:** - Denodo - Teradata - Databricks **✅ Strengths:** - Python automation and building production-grade systems - Infrastructure skills (Docker/Terraform) and architecture mindset - Leadership and end-to-end ownership **❌ Missing Required:** Advanced SQL optimization, Data Modeling (Dimensional/Kimball), Denodo, Teradata, Databricks

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5] Strong systems/security-adjacent background and leadership, but lacks core app-security experience and required PHP/JavaScript proficiency for a senior security engineering role. **⚠️ Critical Gaps:** - PHP proficiency - JavaScript proficiency - Application security engineering (OWASP, threat modeling) **✅ Strengths:** - Identity & access management (SSO/RBAC) - Systems architecture & automation - CI/CD and infrastructure (Docker/Terraform/AWS basics) **❌ Missing Required:** PHP (proficiency), JavaScript (proficiency), Threat modeling, Application-level vulnerabilities (OWASP), Secure coding practices for web platforms

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Strong Python, infra, and end-to-end system design; lacks core backend stack experience (FastAPI/Pydantic, Postgres) and event/messaging, but fast-learning profile suggests quick ramp-up. **⚠️ Critical Gaps:** - FastAPI/Pydantic for production backend services - Event-driven messaging (Kafka/RabbitMQ/SQS) - Postgres usage at scale **✅ Strengths:** - Python + automation across production systems - Infra foundations (Docker/Terraform/CI/CD) - End-to-end architecture and delivery

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Strong operations and data automation background aligns with import/export and process rigor; lacks explicit access management and stated Excel skill but likely a fast learner with applicable ERP/automation experience. **✅ Strengths:** - Automação e pipelines em Python para rotinas operacionais - Experiência com ERP/Supply Chain e controle de dados - Execução de sistemas end‑to‑end com foco em processos e precisão **❌ Missing Required:** Gestão de Acessos/IAM

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Strong systems/integration, security, and analytics background with bilingual fluency; lacks direct volunteer platform (Rosterfy), BI tooling, UAT, and large-scale event ops experience but has fast-learner potential. **⚠️ Critical Gaps:** - Large-scale volunteer/sport event programme operations - Rosterfy (or equivalent volunteer platform) administration **✅ Strengths:** - Systems integration & automation (Python/APIs) - Security/Identity (SSO, RBAC) - Bilingual English/Portuguese with stakeholder coordination **❌ Missing Required:** UAT/Test management proficiency, Data visualization/BI tool proficiency (e.g., Power BI/Tableau), Data protection standards (GDPR/PII) compliance practices, Training delivery / Train-the-Trainer capability

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a strong technical architect with an exceptional ability to translate business requirements into production-ready systems. However, the role is fundamentally a Project/Delivery Manager, requiring formal experience in methodologies like Scrum, PMBOK, and SAFe, which the candidate does not demonstrate. **⚠️ Critical Gaps:** - The core responsibility is managing projects with formal methodologies (Scrum, PMBOK, SAFe), which is entirely missing from the candidate's experience. **✅ Strengths:** - Exceptional technical background, far exceeding typical PM roles - Proven ability to act as the 'bridge' between business goals and technical execution - Demonstrated experience architecting, building, and deploying entire systems from concept to production **❌ Missing Required:** Experience with title/role of Project Manager, Delivery Manager, or Scrum Master, Experience leading projects using formal agile or traditional frameworks, Experience in high-compliance environments

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong fit. He demonstrates deep, hands-on experience in architecting and deploying complex, automated systems from the ground up, mirroring the core responsibilities of process architecture and technical project management. His career shows a deliberate progression from business domains (Finance, Supply Chain) into systems architecture and AI, proving he can bridge the gap between business objectives (ROI) and technical implementation, which is central to this role. **✅ Strengths:** - Proven end-to-end system architecture and deployment (JIT System, LLM Clusters) - Strong data fluency and automation skills (Python, Pandas, APIs) - Deep business acumen with a demonstrated focus on ROI and operational efficiency

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong technical architect and systems builder, but the role requires a formal Project Manager focused on PMI practices, team leadership, and stakeholder communication. There is a critical mismatch between the candidate's deep hands-on technical experience and the job's process-oriented, people-management responsibilities. **⚠️ Critical Gaps:** - Project Management vs. Systems Architecture **✅ Strengths:** - Deep technical expertise for system estimation - Proven ability to deliver complex projects end-to-end (autonomously) - Strong analytical and problem-solving skills **❌ Missing Required:** Seleção e Avaliação de Pessoal para compor a equipes de projetos, Elaboração de Propostas, Liderança e habilidade na administração de conflitos (in a team context), Planejamento e Programação de Projeto (formal/PMI)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is technically capable but significantly overqualified, and their career trajectory is moving towards high-level architecture and AI, not operations. While experience building automated systems infers strong skills in monitoring and incident management, they lack explicit experience in formal reporting processes. The role is a poor fit for their seniority and ambitions. **✅ Strengths:** - Deep expertise in systems automation and resilience - Proven ability to manage business-critical production systems - Architect-level understanding of system dependencies **❌ Missing Required:** Incident Reporting methodologies and processes

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems thinker with some adjacent infrastructure skills (AWS, Docker). However, there is a critical gap between their Python/Infrastructure background and the job's requirement for hands-on JavaScript/TypeScript/Vue.js support and development. The seniority and career trajectory also appear misaligned with a junior-level support role. **⚠️ Critical Gaps:** - The role requires hands-on coding and debugging in a JavaScript/TypeScript/Vue.js environment, a domain where the candidate has no listed experience. **✅ Strengths:** - Deep experience in systems architecture and automation - Proven ability to self-teach complex technical domains - Adjacent infrastructure skills (Docker, AWS) **❌ Missing Required:** Fundamental understanding of JavaScript/TypeScript, Experience with browser developer tools for debugging

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong fit. His demonstrated experience architecting and implementing a fully automated logistics (JIT) system using Python and APIs directly maps to the core responsibilities of process mapping and software implementation. The career trajectory from Supply Chain to Systems Architecture shows a deliberate and successful progression toward this exact type of technical-functional role. **✅ Strengths:** - Deep practical experience in logistics and supply chain systems (JIT) - Proven ability to architect and build automated systems from concept to production - Strong technical skills in Python, APIs, and infrastructure (Docker) **❌ Missing Required:** Conhecimento em ferramentas de modelagem simples (Miro, Draw.io ou Visio)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Candidate demonstrates strong Python automation skills, system architecture experience, and proven ability to build production systems. However, lacks direct experience with API Gateway platforms, JavaScript development, and microservices implementation. The role requires hands-on API development and Gateway operation experience which the candidate hasn't explicitly demonstrated. Age (33) and 'fast learner' profile with complex system-building background provides upside potential. **⚠️ Critical Gaps:** - No demonstrated JavaScript development experience - role requires 'vivência em desenvolvimento' (development experience) in JS for gateway customization - No explicit API Gateway operational experience - core responsibility is 'monitorar, operar e prestar suporte ao Gateway de APIs' - Limited evidence of microservices/RESTful API implementation **✅ Strengths:** - Strong Python automation and scripting - directly applicable to API development - Proven system architecture skills with production-grade implementations - Self-directed learner with demonstrated ability to master emerging technologies (self-hosted LLMs, cloud infrastructure) **❌ Missing Required:** FastAPI experience, JavaScript for gateway configuration/customization, API Gateway operational experience, Microservices with RESTful pattern implementation, JWT authorization implementation, Logging/observability/monitoring tools, API testing tools (Postman), Relational database access/permission analysis

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Candidate has strong technical foundation in automation, systems architecture, and engineering background (Mechatronics). However, lacks critical Oil & Gas industry experience (0 vs required 3+ years) and domain-specific tools (Veerum, Zynq, VAMS, 3D scanning, laser scanning). The role requires operational site experience in industrial environments, which candidate's e-commerce and crypto trading background doesn't provide. Strong transferable skills in Python automation, system integration, and project coordination exist, but the 3-year O&G requirement and industry-specific tooling create significant barriers. **⚠️ Critical Gaps:** - Zero Oil & Gas operational site experience (3+ years explicitly required) - No experience with Digital Reality Ecosystem (DRE) tools - No industrial plant/facility engineering background **✅ Strengths:** - Strong Python automation and system integration skills directly applicable to data mapping and integration workflows - Proven ability to build end-to-end production systems from concept to execution (JIT inventory system mirrors rollout coordination needs) - Bilingual Portuguese/English fluency meets communication requirement, with demonstrated business-technical translation ability **❌ Missing Required:** 3+ years Oil & Gas industry experience, Operational site or similar industrial environment experience, Digital Twin software familiarity, 3D scanning/laser scanning tools, Reality capture coordination experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong analytical foundation with proven systems architecture, automation, and strategic planning experience. The candidate demonstrates transferable core competencies in project execution, financial modeling mindset (from trading/risk management), and supply chain optimization that align well with the PMO/strategic project role. However, lacks formal PMO certification, Power BI expertise, and direct agribusiness/biotech domain experience. The '33yo system builder' profile shows adaptability and fast-learning potential that compensates for specific tool gaps. **✅ Strengths:** - End-to-end system architecture with 95%+ operational success rates demonstrates project execution excellence - Strong financial/analytical background (trading, risk analysis, supply chain modeling) directly applicable to financial projections and feasibility studies - Proven ability to translate strategic vision into automated operational systems, matching the role's need to convert strategy into practical initiatives **❌ Missing Required:** Power BI proficiency, Formal PMO/Project Management methodology training, Advanced Excel with financial modeling templates

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] The candidate shows exceptional foundational knowledge in AI infrastructure, automation, and systems architecture, which are core to the role's responsibilities. While lacking direct experience with the Microsoft 365 Copilot tool itself, their demonstrated ability to self-host LLMs and build complex automated systems from scratch strongly suggests they can master the required technology quickly. The career trajectory from business to deep tech makes them ideal for bridging business needs and AI solutions. **✅ Strengths:** - Deep, hands-on understanding of AI infrastructure principles - Proven ability to build production-grade automation systems - Strong problem-solver with a track record of self-learning complex technologies **❌ Missing Required:** Conhecimento prático do Microsoft 365 Copilot e Agente Copilot, Experiência com administração do Microsoft 365 e Azure Active Directory

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly capable systems architect and Python automation expert but demonstrates a critical and complete gap in the core Microsoft Power Platform technologies required for this role. Their experience is in custom-coded, infrastructure-level automation, whereas this job is centered entirely on the Power Automate and Power BI low-code ecosystem. The skills are not transferable, making it a poor fit despite strong foundational logic and a proven fast-learner track record. **⚠️ Critical Gaps:** - Power Automate (Cloud & Desktop/RPA) - Power BI / Data Visualization **✅ Strengths:** - Python Automation & Scripting - Systems Architecture Design - Algorithmic & Logical Problem Solving **❌ Missing Required:** Power Automate, Power BI, Microsoft 365 connector experience (SharePoint, Teams, Dynamics), Power Automate Desktop (RPA)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is disqualified as they do not meet the mandatory Spanish language requirement. Additionally, there is a critical domain mismatch; the role is for a Project Management Officer (PMO) focused on coordination and reporting, while the candidate's profile is deeply technical, centered on hands-on systems architecture and engineering. **⚠️ Critical Gaps:** - Project Management (PMO) vs. Technical Architecture/Engineering - Mandatory Spanish language proficiency **✅ Strengths:** - Profundo conhecimento técnico em arquitetura de sistemas - Experiência em automação e integração de APIs - Português fluente (listado como diferencial) **❌ Missing Required:** Experiência comprovada em gestão de projetos complexos, Fluência em espanhol, Conhecimento dos processos de folha de pagamento em Peru, Colômbia e/ou Equador

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong Systems Architect and Python developer with proven success in building automated infrastructure. However, there is a critical and complete mismatch with the core requirements of the role, which demands a Senior Java and Salesforce developer. The candidate has no demonstrated experience in Java, its frameworks (Spring, Hibernate), or any Salesforce technologies. **⚠️ Critical Gaps:** - Java Development Ecosystem (Java, Spring, Hibernate) - Salesforce Platform (OmniStudio, BRE, OM) **✅ Strengths:** - Proven system-building capability (Automated JIT, Self-hosted LLMs) - Expertise in automation (Python, Shell Scripting) - Infrastructure as Code (Terraform, Docker) **❌ Missing Required:** Java 8/11+, Spring Framework, Salesforce OmniStudio, Relational/Non-relational databases (PostgreSQL, MySQL), Deep AWS service experience (EC2, S3, Lambda, RDS, etc.)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is an exceptionally strong systems architect and infrastructure engineer with demonstrated, hands-on experience in Docker, Terraform, CI/CD, and AWS fundamentals. However, this is a Senior Java Developer role, and the candidate has a critical gap, showing no experience with Java or the Spring Boot framework, which are the primary requirements. **⚠️ Critical Gaps:** - Java (Required) - Spring Boot (Required) **✅ Strengths:** - Infrastructure as Code (Terraform, Docker, Kubernetes) - CI/CD Pipeline Expertise - Proven Fast Learner (Self-hosted AI, Algorithmic Trading) **❌ Missing Required:** Kafka, Testes Unitários (JUnit, Mockito), Deep Cloud Experience (AWS Lambda, SQS, SNS)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong AI Infrastructure and Systems Architect, but has zero demonstrated experience in the required domain of iOS/macOS development using Swift. This represents a critical and fundamental skills gap for a role centered on mobile application engineering. **⚠️ Critical Gaps:** - iOS/macOS development experience - Swift language proficiency - Mobile UI testing frameworks **✅ Strengths:** - AI/ML infrastructure knowledge - Proven fast learner across multiple technical domains - Strong backend and automation skills **❌ Missing Required:** 3+ years of professional iOS/macOS development experience, Hands-on experience with testing frameworks (XCTest, Quick/Nimble), Proficiency with Xcode, Swift Package Manager, Experience with App Store deployment and monitoring tools

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is a poor fit due to a fundamental mismatch in core technologies. The role requires C# and React.js, whereas the candidate's expertise is exclusively in Python, systems architecture, and AI infrastructure. Furthermore, the job has a hard requirement for 4 days/week in São Paulo, which is a geographic disqualifier. **⚠️ Critical Gaps:** - The role is for a C# developer, and the candidate's entire backend experience is in Python. - The role requires a React.js frontend developer, and the candidate has no demonstrated frontend experience. **✅ Strengths:** - Proven ability to architect and deploy complex, automated systems from the ground up (JIT inventory). - Deep expertise in Python for automation, data analysis, and algorithmic logic. - Strong domain knowledge in supply chain, logistics, and financial systems. **❌ Missing Required:** C#, React.js, Vivência com principais serviços AWS, Azure DevOps