[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong infrastructure, DevOps and SSO fundamentals (OIDC/SAML, RBAC, CI/CD, Docker/Terraform) and proven systems-architecture experience show high ramp potential, but the role requires multi-year, hands-on experience with Ping/ForgeRock products and directory/SCIM expertise which are missing. **⚠️ Critical Gaps:** - Hands-on Ping/ForgeRock product experience (PingAM, PingGateway, PingDS, PingIDM) - Directory services/LDAP administration and schema management - SCIM and enterprise identity provisioning (IGA) / PAM experience **✅ Strengths:** - Solid SSO and identity concepts (OIDC/SAML, RBAC) - Hands-on infrastructure + DevOps (Docker, Terraform, CI/CD, Linux) - Systems architect who builds end-to-end production automation and self-hosted clusters **❌ Missing Required:** PingAM / PingGateway / PingDS / PingIDM (3+ years hands-on required by JD), SCIM (not present on resume), JavaScript (explicitly requested)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents strong foundational engineering skills in Python and SQL, with a proven track record of building automated, data-driven systems. While lacking direct experience with specific big data frameworks (Spark/Hadoop) and dedicated data workflow orchestrators (Airflow/Luigi), their fast learning ability and project-based experience suggest high potential for quickly acquiring these skills. **✅ Strengths:** - Strong Python and SQL expertise with demonstrated application in building production systems. - Proven ability to build complex, automated, data-driven systems from scratch (JIT inventory, trading bots). - Fast learner with an intentional career progression towards technical and AI roles. **❌ Missing Required:** Vivência com ferramentas e frameworks como Spark, Hadoop ou similares, Experiência prática na estruturação e modelagem de dados para Power BI, Experiência com ferramentas de orquestração de workflows (Airflow, Luigi ou similares)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents strong architectural and system design capabilities, with a proven track record of building complex, production-grade solutions using Python, Docker, and CI/CD. However, significant gaps exist in specific required technologies like advanced Golang/Typescript, Event Streaming (Kafka), and Monitoring/Observability tools. The candidate's exceptional learning ability and progressive career trajectory offer high potential to bridge these technical gaps with targeted investment. **⚠️ Critical Gaps:** - Advanced Golang or Typescript development **✅ Strengths:** - Exceptional architectural and system design experience (e.g., 'Arquiteto de Soluções', 'Clean Architecture') - Proven ability to build and deploy complex, automated, production-grade systems (JIT, LLM clusters, trading bots) - Strong 'Fast Learner' profile with continuous technical development and intentional career progression **❌ Missing Required:** Event Streaming (Kafka), Monitoring & Observability tools, Agile methodologies

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems architecture, automation and project delivery background with Microsoft Office, stakeholder experience and infrastructure skills; however the resume lacks explicit SAP project experience and common SAP project tools which are central to this role. Fast-learner signal (self-hosted LLMs, founder, complex JIT systems) raises confidence the candidate can ramp quickly on missing items. **⚠️ Critical Gaps:** - SAP (ECC / S/4HANA) project experience - SAP Solution Manager **✅ Strengths:** - Systems architecture and infrastructure (esp. local AI clusters) - Automation and engineering delivery (Python, CI/CD, scripting) - Domain expertise in Supply Chain / JIT and analytical problem solving **❌ Missing Required:** SAP project experience (ECC / S/4HANA), SAP Solution Manager, MS Project, Jira, Confluence

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptional match for the role, demonstrating extensive hands-on experience in all required data engineering, AI infrastructure, and security domains. Their proven track record in architecting and deploying complex, automated systems, including self-hosted AI clusters and JIT inventory, directly aligns with the job's demands for designing and building robust data pipelines. The strong emphasis on Python, SQL, containerization, and data privacy reinforces their suitability. **✅ Strengths:** - Exceptional expertise in AI infrastructure and data engineering, with demonstrated experience in building and optimizing production-grade systems. - Strong technical proficiency in Python, SQL, Docker, Terraform, and advanced data security practices (SSO, RBAC, privacy-first AI). - Strategic 'metal-up' architect with a clear career progression towards technical/AI roles, proving high adaptability and learning capability.

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong match for the SRE role, demonstrating extensive experience in infrastructure, automation, and system design, closely aligning with core SRE principles. While there are specific tool and language gaps, significant inferred skills and a strong career trajectory mitigate these, showcasing high adaptability and a fast-learning aptitude crucial for SRE. **✅ Strengths:** - Extensive experience in infrastructure automation and system design using Python, Docker, and Terraform. - Proven ability to build and manage complex, self-sustaining systems from scratch (JIT inventory, LLM clusters). - Strong problem-solving skills, fast learner with a clear career trajectory towards technical and AI infrastructure roles. **❌ Missing Required:** Kubernetes

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong match on systems architecture, hands‑on infra (Docker/Terraform/Linux), API integrations and vendor/procurement experience; lacks explicit formal IT governance/SLAs and specific integrations (HubSpot, payment gateways). Fast‑learner background (local AI clusters, end‑to‑end automation, ops leadership) reduces the impact of these gaps. **✅ Strengths:** - Systems architecture + hands‑on infra (built production systems end‑to‑end) - Strong automation and API integration experience (Python) - Domain knowledge in supply chain/operations enabling business‑tech alignment **❌ Missing Required:** Governança de TI e gestão de SLAs (no explicit experience found)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong architectural, DevOps, and automation skills with a solid track record of building complex systems. However, there is a critical gap in the required .NET/C# development stack, which is central to the role, making this a poor technology stack fit despite other strengths. **⚠️ Critical Gaps:** - .NET/C# Development Stack (Primary) **✅ Strengths:** - Strong Systems Architecture & Design (Arquiteto de Soluções) - Demonstrated DevOps & CI/CD capabilities - Highly adaptable and self-taught (Fast Learner bonus) **❌ Missing Required:** Unit Tests, Integrated Tests, Automated Tests (specific frameworks/practices), Code Reviews (participation)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents strong foundational engineering skills, a proven ability to build complex, automated production systems, and an excellent learning agility with a relevant career trajectory towards technical/AI roles. However, there's a significant critical gap in specific Google Cloud Platform (GCP) ecosystem tools, Event-Driven Architecture, and core modern data orchestration/transformation tools (Airflow, dbt, PySpark), which are explicitly required for an Expert Data Engineer role. **⚠️ Critical Gaps:** - GCP Ecosystem (BigQuery, Dataflow, Datastream, Vertex AI, Cloud Functions) **✅ Strengths:** - Strong foundational engineering and system architecture skills - Proven ability to build complex, automated production systems - Excellent learning agility and relevant career trajectory towards technical/AI roles **❌ Missing Required:** Event-Driven Architecture, Message Brokers (Pub/Sub, Kafka), Airflow, dbt, PySpark, Data Structuring Formats (JSON, Parquet, Avro, Proto), NoSQL

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] O candidato demonstra forte experiência em arquitetura de sistemas, automação, infraestrutura Linux, segurança e integração de APIs, além de habilidades avançadas em Python e automação. No entanto, faltam evidências de experiência prática com C++, protocolos financeiros (ISO 8583), criptografia específica (3DES, AES-256, HSM), mTLS, integração com POS, e meios de pagamento instantâneo (Pix). O perfil técnico é robusto e adaptável, mas há lacunas críticas em requisitos essenciais para a vaga. **⚠️ Critical Gaps:** - C++ - ISO 8583 - Criptografia bancária (3DES, AES-256, HSM) - mTLS - Integração com POS - Pix **✅ Strengths:** - Infraestrutura Linux e automação - Design de sistemas resilientes e escaláveis - Integração de APIs e segurança **❌ Missing Required:** C++, ISO 8583, Criptografia bancária (3DES, AES-256, HSM), mTLS, Integração com POS, Pix

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a very strong engineering foundation with extensive experience in Python, SQL, CI/CD, and automation, demonstrated through impactful projects like automated JIT inventory systems and self-hosted AI infrastructure. While specific tools like Databricks, DBT, Airflow, Spark (for large-scale processing), and Power BI are missing, their proven fast-learner ability and transferable skills suggest a high potential for rapid upskilling. **✅ Strengths:** - Strong core engineering skills (Python, SQL, CI/CD, Git, Automation) with proven application in complex, production systems. - Demonstrated ability to build highly automated and resilient systems from concept to execution, showcasing full lifecycle ownership and problem-solving. - Exceptional self-learning and adaptability, evidenced by a progressive career trajectory and successfully tackling new, complex technical domains (AI infrastructure, algorithmic trading). **❌ Missing Required:** Databricks (domínio), DBT (domínio), Airflow (domínio), Spark (domínio em processamento de dados em larga escala), Power BI (domínio em integração)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong expertise in infrastructure, automation, CI/CD, Linux, Docker, and scripting, with proven experience building and operating complex systems. However, there is no direct experience with Azure (cloud or DevOps), Kubernetes, or explicit certifications, which are critical for this role. The candidate's fast learning ability, English fluency, and strong Terraform, Python, and DevOps background make them a good fit, but the lack of Azure and Kubernetes is a notable gap. **⚠️ Critical Gaps:** - Azure (cloud platform experience and tooling) - Kubernetes (container orchestration) **✅ Strengths:** - Terraform and infrastructure automation - Python and scripting for automation - CI/CD and DevOps mindset **❌ Missing Required:** Azure (hands-on experience), Kubernetes

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's extensive background is in software architecture, AI infrastructure, and systems integration, which is a fundamentally different domain from the 'Revit Architect' role focused on architectural design, Revit proficiency, and building codes. Despite strong English skills and a proven learning ability, the core technical requirements for the role are critically unmet. **⚠️ Critical Gaps:** - Proficiency in Revit - +3 years of experience as an architect (specifically in building design/construction, not software) - Solid understanding of building codes and regulations (e.g., IBC) **✅ Strengths:** - Exceptional English proficiency (C2 Certified) - Demonstrated fast learner and self-taught in complex technical domains - Strong background in software architecture, automation, and infrastructure **❌ Missing Required:** Proficiency in Revit, 3+ years of experience as an architect (in the specified domain), Solid understanding of building codes and regulations

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in Python, automation, API integration, and infrastructure, with a proven track record of building robust, production-grade systems. However, there is no evidence of hands-on experience with n8n (a strict requirement), nor with low-code automation tools, Langchain, LlamaIndex, CrewAI, or direct RAG/agent system work. The candidate's fast learning and system integration skills are clear strengths, but the absence of n8n experience is a critical gap for this role. **⚠️ Critical Gaps:** - n8n (production experience required and explicitly stated as non-negotiable) **✅ Strengths:** - Python development and automation - API and system integration - Building robust, production-grade systems **❌ Missing Required:** n8n, Langchain, LlamaIndex, CrewAI, RAG/agent systems

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a very strong profile in Python backend, infrastructure, and automation, demonstrating significant leadership and complex project experience. However, a critical gap exists in core frontend web development skills, specifically React and modern JavaScript, which are primary requirements for this Senior Software Engineer role. While transferable skills and a fast-learner bonus elevate the score, the fundamental mismatch in a key domain leads to a weaker overall fit. **⚠️ Critical Gaps:** - React - JavaScript - Frontend Web Development **✅ Strengths:** - Strong Python Backend & Infrastructure Expertise - Demonstrated Leadership and Project Ownership - Proficiency in CI/CD, Docker, and Automation **❌ Missing Required:** React, JavaScript (ES5+), Agile development methodologies (Jira)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong backend, automation, and infrastructure skills, with proven experience in Python, cloud basics, and system architecture. However, there is no direct evidence of Java, JavaScript, or SAP UI5/Fiori/Angular experience, which are critical for this fullstack UI role. The candidate's fast learning ability and broad technical foundation are strengths, but the lack of hands-on frontend and Java stack experience is a significant gap. **⚠️ Critical Gaps:** - Java - JavaScript - SAP UI5 - SAP Fiori - Angular **✅ Strengths:** - Cloud infrastructure and automation - Clean architecture and system design - Production-grade backend development (Python, SQL) **❌ Missing Required:** Java, JavaScript, SAP UI5, SAP Fiori, Angular

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's extensive experience and skills are in high-level software architecture and AI infrastructure, a domain fundamentally different from the operational industrial production line role described. While highly qualified in technical fields, their expertise does not align with the hands-on, specific requirements of this production support position. **⚠️ Critical Gaps:** - Industrial Production Line Operations (hands-on) **✅ Strengths:** - Exceptional analytical and problem-solving abilities demonstrated by complex projects. - Strong career trajectory in advanced technical domains (AI, systems architecture). - High educational background with a Bachelor's in Engineering and a MicroMasters from MIT. **❌ Missing Required:** Operational production line support, Material handling and supply for production, Quality control for finished products on a line, Adherence to hygiene and safety standards for production workers, Hands-on workstation organization for production, Experience with filling and finishing processes

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates exceptional expertise in backend systems, AI infrastructure, and data analytics, showcasing a robust technical foundation and a rapid learning capability. However, the resume exhibits a critical and fundamental lack of direct experience and explicit skills in front-end development technologies such as JavaScript, HTML, CSS, and React, which are essential for this role. **⚠️ Critical Gaps:** - Frontend Development (JavaScript, HTML, CSS, React) **✅ Strengths:** - Strong Systems Architecture & AI Infrastructure expertise - Proven Fast Learner with diverse complex technical projects - Proficiency in Python, SQL, automation, and DevOps tools **❌ Missing Required:** JavaScript, HTML, CSS, React, 1+ year of front-end development experience

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is automatically disqualified as they do not meet the explicit hard filter requirement of being a native or fluent Arabic speaker. This non-negotiable language proficiency is central to the role's international humanitarian coordination responsibilities. **⚠️ Critical Gaps:** - Native or fluent Arabic speaking ability **✅ Strengths:** - Strong background in supply chain, logistics, and project coordination - Demonstrated ability to architect and automate complex systems - Proven 'Fast Learner' with a trajectory towards advanced technical roles **❌ Missing Required:** Native or fluent Arabic speaker

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Candidate demonstrates strong systems architecture thinking and automation expertise, but lacks the core technology stack (Node.js/TypeScript) and AWS services depth required for this senior backend role. While Python skills show programming capability, the 5+ years Node.js requirement and 4+ years AWS Lambda/API Gateway experience are critical gaps. The candidate's system design experience (JIT inventory, automation pipelines) and clean architecture knowledge show transferable skills, but this role requires immediate domain expertise in payment systems and Node.js microservices at scale. **⚠️ Critical Gaps:** - 5+ years Node.js/TypeScript experience (candidate has Python, not Node.js) - 4+ years AWS services experience (candidate has 'AWS Basics' only) - 2+ years distributed systems/microservices at scale (no evidence of production-scale microservices) - Payment systems domain experience (no fintech/payment gateway background) **✅ Strengths:** - Strong systems architecture and automation expertise - designed and deployed production-grade JIT system with >95% uptime - Proven ability to build end-to-end systems independently - full-stack e-commerce automation with zero manual intervention - Business-technical bridge skills - 10+ years connecting business objectives to technical infrastructure, valuable for payment hub strategy discussions **❌ Missing Required:** Node.js advanced (5+ years), TypeScript advanced, AWS Lambda production experience (4+ years), API Gateway, DynamoDB, SQS/SNS messaging, Step Functions, High-scale distributed systems (2+ years), Payment provider integrations, End-to-end automated testing in Node.js ecosystem

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents a strong profile with extensive experience in backend system design, API integration, and cloud concepts, along with a demonstrated ability to rapidly learn complex technologies. However, the absence of Java experience, which is the primary requirement for this 'Junior Java Developer' role, represents a critical gap. **⚠️ Critical Gaps:** - Java **✅ Strengths:** - Extensive backend system design and API integration experience. - Strong foundational technical skills in SQL, general AWS concepts, and automation. - Proven fast learner and builder of complex production-grade systems. **❌ Missing Required:** Java, Noções de arquitetura orientada a eventos

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong foundational match with excellent systems thinking and automation experience. The candidate demonstrates proven ability to build production-grade systems from scratch (JIT inventory engine) and has relevant Python/AWS basics. However, lacks specific enterprise-scale technologies (Kafka, DynamoDB) and conversational AI/LLM integration experience that are core to this role. The 10+ years experience building self-sustaining systems and strong business-to-technical bridge skillset align well with the 'enterprise-grade systems' requirement. Age 33 with demonstrated fast-learning through career pivots (Finance → E-commerce → AI Infrastructure) suggests strong adaptability. **✅ Strengths:** - Proven track record building fully automated, production-grade systems (95% in-stock JIT system with zero daily maintenance) - Strong business-to-technical translation ability with Supply Chain + Finance background - ideal for enterprise retail clients - Hands-on AI infrastructure experience (self-hosted LLMs, privacy-first deployments) demonstrates curiosity and technical depth in emerging AI **❌ Missing Required:** Kafka (explicitly required), DynamoDB (explicitly required), 5+ years hands-on software engineering (has ~4 years focused SWE, rest hybrid), Proven enterprise system scaling experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong backend development, automation, and API integration skills with a commendable track record as a fast learner. However, the role's core requirements for C# / ASP.NET (Web Forms) and React are significant gaps in the candidate's profile, leading to a low match score. While technically proficient, their expertise is in a different primary tech stack. **⚠️ Critical Gaps:** - C# / ASP.NET (Web Forms) **✅ Strengths:** - Extensive experience with API consumption and integration within complex systems. - Proven ability as a fast learner and self-starter, quickly mastering new technical domains. - Strong background in backend development, automation, and infrastructure (Docker, Linux). **❌ Missing Required:** C# / ASP.NET (Web Forms), React

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] The candidate exceeds all hard requirements: fluent English, strong analytical skills, advanced Excel, and extensive experience communicating technical concepts. While lacking explicit customer support job titles, their leadership, consulting, and client-facing roles demonstrate transferable skills. No critical gaps; only minor nice-to-have tool experience (Intercom, Salesforce) is missing. **✅ Strengths:** - Advanced analytical thinking - Fluent English communication - Excel and data management

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents strong foundational skills in Python, SQL, and CI/CD, and a proven ability as a rapid, self-taught learner in complex technical fields. However, there's a significant critical gap in direct experience within the Quality Assurance and dedicated Test Automation domain. Furthermore, key required frameworks and languages such as RestAssured, Selenium, JUnit, Jest, Java, Maven, and BDD are entirely absent from their profile. **⚠️ Critical Gaps:** - Experience as QA Analyst / Test Automation Engineer **✅ Strengths:** - Strong Python & SQL proficiency with demonstrated application - Extensive experience in designing and building automated, production-grade systems - Proven track record as a fast and self-taught learner with a clear technical career trajectory **❌ Missing Required:** RestAssured, Selenium, JUnit, Jest, Java, Maven, BDD

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong foundational match with significant Data Engineering potential. Candidate demonstrates proven system architecture skills, Python proficiency, automation expertise, and self-learning capacity. However, lacks hands-on experience with specific AWS data stack tools (Spark, Airflow, EMR, MSK, Glue) and modern data lakehouse technologies (Iceberg/Delta). The 33-year-old engineer shows strong 'builder' mentality with production systems experience, making missing tools learnable within 2-3 months with proper onboarding. **✅ Strengths:** - End-to-end system architecture: Built production-grade automated systems from scratch (JIT inventory, trading bots), demonstrating ability to own complex projects - Python + SQL + Automation mastery: Strong foundation in core Data Engineering languages with proven automation results (100% operational time freed) - Fast learner with modern tech adoption: Self-hosted LLMs, Docker, Terraform, clean architecture - shows initiative to learn cutting-edge tools independently **❌ Missing Required:** Apache Spark (core requirement - both batch and streaming), Apache Airflow (orchestration - core requirement), AWS Data Stack depth (EMR, MSK, Glue, Athena, Lake Formation), Data Lakehouse technologies (Iceberg or Delta Lake)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating extensive experience in AI infrastructure, clean architecture, and strategic business-to-tech translation, aligning perfectly with the role's core responsibilities. While specific technologies like Kafka and Kubernetes are not explicitly listed, the candidate's proven fast-learner track record and deep system design expertise indicate a high capacity to quickly adopt these tools. **✅ Strengths:** - AI Infrastructure & Process Optimization - Architectural Acumen & System Design - Leadership, Project & Stakeholder Management **❌ Missing Required:** Kafka, Kubernetes, 12-factor app principles

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong technical match, demonstrating extensive experience in distributed systems, architecture, Python, DevOps, and data engineering. Their 'Fast Learner' aptitude and diverse project history are significant assets. However, explicit experience leading teams of 5+ members and knowledge of the specific TRIZ framework are missing, preventing a perfect match. **✅ Strengths:** - Solutions Architecture & Distributed Systems Expertise (JIT, LLM clusters, production systems) - Strong Python proficiency and Data Engineering capabilities with demonstrable real-world application - Proven ability to build scalable, production-grade systems, coupled with a 'Fast Learner' aptitude and diverse technical background **❌ Missing Required:** Explicit 2+ years managing teams of 5 or more, Knowledge of innovative frameworks like TRIZ, Broad expertise in GCP and Azure cloud platforms (beyond AWS Basics)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong automation, AI, and systems architecture skills. However, the core requirements for a Quality Assurance/Test Engineer role, such as dedicated test planning, execution of various test types, and quality assurance methodologies, are largely absent from the resume, leading to a low overall match. **⚠️ Critical Gaps:** - Core Quality Assurance (QA) and Test Engineering domain expertise, including structured test planning, diverse test execution, defect root cause analysis (from a QA perspective), and test strategy implementation (e.g., test pyramid, quality metrics). **✅ Strengths:** - Expertise in automation and AI techniques directly relevant to workflow optimization. - Proven leadership and team management experience from previous roles. - Exceptional self-taught learning ability and continuous education. **❌ Missing Required:** Develop test plans, defining strategies and approaches to evaluate software functionality and usability., Develop and execute functional, exploratory, regression, performance, security, and other types of tests., Identify the root causes of defects found, conducting in-depth analyses and actively working to reduce defect rates with the development team., Validate if the software complies with all established Business Rules., Document the tests conducted, producing reports and evidence records., Participate in planning meetings and code reviews to provide insights on quality and potential improvements (QA specific focus)., Apply and maintain the test pyramid (test layers/levels)., Understand and retrieve quality metrics to support agendas such as RCA.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong technical skills in automation, system integration, and complex software development, but critically lacks experience with low-code/no-code platforms, which is central to the 'Desenvolvedor Cidadão' role. Significant gaps also exist in agile methodologies. **⚠️ Critical Gaps:** - Low-code/no-code application development (for 'Desenvolvedor Cidadão' role) **✅ Strengths:** - Exceptional experience in process automation and system integration using code. - Proven ability to architect and deploy complex, production-grade technical systems (e.g., AI infrastructure). - Strong self-learner with a clear, progressive career trajectory into advanced technical domains. **❌ Missing Required:** Agile methodologies (Scrum, Kanban) and associated tools (Jira, Trello, Azure DevOps)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Strong systems architect with excellent backend fundamentals and cloud experience, but significant technology stack mismatch. Primary gap is Java ecosystem (Java, Quarkus, Mutiny) and Angular frontend - candidate's experience centers on Python. However, demonstrates 'fast learner' traits: self-taught AI infrastructure, built production e-commerce systems from scratch, and has relevant financial markets domain knowledge. The architectural thinking, microservices understanding (via Docker/containerization), and AWS basics translate well, but this is a stretch role requiring 6-12 months ramp-up. **⚠️ Critical Gaps:** - Java backend development (primary job requirement) - Angular frontend development - Kubernetes orchestration - Calypso back office system experience **✅ Strengths:** - Financial markets domain expertise (CryptoCall, Atlas Quantum) - directly relevant to back office financial systems - Systems architecture and backend engineering mindset - built production-grade automated systems from scratch - Proven fast learner with self-directed upskilling (AI infrastructure, cloud, automation) - demonstrates ability to master new tech stacks **❌ Missing Required:** Java with Design Patterns, Microservices Architecture with Java/Quarkus, Angular framework, Kubernetes, Message brokers (RabbitMQ/Kafka), AWS EKS, AWS SNS/SQS, Calypso system maintenance

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is unequivocally disqualified because they do not meet the fundamental educational requirement of currently studying Law (4th to 8th semester). Their background is entirely in Engineering and IT, which is completely misaligned with a legal assistant role. **⚠️ Critical Gaps:** - Studying Law (4th to 8th semester) - Knowledge in Social Security Law - Legal Research - Legal Document Drafting **✅ Strengths:** - Knowledge in Microsoft Office Suite - Excellent writing skills (inferred from professional roles) - Proven Fast Learner (though irrelevant for this role) **❌ Missing Required:** Cursando a partir do 4º ao 8º período de Direito, Ter conhecimento mínimo em Direito Previdenciário

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents a robust background in general systems architecture, automation, and Python development, coupled with a strong aptitude for learning new technologies. However, the role is highly specialized for a Salesforce Developer, requiring specific expertise in Apex, Visualforce, and Lightning Components, as well as Salesforce certifications and platform-specific development practices, all of which are critically absent from the candidate's profile. While transferable skills exist, the fundamental domain mismatch makes this a poor fit. **⚠️ Critical Gaps:** - Salesforce Platform Domain Expertise (Apex, Visualforce, Lightning Components, Aura Components) **✅ Strengths:** - Strong foundational engineering and systems architecture skills. - Demonstrated ability to quickly learn and implement complex technologies (e.g., self-hosted LLM clusters, algorithmic trading bots). - Extensive experience in automation, general API integration, and building production-grade systems using Python. **❌ Missing Required:** Salesforce Certifications, Salesforce-specific Unit Testing experience, Salesforce-specific API Integration expertise

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses a strong technical background and entrepreneurial spirit, but their experience is overwhelmingly in AI infrastructure, systems architecture, and engineering. The job is a pure business development/sales co-founder role, creating a critical mismatch in core responsibilities and skills. **⚠️ Critical Gaps:** - Core Business Development/Sales expertise (candidate is purely technical) **✅ Strengths:** - Strong entrepreneurial mindset (demonstrated by self-owned business) - Proven fast learner with a track record of self-teaching complex technologies - Comfortable with startups and early-stage growth (from founder/freelance experience) **❌ Missing Required:** Experience in business development, sales, partnerships

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate possesses advanced technical skills and experience in AI infrastructure and systems architecture, but the job is a B2B sales role requiring cold-calling and appointment setting. There's a fundamental domain mismatch, and the candidate lacks the required Spanish fluency. **⚠️ Critical Gaps:** - Spanish language fluency - Cold-calling and outbound appointment setting experience - High-volume prospecting and sales experience **✅ Strengths:** - Proven ability as a fast learner in complex technical domains - Strong background in technical architecture and systems integration - Fluent English (C2 certified) **❌ Missing Required:** Proficiency with HubSpot CRM for sales activities

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a proven fast learner with strong analytical skills and fluent English. However, there are critical gaps in direct experience with Oracle ERP Fusion Cloud Financial Modules and specific R2R/accounting processes required for this consultant role. His career trajectory has moved away from traditional ERP finance roles towards AI infrastructure and automation. **⚠️ Critical Gaps:** - Oracle ERP Fusion Cloud Financial Modules experience **✅ Strengths:** - Fluent English (C2 Certified) - Strong analytical and business-oriented profile - Proven fast learner and self-starter **❌ Missing Required:** Experiência com Oracle ERP Fusion Cloud – Módulos Financeiros, Suporte e otimização de processos Record to Report (R2R), Processos contábeis, fechamento financeiro e reporting

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong capabilities in system architecture, automation, and API integration, coupled with a proven fast-learner track record and fluent English. However, there is a critical and fundamental lack of experience in ServiceNow Service Portal development and core front-end web technologies (JavaScript, HTML5, CSS3, AngularJS), which are central to this specialized role. This significant domain and skill mismatch makes the candidate a poor fit despite strong general technical acumen. **⚠️ Critical Gaps:** - ServiceNow Service Portal Development - Core Front-End Web Development (JavaScript, HTML5, CSS3, Responsive Design, Digital Accessibility, AngularJS) **✅ Strengths:** - Strong System Architecture and Automation Expertise - Proficiency in Git/GitHub and API Integration - Demonstrated Fast Learner and Strategic Career Progression **❌ Missing Required:** ServiceNow Service Portal UX, AngularJS, JavaScript, HTML5, CSS3, Custom Widgets (ServiceNow), Client Scripts (ServiceNow), UI Policies (ServiceNow), Business Rules (ServiceNow), Data Tables (ServiceNow), Responsive Design, Digital Accessibility

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong backend, systems architecture, and AI infrastructure expertise, aligning well with the Python and API requirements. However, a significant and critical gap exists in the required 5+ years of Vue.js and associated modern frontend development skills, making them unsuitable for a Senior Fullstack Developer role with such a specific frontend focus. **⚠️ Critical Gaps:** - Modern Frontend Development (specifically Vue.js/TypeScript expertise as a core requirement) **✅ Strengths:** - Extensive Python and backend systems architecture experience - Proven track record of building and deploying production-grade systems independently - Exceptional learning agility and problem-solving evidenced by diverse technical achievements **❌ Missing Required:** 5+ years of experience with Vue.js and TypeScript (especially Vue 3, Composition API), Strong skills in Tailwind CSS, Storybook, and component-based architectures, Good knowledge of frontend performance optimization and responsive design

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong foundation in IaC (Terraform), scripting (Python, Bash), CI/CD, and Linux, with significant experience in architecting automated production systems that infer PaaS principles and self-service tool design. However, notable gaps exist in deep AWS expertise, especially with ECS and IAM for microservices, and direct experience building internal developer platforms like Backstage. **✅ Strengths:** - Strong foundation in IaC (Terraform), scripting (Python, Bash), Git/GitHub, and CI/CD pipelines. - Proven ability to architect and build production-grade, automated systems, demonstrating strong inference for PaaS principles, self-service tools, and infrastructure templating. - Exceptional self-learner with a clear career trajectory towards AI/Infrastructure, indicating high adaptability and growth potential. **❌ Missing Required:** Deep expertise in AWS (especially working with services like ECS, IAM, and supporting microservices architectures), Experience building internal developer platforms (ideally using frameworks like Backstage)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong capabilities in systems architecture, AI infrastructure, and automation, backed by a significant 'fast learner' bonus and relevant financial domain experience. However, the complete absence of Java and Angular experience, both mandatory for this 'Full Stack Developer' role, constitutes critical skill gaps. **⚠️ Critical Gaps:** - Java (6+ years experience) - Angular (Front-end experience) **✅ Strengths:** - Strong experience in AI Infrastructure, Automation, and Systems Architecture - Proven 'Fast Learner' with a clear career trajectory towards technical/AI roles - Relevant domain experience in finance and supply chain

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is a strong Systems Architect and AI Infrastructure specialist with extensive experience in backend and automation, but critically lacks experience in Angular and core frontend development, which are primary requirements for this role. This fundamental mismatch, despite strong general engineering skills, leads to a poor fit. **⚠️ Critical Gaps:** - Angular (all versions including 8+ and 14+) - Typescript - RxJS - PrimeNG 14+ - Extensive experience in designing and developing front-end and large-scale intranet/internet applications - Working experience in Reactive programming - Hands-on experience in implementing Micro Frontends - Ability to identify commonly used components and create Library packages - Architectural-level knowledge of the Angular framework - Ability to translate Figma UX designs into workable Angular components **✅ Strengths:** - Strong background in Systems Architecture and Infrastructure - Proven ability to build automated, production-grade backend systems - Exceptional 'Fast Learner' capability and continuous self-education **❌ Missing Required:** JIRA (specific tool experience)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong architectural thinking and systems design experience demonstrated through building production-grade automated systems. Proven Python expertise and infrastructure knowledge (Docker, Terraform, AWS basics, CI/CD). However, lacks direct experience with the core required stack (Java, Node.js, Go) and deep AWS expertise. The candidate shows strong 'fast learner' indicators through self-hosted AI infrastructure and cross-domain expertise (supply chain + fintech + e-commerce automation). Geographic requirement (São Paulo/Campinas/Criciúma) is met as candidate is Brazil-based. The hands-on, pragmatic profile aligns well with the 'mão na massa' requirement. **✅ Strengths:** - Proven end-to-end system architect: Designed and built production-grade JIT automation system achieving 95%+ uptime with zero manual intervention - Infrastructure and DevOps mindset: Docker, Terraform, CI/CD pipelines, local AI clusters - demonstrates 'metal-up' architecture philosophy aligned with cloud-native thinking - Cross-domain technical translator: 10+ years bridging business needs (Supply Chain, Finance) with technical implementation - perfect for architectural governance role **❌ Missing Required:** Java, Node.js, Go

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] The candidate demonstrates strong systems thinking and architecture skills with proven ability to build production systems from scratch. However, this is a significant role mismatch: the position requires a Principal-level Distributed Systems Engineer with 5+ years in data engineering and 2+ years leading teams of 5+, while the candidate's background is primarily in e-commerce automation, supply chain, and finance with minimal distributed systems experience. The candidate has relevant foundational skills (Python, Docker, cloud basics, system design) and demonstrates 'fast learner' potential through self-directed AI/ML infrastructure work, but lacks critical enterprise distributed systems experience (Kafka, Spark, distributed consensus, fault tolerance), formal team leadership at scale, and deep cloud platform expertise. **⚠️ Critical Gaps:** - No proven experience in distributed data engineering (core requirement) - No demonstrated team leadership of 5+ engineers (hard requirement) - No full enterprise project lifecycle experience in distributed systems domain - Missing expertise in distributed system fundamentals (fault tolerance, consensus, distributed storage) **✅ Strengths:** - Strong systems architecture mindset with proven ability to build production-grade automated systems from scratch (JIT inventory, trading bots) - Excellent cross-domain knowledge bridging technical and business (Supply Chain, Finance, Engineering) - valuable for stakeholder communication - Demonstrated self-learning capability and emerging tech adoption (self-hosted LLMs, AI clusters, Docker/Terraform) shows adaptability potential **❌ Missing Required:** 5+ years data engineering with distributed systems, 2+ years leading teams of 5+ engineers, 2+ full project lifecycles in distributed systems, Deep cloud platform expertise (AWS/GCP/Azure), DevOps practices at enterprise scale, Data engineering domain experience, System security expertise, TRIZ or similar methodologies

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly skilled technical architect and engineer, but their experience is fundamentally misaligned with the requirements for a Junior Project Manager role in a digital marketing agency focused on CRM communication projects. While possessing strong project management fundamentals, the domain, required tools, and career stage are critical mismatches. **⚠️ Critical Gaps:** - Domain and role type mismatch: Technical Infrastructure/AI Architect vs. Agency/Marketing Project Management **✅ Strengths:** - Proven fast learner with strong self-teaching track record - Extensive experience in managing complex technical projects from conception to deployment - Proficient in English (C2 Certified/Fluent) **❌ Missing Required:** Agency-specific project management experience (communication, CRM projects), Project management tools (Jira, Monday, Asana, Trello), Communication and organization tools (Google Workspace, Slack), Fit for an 'early to early-intermediate career' role given senior technical background

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong technical architecture, engineering, and data analysis skills with a focus on AI infrastructure. However, the role is for a Senior Product Manager, a domain requiring deep product strategy, market analysis, customer-centric development, and product lifecycle management, which are largely absent from the candidate's resume. **⚠️ Critical Gaps:** - Core Product Management domain expertise (strategic product vision, market analysis, customer-centric innovation, product roadmap ownership) **✅ Strengths:** - Strong technical foundation in architecture, engineering, and AI infrastructure - Proven track record as a fast learner with diverse self-taught expertise - Solid experience in data analysis and general project management (transferable)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong profile with over 10 years of experience, demonstrating robust project management, analytical, and automation skills relevant to the role. Their background in Mechatronics Engineering, combined with experience in manufacturing/supply chain and C2-certified English, aligns well with many requirements. The primary gap is the explicit knowledge of APQP and PAPP. **✅ Strengths:** - Extensive Technical Project Management & Automation Experience - Strong Analytical & Data-Driven Problem-Solving Skills - Relevant Engineering Background with Manufacturing/Supply Chain Domain Expertise **❌ Missing Required:** APQP, PAPP

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, possessing deep data engineering experience, E2E pipeline expertise, and strong Python/SQL skills applied to complex systems. Their proven fast-learner ability and relevant domain expertise further strengthen their profile, despite a lack of direct experience with specific Azure Data Engineering tools, which they are well-positioned to acquire rapidly. **✅ Strengths:** - Extensive experience in data engineering principles, E2E pipeline architecture, and complex data systems using Python/SQL. - Demonstrated 'Fast Learner' with a strong track record of self-teaching and building production systems in advanced technical domains (AI infrastructure, algorithmic trading). - Robust systems architecture and automation background, providing a solid foundation for data solution design and implementation. **❌ Missing Required:** Experience with ADLS, Azure Databricks, ADF, Azure SQL, or Synapse, Specific NoSQL database experience

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong general project management, automation, and system architecture skills with a proven fast-learning ability. However, there is a critical mismatch in the required project management domain (communication, media, influencers) and the candidate does not meet the explicit geographic requirement for a hybrid role in São Paulo. **⚠️ Critical Gaps:** - Geographic requirement for hybrid role in São Paulo - Domain expertise in communication/media project management for 360 campaigns - Experience with influencers and content partners - Familiarity with digital performance and CRM **✅ Strengths:** - Strong experience in general project management, automation, and system implementation. - Demonstrated fast learner and self-starter with a track record of building complex systems. - Ability to create and optimize workflows and manage technical project aspects effectively. **❌ Missing Required:** Project management specifically in communication, media, performance, and 360 campaigns, Experience with influencers and content partners, Familiarity with digital performance and CRM

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly experienced Solutions Architect and Head of Engineering, demonstrating exceptional technical depth in systems architecture, AI infrastructure, and automation. However, their advanced background significantly overqualifies them for a 'Junior IT Support' role and lacks direct, hands-on experience in the day-to-day, entry-level IT support functions and processes explicitly required by the job description. **⚠️ Critical Gaps:** - Experience level and role type mismatch: highly experienced Systems Architect/Engineer vs. Junior IT Support - Lack of direct, primary experience in frontline end-user IT support tasks. **✅ Strengths:** - Exceptional technical aptitude and problem-solving skills from complex engineering projects. - Proven 'fast learner' with a strong upward career trajectory. - Fluent in English and possesses a relevant engineering degree. **❌ Missing Required:** 1-3 years of direct working experience in a similar junior IT support position., Demonstrated primary responsibility for installing and configuring user hardware, software, networks, printers, and scanners in a support context., Proven experience as a primary responder to service issues and requests, and setting up user accounts in a helpdesk capacity., Routine experience with asset management, hardware inventory, and logging issues as core functions.

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] While the candidate has strong supply chain domain knowledge, procurement experience, and systems architecture skills, this role requires specialized enterprise software expertise (Coupa certification + SAP S/4HANA configuration) with 7+ years in those specific platforms. The candidate's background is in building custom automation systems rather than configuring/implementing enterprise procurement software. The domain overlap (procurement, supply chain) is excellent, but the technical stack is fundamentally different. **⚠️ Critical Gaps:** - No Coupa certification or experience (REQUIRED by hiring manager) - No SAP S/4HANA functional configuration experience (REQUIRED) - No enterprise procurement software implementation experience (5+ years required) - Missing 7+ years Coupa/SAP configuration experience (has 0 years) **✅ Strengths:** - Strong procurement and supply chain domain knowledge (5+ years hands-on) - Proven systems architecture and automation experience - Supply Chain Analytics MicroMasters from MIT demonstrates relevant business education **❌ Missing Required:** Coupa Procure-to-Invoice System Administration Certification, 7+ years Coupa configuration experience, 7+ years SAP S/4HANA Source to Pay configuration, Multiple full-cycle global SAP implementations, Coupa with SAP S/4 HANA global implementation, Enterprise procurement transformation experience (5+ years), Functional specifications for SAP WRICEF objects