[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates strong transferable analytical, strategic, and profitability optimization skills through diverse technical projects. They are a proven fast learner with a clear technical career progression. While possessing general market intelligence capabilities and finance understanding, specific experience in IT services deal shaping, pricing, and IT market intelligence is less direct. **✅ Strengths:** - Strong analytical and data-driven strategy development with a focus on profitability. - Proven 'Fast Learner' with a clear career trajectory towards advanced technical/AI roles. - Solid technical foundation (Python, automation, AI/Cloud basics) and understanding of finance processes. **❌ Missing Required:** Deal shaping (IT services context), Pricing strategies (IT services context), IT market intelligence

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates exceptional general software development, system architecture, and automation skills, coupled with a strong fast-learner track record. However, they critically lack hands-on experience with Microsoft BizTalk Server, C#/.NET, and specific Azure Integration Services, which are foundational requirements for this specialized role, leading to a poor fit despite other strengths. **⚠️ Critical Gaps:** - Microsoft BizTalk Server (core role requirement, different domain from candidate's primary expertise) **✅ Strengths:** - Strong general software development and systems architecture background. - Proven ability in building automated, production-grade systems and complex integrations. - Exceptional fast learner with strong analytical and problem-solving skills. **❌ Missing Required:** C# / .NET, Azure Integration Services (Logic Apps, API Management, Service Bus, Functions)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems architect and infra background with demonstrated fast-learning (local LLM clusters, production automation) but lacks the core legacy Microsoft/Sybase stack required by this role, including the explicit PowerBuilder certification the JD mandates. **⚠️ Critical Gaps:** - Sybase PowerBuilder (and required PowerBuilder certification) - BLOCKING - Microsoft Host Integration Server / Mainframe (COMTI) integration - BLOCKING **✅ Strengths:** - End-to-end system architecture and production engineering - Automation and orchestration using Python, CI/CD and scripting - Proven fast learner (self-taught LLM hosting, diverse projects) **❌ Missing Required:** Hands-on experience with Sybase PowerBuilder (support/installation/development), At least one PowerBuilder certification (Sybase PowerBuilder Developer Professional / Migration / Associate)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong architectural and technical skills, including cloud computing, containers, IaC, and robust development practices, with a commendable career trajectory and fast learning ability. However, a critical lack of experience with Oracle Retail implementation and migration, which is the primary required skill, severely impacts the match. **⚠️ Critical Gaps:** - Oracle Retail implementation - Oracle Retail migration from on-premise to cloud **✅ Strengths:** - Strong Architectural and Systems Integration experience with demonstrated project leadership. - Proficiency in modern cloud infrastructure, containerization (Docker), and Infrastructure as Code (Terraform). - Proven Fast Learner with a clear career progression into technical and AI roles, and strong problem-solving skills (JIT systems, trading bots). **❌ Missing Required:** Oracle Retail implementation, Oracle Retail migration (on-premise to cloud), Kafka ou SNS + SQS, Governança de dados

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate exhibits strong systems architecture, automation, and order management experience, along with a significant fast-learner bonus. However, the job critically requires specific expertise in Salesforce Industries and Communications Cloud, which are entirely missing from their profile, alongside a gap in telecommunications processes. **⚠️ Critical Gaps:** - Salesforce Industries Architecture - Communications Cloud **✅ Strengths:** - Strong systems architecture and automation capabilities. - Proven expertise in order management and supply chain logistics. - Demonstrated ability as a fast learner with diverse technical project experience. **❌ Missing Required:** Processos de telecomunicacoes

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong infrastructure, systems-architecture and integration background with proven delivery and client-facing consulting experience and fluent English, but lacks core contact-center/telephony and Genesys-specific experience which are central to this role; candidate shows high fast-learning potential so gaps are addressable with focused upskilling. **⚠️ Critical Gaps:** - Genesys Cloud (platform-specific product knowledge is blocking for implementation/consulting) - Conceptual telephony / call center operations (fundamental domain knowledge required to represent client and design solutions) **✅ Strengths:** - Systems architecture and end-to-end production delivery (metal-up IA clusters, JIT systems) - Integrations and automation using Python and APIs - Technical project leadership and client-facing translation of business needs **❌ Missing Required:** Conhecimento de soluções Genesys Cloud, Conhecimento conceitual de telefonia, Conhecimentos das estruturas operacionais de um call center, Conhecimentos de métricas e KPIs para sistemas de atendimento

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong general database and system architecture experience, Python proficiency, and IaC skills. However, a critical gap exists in direct Google Cloud Platform database design experience, which is the primary focus of this role. While the candidate demonstrates significant learning agility and relevant inferred skills, the lack of explicit GCP expertise and hands-on experience with at least two specific GCP database technologies makes them a poor fit. **⚠️ Critical Gaps:** - 3+ years designing systems on Google Cloud Platform **✅ Strengths:** - Extensive production database experience (10+ years) - Strong foundational skills in Python, SQL, and IaC (Terraform) applied to complex systems - Proven fast learner and track record of building production systems from scratch, including real-time systems **❌ Missing Required:** Deep, hands-on experience with at least one more GCP database from: BigQuery, Cloud Spanner, AlloyDB, Bigtable, Firestore

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, AI infrastructure, and Python development, coupled with a highly valued 'Fast Learner' trait and positive career trajectory. However, there are critical gaps in embedded Linux (Yocto/RTOS/firmware) and direct automotive industry experience, which are core requirements for this specific Solutions Architect role. **⚠️ Critical Gaps:** - Embedded Linux (Yocto/RTOS, low-level boot/BIOS/firmware experience) **✅ Strengths:** - Extensive Linux & Python development with practical application - Demonstrated 'Fast Learner' and positive career trajectory into AI/Systems - Strong systems architecture and automation experience (JIT, LLMs, trading bots) **❌ Missing Required:** Relevant experience in the Automotive industry

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents strong architectural and DevOps capabilities, demonstrating proficiency in designing and implementing complex, automated systems and AI infrastructure. However, a critical gap exists in the required Java/Spring Boot microservices development experience, and there are significant absences in specific API definition tools, API gateways, and messaging platforms. **⚠️ Critical Gaps:** - Java (Spring Boot) for microservices development **✅ Strengths:** - Strong experience in designing and building automated production-grade systems and AI infrastructure. - Demonstrated DevOps and CI/CD capabilities. - Proven fast learner with a positive career trajectory towards technical/AI roles, complemented by relevant finance/supply chain domain experience. **❌ Missing Required:** BIAN Framework, Advanced API definition knowledge (OpenAPI, GraphQL, gRPC, Avro, JSON Schema), API Gateways (Spring Cloud Gateway, Apigee, Kong), Microservices development in Java (Spring Boot), Messaging technologies (Kafka, Pub/Sub)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong general systems architecture, automation, and leadership skills with a proven fast-learner trajectory. However, there are critical gaps in core technical requirements, specifically for .NET/C# development and extensive Microsoft Azure expertise. Furthermore, the role requires specific domain knowledge in the health sector, which the candidate lacks, leading to a poor fit despite general architectural strengths. **⚠️ Critical Gaps:** - Core Development Platform: .NET and C# - Industry Domain: Health area needs and regulatory compliance **✅ Strengths:** - Strong general systems architecture and automation experience - Proven track record as a fast learner and builder of production systems - Experience with leadership and cross-functional team collaboration **❌ Missing Required:** Microsoft Azure (emphasis), Kubernetes (practical expertise)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture background, Terraform, Python and SQL experience show clear ability to own data platforms; however the resume lacks demonstrated deep AWS service ownership, ETL/orchestration and managed data-warehouse/streaming platform experience required for immediate senior ownership. **⚠️ Critical Gaps:** - Deep AWS platform ownership (VPC, EC2, RDS, IAM, CloudWatch, Lambda) — role expects hands-on AWS leadership - ETL/orchestration tooling (dbt/Airflow/AWS Glue) and proven data-pipeline ownership - Managed data warehouse / data lake experience (Redshift/Snowflake/BigQuery) and large-scale analytics platform builds **✅ Strengths:** - Infrastructure-as-Code and ops automation (Terraform, CI/CD, Linux) - Python + SQL data engineering experience and analytics mindset - Proven systems architect building production systems end-to-end (JIT systems, self-hosted AI clusters) **❌ Missing Required:** Deep, demonstrable experience with core AWS services listed in JD (beyond 'AWS Basics'), Hands-on ETL/ELT orchestration experience (dbt, Airflow or Glue), Experience designing/operating data warehouses and data lakes at scale, Event-driven / streaming architectures (Kafka/Kinesis) for real-time analytics

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture, integration, DevOps and AI-infrastructure background indicates fast-learning potential and ability to adopt CRM platforms quickly; however there is little to no evidence of hands-on, vendor-specific CRM architecture work, iPaaS integrations or formal CRM architect certifications required for this role. **⚠️ Critical Gaps:** - Hands-on CRM platform architecture & implementations (Salesforce/Dynamics/SAP) — blocking - iPaaS integration expertise for enterprise CRM integrations — blocking - Relevant CRM Platform Architect certification(s) — blocking **✅ Strengths:** - End-to-end systems architecture and integration (APIs, automation, logistics/JIT systems) - DevOps & infrastructure competence (Docker, Terraform, CI/CD, Git) - AI/ML infrastructure experience and practical LLM deployments **❌ Missing Required:** In-depth expertise in modern CRM platform architectures (not evidenced), Expertise integrating CRM platforms with external systems using modern iPaaS (not evidenced), Relevant CRM Platform Architect certifications (not present), Strong knowledge of CRM platform AI features (vendor-specific capabilities not shown)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate has a strong technical background in infrastructure, automation, and security concepts, with proven experience in system architecture, Python, cloud basics, and SSO/RBAC. However, there are notable gaps in hands-on experience with specific security solutions (Firewall, WAF, SIEM, NAC), network operations, and relevant certifications. The candidate's fast learning ability and broad technical foundation make them a strong learner, but the lack of direct experience with core security tools and pre-sales roles is a moderate blocker for immediate fit. **⚠️ Critical Gaps:** - Hands-on experience with Firewall, WAF, SIEM, NAC solutions - Certificações de Rede ou Segurança (Security+, CCNP, etc.) **✅ Strengths:** - Complex system architecture and automation - Security and identity fundamentals (SSO, RBAC, privacy) - Strong communication and project delivery skills **❌ Missing Required:** Firewall, WAF, SIEM, NAC

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, bringing over a decade of experience in software development, AI infrastructure, and systems architecture. His proven ability to rapidly acquire new technologies and translate business needs into robust technical solutions, combined with a C2 English proficiency, aligns perfectly with the demands of a Staffing Solution Architect role requiring broad technical acumen and client engagement. **✅ Strengths:** - Extensive full-stack technical expertise in AI, DevOps, Data, and Backend systems with a strong development track record. - Proven Solution Architecture and Systems Integration capabilities, effectively bridging business objectives with technical implementation. - Exceptional fast-learner with a clear career progression towards complex technical and architectural roles, ideal for staying current with diverse tech stacks.

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong architecture, automation, and cloud fundamentals, with deep experience in Python, infrastructure, and system design. However, there are critical gaps in direct Java, Spring, Groovy, JMS, and specific tools (Sonar, Jenkins, JMeter, DynamoDB, Elastic, Angular) required for the role. The candidate's fast learning and system-building ability are clear strengths, but the lack of hands-on Java ecosystem experience is a significant blocker for a senior architect position in this stack. **⚠️ Critical Gaps:** - Java - Spring - Groovy - JMS **✅ Strengths:** - System architecture and automation - Python and infrastructure expertise - Proven fast learner and builder **❌ Missing Required:** Java, Spring, Groovy, JMS

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a good match for the Data Architect role, demonstrating strong experience in systems architecture, automation, and proficiency in core programming languages like Python and SQL. However, there are notable gaps in explicit large-scale data warehousing/data lake experience, specific data modeling methodologies, and certain big data technologies, which reduce the overall score. **✅ Strengths:** - Extensive experience in systems architecture, automation, and leadership. - Strong proficiency in Python, SQL, and practical data integration/automation. - Proven fast learner with a clear career trajectory towards technical and AI roles, and relevant industry domain experience. **❌ Missing Required:** Large-scale data warehouse and data lake implementations, NoSQL databases, Big Data Technologies (Hadoop, Spark, Kafka), Data Governance Tools

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems architecture, infra automation and on-prem AI experience indicate fast-learning potential, but the role requires deep, hands-on Genesys Cloud CX expertise and certifications—which are absent—so the candidate could ramp but not immediately lead large Genesys implementations. **⚠️ Critical Gaps:** - Deep Genesys Cloud CX implementation experience (multi-enterprise migrations) - Required Genesys Cloud CX certifications - Core contact-center telephony/ACD architecture knowledge **✅ Strengths:** - Systems architecture and building production-grade automation - Hands-on AI/LLM deployment and privacy-first AI infrastructure - Strong Python and automation background for integrations and proofs-of-concept **❌ Missing Required:** 4+ years deep Genesys Cloud CX implementations, Genesys Cloud CX: Professional / Architect / Developer certifications, Demonstrated delivery of Architect flows across channels (telephony, email, web messaging), Experience with ACD/telephony routing and workforce management in live deployments

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong Linux, Python, automation, and cloud fundamentals, with proven experience architecting complex systems and integrating open source tools. However, there are notable gaps in direct experience with Kubernetes, Ceph, OpenStack, and Canonical-specific technologies (LXD, Juju, Snaps), which are central to the role. The candidate's fast learning ability and infrastructure background suggest high potential to close these gaps quickly. **⚠️ Critical Gaps:** - Kubernetes - OpenStack - Ceph **✅ Strengths:** - Linux and automation expertise - Python and infrastructure scripting - Architecting and integrating complex systems **❌ Missing Required:** Kubernetes, OpenStack, Ceph

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong match for the Solution Architect role, demonstrating extensive experience in system design, automation, and a clear career progression into AI infrastructure. Key strengths include strong Python, Clean Architecture, and hands-on cloud/containerization (AWS, Docker, Terraform) experience. While specific SaaS products and some Kubernetes flavors are missing, the foundational knowledge and fast-learner profile suggest rapid adaptation. **✅ Strengths:** - Extensive Solution Architecture experience with demonstrable project delivery. - Strong command of core infrastructure (AWS, Docker, Terraform, Linux) and Python programming. - Proven Fast Learner with a clear, upward technical career trajectory. **❌ Missing Required:** Specific SaaS solutions (CloudAMQP, Mongo Atlas, Confluent)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong Systems Architect with 10+ years of experience, demonstrating robust backend, AI infrastructure, and design principles, along with proven leadership and a fast-learner mindset. However, there are critical gaps in Node.js and especially Angular/TypeScript, which are explicit core technologies for this role. **⚠️ Critical Gaps:** - Frontend development (Angular and TypeScript) **✅ Strengths:** - Extensive experience in Systems Architecture, Clean Architecture, and Software Solution Design. - Demonstrated expertise in AI Infrastructure, Generative AI (LLMs), Docker, CI/CD, and RESTful APIs. - Proven leadership, proactivity, and a strong track record as a 'fast learner' with continuous education and building production systems. **❌ Missing Required:** NodeJS (Backend development), Frontend development (Angular and TypeScript), Agile methodologies (Scrum, Kanban)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong system architecture, automation, and AI infrastructure experience, along with a track record of building complex systems. However, the role is explicitly for a Salesforce Solutions Architect, and the candidate lacks any Salesforce-specific experience or the mandatory Salesforce certifications, which are hard requirements for this position. This results in a critical domain mismatch. **⚠️ Critical Gaps:** - Salesforce domain expertise and certifications (Required skill in a completely different domain) **✅ Strengths:** - Strong system architecture and automation skills - Proven ability to build and deploy complex production systems - Fast learner with a clear career progression towards technical leadership **❌ Missing Required:** Salesforce certifications (mandatory), 5+ years of experience in Salesforce Solutions Architect role (mandatory)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems architect with proven on‑prem infrastructure, IaC (Terraform), container experience and automation skills; however, lacks explicit enterprise virtualization, advanced networking (SD‑WAN/LAN/WAN), HA/DR and enterprise security appliance experience that the role requires. Fast learner and founder experience mitigate some gaps, making this a realistic good match if given onboarding/time to upskill. **⚠️ Critical Gaps:** - Enterprise virtualization (VMware/Hyper‑V) - Enterprise networking (LAN/WAN/SD‑WAN) and network segmentation - HA/DR and data center modernization experience - Enterprise firewall/VPN appliance configuration and security operations **✅ Strengths:** - Infrastructure automation and IaC (Terraform + CI/CD) - Hands-on on‑prem cluster design and operations (metal-up, AI clusters) - Strong automation & development skills (Python, scripting) with leadership/owner mindset **❌ Missing Required:** Advanced experience with servers and enterprise virtualization, Proven LAN/WAN and SD‑WAN implementation experience, Demonstrable HA/DR and data center migration projects, Enterprise firewall and VPN configuration experience, Familiarity with Visio/Lucidchart for architecture diagrams (not stated)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match for the Solutions Architect role, possessing extensive systems architecture, cloud infrastructure, and consulting experience. Their proven 'fast learner' ability, continuous career progression, and foundational AWS knowledge with certification in progress make them highly suitable, despite a slight gap in deep, hands-on AWS service expertise. They meet all basic qualifications and most preferred qualifications, including relevant industry experience. **✅ Strengths:** - Extensive experience in Systems Architecture and Cloud Infrastructure (Docker, Terraform, CI/CD, AI clusters). - Demonstrated 'Fast Learner' ability with continuous education and self-taught expertise in complex domains. - Strong consulting and implementation background in software and Internet industries, including relevant domain expertise in Retail/Consumer Goods.

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong Solutions Architect with extensive experience in software engineering, automation, and modernizing business processes, which aligns well with the job's focus on technology. While possessing deep supply chain domain knowledge, they lack direct experience with specific required SAP platforms (APO, BTP) and Microsoft Power Apps, leading to deductions despite their relevant technical foundation. **✅ Strengths:** - Proven experience as a Solutions Architect with a strong software engineering background, aligning with the job's core technical requirements. - Demonstrated success in modernization projects, automating workflows and eliminating manual interventions, directly addressing a key responsibility. - Exceptional 'Fast Learner' with continuous technical progression and deep domain expertise in Supply Chain Analytics and JIT Systems. **❌ Missing Required:** SAP APO, SAP ECC MM, SAP BTP, Microsoft Power Apps

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Candidate demonstrates strong systems thinking and architecture fundamentals with proven ability to build complex automated systems. However, significant experience gap exists: requires 5+ years AWS cloud architecture experience but candidate shows only 'AWS Basics' and primarily local/self-hosted infrastructure. The 10 years of total experience spans supply chain, trading, and e-commerce automation rather than enterprise cloud consulting. Core transferable strengths: automation mindset, Python/scripting, infrastructure-as-code concepts (Terraform listed), and architectural thinking. Critical blocker: lacks enterprise AWS migration experience and client-facing cloud consulting background. **⚠️ Critical Gaps:** - 5+ years cloud architecture experience (has <1 year AWS basics vs. 5+ required) - 5+ years leading application/data center migrations to cloud (no evidence of enterprise migration projects) - 5+ years cloud networking design and migration (limited to basic AWS, no enterprise VPC design) - Client-facing consulting and stakeholder management at enterprise scale (background is self-owned business + freelance, not enterprise consulting) **✅ Strengths:** - Strong systems architecture mindset with proven ability to design self-sustaining automated platforms (JIT inventory achieving 95%+ in-stock with zero maintenance) - Solid automation and scripting foundation (Python, Shell, Docker, Terraform listed) - transferable to IaC and cloud automation - Demonstrated learning agility and 'metal-up' infrastructure thinking - built local AI clusters and self-hosted solutions showing infrastructure interest **❌ Missing Required:** Proven track record of AWS enterprise architecture (required: 5+ years), Large-scale migration leadership experience, Advanced AWS networking (VPC, Transit Gateway, Direct Connect), Professional AWS certifications, Enterprise consulting delivery experience

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Candidate demonstrates strong systems architecture fundamentals and infrastructure experience through e-commerce automation and self-hosted AI deployments. However, this role requires specialized M&A integration expertise (3+ years) and deep enterprise infrastructure stack knowledge that the candidate has not explicitly demonstrated. The candidate's strength in building systems from scratch is valuable, but M&A work demands experience with large-scale enterprise integrations, technology due diligence, and stakeholder management across acquired organizations—domains not evidenced in the resume. **⚠️ Critical Gaps:** - 3+ years M&A technology integration experience (REQUIRED - not demonstrated) - 6+ years integration/divestiture experience in corporate environment (BLOCKING) **✅ Strengths:** - Strong systems thinking and end-to-end architecture design (JIT system, AI infrastructure) - Technical bridge role experience connecting business goals to technical solutions - Self-starter who builds production systems from concept to execution **❌ Missing Required:** M&A activities experience (acquisitions/divestitures), Technology due diligence experience, Subject Matter Expert in infrastructure stack layers, Multi-tiered enterprise architecture design, Corporate environment integration experience (6+ years), Architecture modeling experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong foundational match in architecture thinking, automation design, and systems integration. Candidate demonstrates 10+ years building end-to-end automated systems (JIT inventory, trading bots, AI infrastructure). However, lacks direct experience with enterprise HyperAutomation platforms (UiPath, Automation Anywhere, Power Automate) which are explicitly required. The architectural mindset, Python automation expertise, and proven track record of building self-sustaining systems show strong transferability. At 33 with complex system-building experience, this is a 'career pivot' candidate who could ramp quickly but needs platform-specific training. **✅ Strengths:** - Proven architect of fully automated, self-sustaining production systems (JIT inventory >95% accuracy, zero maintenance) - Strong business-to-technical translation skills from Finance/Supply Chain background - ideal for stakeholder collaboration - Hands-on AI/ML integration experience with privacy-first deployments and local infrastructure optimization **❌ Missing Required:** UiPath/Automation Anywhere/Power Automate (5+ years experience required), Enterprise automation platform architecture, Formal solution architecture experience in enterprise contexts

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong general systems architecture, AI infrastructure, and operational automation skills. However, the role is highly specialized, requiring extensive experience in Tricentis TOSCA and deep SAP ecosystem knowledge, neither of which are present in the candidate's professional history. This constitutes a fundamental domain mismatch. **⚠️ Critical Gaps:** - Tricentis TOSCA expertise (core tool for the role) - SAP architecture and business process understanding (core domain for the role) - Enterprise Test Automation domain experience **✅ Strengths:** - Strong background in general systems architecture and operational automation. - Proficiency in Python and CI/CD methodologies. - Proven ability as a fast learner and builder of production systems. **❌ Missing Required:** Tricentis TOSCA (7+ years), SAP ECC/S/4HANA/Fiori/BW experience, qTest, Live Compare, TOSCA TDM/API testing/distributed execution, Specific SAP modules (Origination, GTM, FI/CO, SD, MM, PP)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate does not meet critical hard filters. They are based in Brazil, and the job requires relocation to Spain (Barcelona). Additionally, the candidate is not bilingual/native in Spanish, which is a hard language requirement for the role. **⚠️ Critical Gaps:** - Geographic relocation (Spain - Barcelona) - Spanish language proficiency (Bilingual/Native) - Genesys Platform Expertise - Contact Center Domain Expertise **✅ Strengths:** - Strong technical leadership and autonomy demonstrated through founding and managing an e-commerce business - Proven fast learner with self-taught expertise in AI infrastructure and algorithmic trading - Solid experience with Python, API integration, and general systems architecture **❌ Missing Required:** Genesys (Cloud, Engage, PureConnect or Enterprise) experience, Experience leading large-scale Contact Center projects, Real experience applying AI in Contact Centers, Integrating Genesys with CRM (Salesforce or others), Integrating Genesys with Google, Azure, IBM cloud platforms

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong match for a Solutions Architect role, bringing extensive experience in system design, automation, e-commerce, and AI infrastructure. Key strengths include a proven track record in technical leadership, business-to-tech translation, and significant experience with CI/CD and cloud basics. The main gaps are missing explicit experience with VTEX platform and frontend technologies like React/TypeScript/Node.js. **✅ Strengths:** - Extensive experience in Systems Architecture, Automation, and AI Infrastructure, including self-hosted LLM clusters and CI/CD pipelines. - Proven ability to translate business objectives into technical solutions, with strong project leadership and e-commerce expertise. - Demonstrated fast-learner capabilities and a clear career progression towards technical/AI roles, aligning well with the role's continuous learning requirement. **❌ Missing Required:** React, Typescript, Node.js, VTEX (Advanced/Specialist)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates exceptional alignment with the technical and leadership aspects of an AI Solution Architect, possessing strong Python, system architecture (including Clean Architecture and inferred microservices), and proven experience in deploying autonomous AI agents and infrastructure. Their career trajectory and fast-learner attributes are highly advantageous. However, the hybrid work model requiring 4 days on-site in São Paulo is a critical geographic restriction that leads to disqualification if not met. **⚠️ Critical Gaps:** - Geographic requirement (hybrid, 4 days in-person in São Paulo/SP) is a hard filter. Candidate is 'Based in Brazil' and it's not specified if they are in São Paulo or willing to relocate for this non-remote role. **✅ Strengths:** - Deep expertise in Python for AI, automation, and system development. - Proven ability to architect and deploy complex autonomous systems and AI infrastructure. - Strong strategic thinking, technical leadership, and a demonstrated fast-learner aptitude with relevant career progression towards AI roles. **❌ Missing Required:** Node.js (for APIs and backend microservices), Cloud AI Platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI), AI Orchestration Frameworks (LangChain, LlamaIndex or similar)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's profile is that of a highly skilled technical architect and engineer with extensive experience in AI infrastructure and systems design. This fundamentally clashes with the requirements of an Executive Assistant role. Several critical qualifications, including the need for a Master's degree and 7+ years of direct C-suite executive support experience, are not met, leading to disqualification. **⚠️ Critical Gaps:** - Fundamental role mismatch (Technical Architect/Engineer vs. Executive Assistant) - Lack of direct, dedicated executive support experience as per job description - Absence of advanced Monday.com expertise, a core required tool **✅ Strengths:** - Exceptional technical proficiency in AI infrastructure and systems architecture - Demonstrated ability as a fast learner and self-starter, continuously acquiring new complex skills - Proven strong project management and systems thinking capabilities (applied in a technical domain) **❌ Missing Required:** 7+ years supporting founders, C-suite executives, or leadership teams (in an EA capacity), Master’s degree or advanced graduate-level degree (or equivalent), Advanced, hands-on experience with Monday.com as an operating system

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents an exceptional technical background with extensive experience in AI infrastructure, systems architecture, and software development, alongside advanced English proficiency and a clear track record as a fast learner. However, the job description is for a hotel receptionist, a role that requires direct hospitality, guest service, and front-desk operational experience, none of which are demonstrated in the candidate's resume. This results in a critical domain and skill mismatch, rendering the candidate unsuitable for this specific position. **⚠️ Critical Gaps:** - Hospitality & Guest Services Domain Experience - Front Desk Operations - Physical Property Security/Management **✅ Strengths:** - Advanced English Proficiency (C2 Certified) - Proven Fast Learner & Continuous Education - Strong Aptitude for Problem-Solving and Systems Automation (in technical domains) **❌ Missing Required:** Experiência como recepcionista

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents strong backend, infrastructure, and AI system experience, demonstrating proficiency in Python, DevOps, and cloud basics. However, a critical gap exists in the core web development stack (JavaScript/TypeScript, React, Next.js) which is central to this Senior Software Engineer role, significantly impacting the match. **⚠️ Critical Gaps:** - Frontend Web Development (JavaScript/TypeScript, React, Next.js) **✅ Strengths:** - Strong infrastructure and backend systems expertise (Docker, CI/CD, Python, Linux) - Proven ability to build production systems from scratch with a focus on automation and ROI - Fast learner with a clear career trajectory towards advanced technical roles (AI/Systems Architecture) **❌ Missing Required:** JavaScript/TypeScript (web application development), React, Next.js, Kubernetes, MongoDB, Azure Cosmos DB, Azure (advanced cloud vivencia), GCP (advanced cloud vivencia)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is disqualified due to not meeting a critical demographic requirement specified in the job description. The position is exclusively for women, and the candidate identifies as male. **⚠️ Critical Gaps:** - Demographic requirement: 'Exclusiva para mulheres' (Exclusive for women)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong technical product builder with finance domain exposure and experience delivering production systems; lacking explicit formal Product Owner artifacts and core tooling (Jira, Scrum/Kanban) but shows fast‑learner potential and transferable skills for a senior PO role. **⚠️ Critical Gaps:** - Jira - Scrum **✅ Strengths:** - Proven delivery of end-to-end production systems (architecture + execution) - Strong technical fluency enabling translation between business and engineering - Relevant finance domain experience (quant bots, financial analysis) and product context **❌ Missing Required:** Domínio na utilização do Jira, Conhecimento profundo em Scrum, Conhecimento profundo em Kanban, Experiência comprovada escrevendo user stories e critérios de aceitação

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating extensive hands-on experience in designing and implementing complex data systems, AI infrastructure, and automation. Their proficiency in core data engineering technologies, coupled with a proven 'Fast Learner' ability and a clear career trajectory into AI/technical roles, makes them highly suitable. While specific mentions of enterprise data quality and governance frameworks are absent, their background strongly suggests the capability to quickly master these areas. **✅ Strengths:** - Extensive experience in designing and building automated, production-grade data pipelines and AI infrastructure. - Strong proficiency and demonstrated application of core data engineering technologies including Python, SQL, Docker, APIs, Cloud concepts (AWS), and Security. - Proven 'Fast Learner' ability and a focused career trajectory towards advanced technical and AI-centric roles. **❌ Missing Required:** Data quality frameworks, Data governance and lineage tracking

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Strong foundational match with significant infrastructure automation experience, but missing critical production-grade DevOps tooling. Candidate demonstrates systems thinking, Python automation, Docker/Terraform basics, and CI/CD understanding. However, lacks required 5+ years in Azure Cloud, production Kubernetes experience, and advanced DevOps toolchain (Jenkins/Azure DevOps/Bamboo). The candidate's entrepreneurial background building automated systems shows learning agility and architectural thinking, but this is a senior specialist role requiring deep hands-on experience with specific enterprise tools. **⚠️ Critical Gaps:** - 5+ years Azure Cloud experience (candidate has 'basic AWS' only) - Production Kubernetes orchestration (candidate has no K8s mentioned) - Advanced Helm Charts deployment experience **✅ Strengths:** - Strong Python automation experience with production systems (e-commerce automation, trading bots, data pipelines) - Proven systems architect with end-to-end ownership (designed and deployed self-sustaining automated inventory system) - Infrastructure as Code foundation (Docker, Terraform, CI/CD pipelines) with local AI clusters showing cloud-native thinking **❌ Missing Required:** Azure Cloud mastery (arquitetura, segurança, governança, otimização de custos), Kubernetes production experience with critical workloads, Helm Charts customization, Enterprise CI/CD tools (Jenkins/Azure DevOps/Bamboo/Travis CI), SonarQube code quality tooling, DevSecOps security scanning tools

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong project management, technical translation, and systems architecture skills. However, a significant gap exists in the core domain of traditional Capital Markets operations (fund processing, asset management, custody services), which is central to this Project Manager role. While the candidate has older, transferable financial experience, their recent career trajectory and lack of specific operational knowledge in these areas result in a weak domain match. **⚠️ Critical Gaps:** - Deep operational knowledge in traditional Capital Markets (fund processing, asset management, custody services) **✅ Strengths:** - Proven ability to bridge business and technical requirements - Strong background in systems architecture and automation - Demonstrated fast learner with a proactive approach to technology **❌ Missing Required:** Strong focus on fund processing, Strong focus on asset management, Strong focus on custody services, Knowledge of operations lifecycle, settlement, VPL calculation, reconciliations, corporate actions, and regulatory requirements specific to traditional capital markets

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's extensive experience and education are entirely focused on Software Engineering, AI Infrastructure, and Systems Integration. In contrast, the job requires specific expertise in Architectural Lighting Design, including design principles, specialized software (e.g., DIALux, Relux), and a relevant project portfolio. There is a complete and fundamental domain mismatch, rendering the candidate unqualified for this role. **⚠️ Critical Gaps:** - Architectural Lighting Design domain expertise - Relevant project portfolio (lighting design) - Specialized lighting design software proficiency - Formal education in Architectural Lighting Design or Interior Design **✅ Strengths:** - Fluent English communication skills - Proven fast learner and self-starter - Demonstrated ability to work independently **❌ Missing Required:** Proven experience as an Architectural Lighting Designer, Strong portfolio of residential projects, Proficiency in lighting design software, such as DIALux, Relux, or similar applications, Strong understanding of lighting principles, techniques, and energy efficiency, Bachelor's degree in Architectural Lighting Design, Interior Design, or related field

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates exceptional technical skills in AI infrastructure, automation, and general systems architecture, with a strong 'Fast Learner' profile. However, the job explicitly requires a background and deep knowledge in Civil Engineering, Architecture, or Building Construction, along with proficiency in specific Autodesk AEC software (AutoCAD, Revit, Navisworks, Autodesk Construction Cloud). The candidate's experience is in a completely different domain, constituting a critical and unbridgeable gap for this consultant role. **⚠️ Critical Gaps:** - AEC (Architecture, Engineering, Construction) domain expertise (including relevant academic formation and practical experience) - Proficiency in core Autodesk AEC software (AutoCAD, Revit, Navisworks, Autodesk Construction Cloud) **✅ Strengths:** - Strong background in AI Infrastructure and System Architecture - Proven ability in automation, scripting (Python, Shell) - Demonstrated 'Fast Learner' and complex problem-solving capabilities **❌ Missing Required:** Formation and acting as Civil Engineer, Architect, or Building Technician, Full knowledge of AutoCAD, Revit (especially .rfa families), Navisworks, and Autodesk Construction Cloud solutions

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Candidate has strong systems-architecture, project delivery, procurement and operations experience plus an engineering degree and MS Office skills, indicating high fast-learning potential; however they lack domain-specific construction/architecture experience (legalization, building codes, on-site execution and project compatibilization) that are central to this senior Architect role. **⚠️ Critical Gaps:** - Legalization / approvals with public agencies (processos de legalização) - Building codes and urbanistic legislation knowledge - On-site construction supervision and execution experience - Project compatibilization across disciplines (arquitetura, estruturas, instalações) **✅ Strengths:** - Engineering degree and broad technical systems architecture background - Proven delivery of complex automated systems and operational processes - Procurement, supply-chain planning and logistics experience relevant to 'Suprimentos e Logística' **❌ Missing Required:** 4–5 years of prior career experience in architecture/construction roles (domain experience), Experience analyzing and approving technical/legal construction projects per normative requirements, Hands-on experience with legalization and approval workflows at municipal/regulatory bodies

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong general architecture, leadership, and automation skills with relevant experience in Python, Terraform, and system design. However, the core requirement for this Senior Cloud Architect role is deep expertise in Oracle Cloud Infrastructure (OCI), which the candidate critically lacks, having no explicit OCI experience or certifications. While a fast learner, this foundational gap makes the candidate a poor fit for a role specifically focused on OCI. **⚠️ Critical Gaps:** - Core Oracle Cloud Infrastructure (OCI) platform expertise **✅ Strengths:** - Strong background in systems architecture and automation (Terraform, CI/CD) - Proven leadership and ability to design complex, self-sustaining systems - Demonstrated fast learner with a strong career trajectory towards technical roles **❌ Missing Required:** Experience in architecture, design and implementation of Oracle Cloud (OCI) solutions, Practical experience with essential OCI tools and services, OCI Certifications, Leadership in multi-cloud migration projects with OCI as a destination

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate, despite having strong technical skills in AI infrastructure and general systems architecture, lacks the fundamental qualifications and experience for an architectural design role. Specifically, the required Bachelor's or Master's Degree in Architecture, extensive architectural design experience, and proficiency in core architectural tools like Revit and Navisworks are entirely missing from their profile. **⚠️ Critical Gaps:** - Bachelor's or Master's Degree in Architecture - 10 to 15 years of experience in architectural design - Experience working on low-rise residential and hospitality projects (private homes and villas, hotels and resorts) **✅ Strengths:** - Exceptional self-taught capability and fast learning in complex technical domains. - Demonstrated ability to architect, build, and automate complex systems from concept to production. - Strong foundation in systems integration and infrastructure (Docker, Terraform, Linux). **❌ Missing Required:** Revit proficiency (including parametric families, freeform modeling, terrain modeling), Strong BIM coordination experience, Solid understanding of construction methodologies, materials, detailing, and multi-disciplinary integration, Navisworks, AutoCAD

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents exceptional systems architecture, automation, Python, and AI infrastructure expertise, coupled with a proven fast-learner ability and relevant career progression. However, a critical gap exists in the required 7+ years of Java application development experience, which is foundational for Red Hat's application services portfolio. While many other skills align or are inferable, this core technology mismatch significantly impacts fit. **⚠️ Critical Gaps:** - 7+ years Java application development, JEE applications, integration services, microservices, and APIs **✅ Strengths:** - Exceptional Technical Acumen & Rapid Learning demonstrated through self-taught AI infrastructure and complex system builds. - Strong Systems Architecture & Automation Expertise with proven track record in designing and deploying production-grade systems. - Relevant experience in Python, CI/CD, Docker, Git, AWS basics, and AI systems design, aligning with modern technical roles. **❌ Missing Required:** Documentation skills, Presentation experience with mid to large-sized audiences, Ability to mentor and train teammates, Red Hat OpenShift (specific container technology), Kubernetes (specific container technology)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates strong architectural, data management, and AI/ML skills, aligning well with the data architect role's core responsibilities and 'Any Cloud' requirement. However, significant gaps exist in specific required platforms like Snowflake/Databricks, Power BI/Tableau, and Data Lakehouse. **✅ Strengths:** - Strong Architectural & Systems Integration experience with significant data involvement - Advanced proficiency and proven application of AI/ML concepts and infrastructure - Exceptional 'Fast Learner' ability and intentional career progression into technical/AI domains **❌ Missing Required:** Snowflake or Databricks (Intermediate, MUST), Power BI or Tableau (Intermediate), Data Lakehouse (Intermediate, MUST)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, hands-on implementation of complex data-intensive systems, and demonstrates exceptional learning agility. However, the resume lacks direct, senior-level experience with corporate Data Lake architecture and the specific suite of GCP data services (BigQuery, Dataflow, Dataplex) explicitly required for this role. While the foundational skills and ability to learn are evident, the immediate fit for a Senior Data Architect specializing in GCP is not ideal. **✅ Strengths:** - Exceptional hands-on system design and implementation of complex, data-driven solutions. - Strong foundational knowledge in data management principles, automation, and AI infrastructure. - Demonstrated 'fast learner' ability, with a clear career progression into advanced technical and architectural roles. **❌ Missing Required:** Proficiency in specific GCP Data Services (BigQuery, Dataflow, Composer, Cloud Storage, Dataplex), Experience with corporate Data Lake design, implementation, and orchestration using GCP tools

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture and e‑commerce operational experience (JIT, ERP integrations) plus Python, Docker, Terraform and CI/CD show fast-learning, hands-on delivery ability; however the resume lacks enterprise marketplace/platform experience, major microservices stacks (Java/Spring), JS frontend ecosystems, Kubernetes, and deep cloud/platform experience expected for a senior 15+ year role. **⚠️ Critical Gaps:** - Enterprise Marketplace / Platform experience (Mirakl, Magento, SAP Hybris etc.) — role requires marketplace credibility - Demonstrated 15+ years of large-scale solution architecture and consultative selling (client-facing leadership) - Java + Spring Boot microservices expertise (commonly required in their stacks) - Kubernetes (production orchestration) — critical for modern DevOps/infra expectations **✅ Strengths:** - Systems architecture for e‑commerce operations and JIT supply-chain automation - Hands-on Python engineering and automation (data pipelines, production bots, LLM experimentation) - Infrastructure & IaC experience (Docker, Terraform, Linux) showing ops-to-dev bridge **❌ Missing Required:** Marketplace-specific platform experience (Mirakl, Magento, Shopify Plus, SAP Hybris, Oracle Commerce), Java (or equivalent listed languages) in production at enterprise scale, Microservices frameworks (Spring Boot, MuleSoft or similar) explicitly, Production Kubernetes experience, Front-end JS frameworks (React/Angular) or Node.js

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong system architecture, infrastructure, and automation skills with a proven track record of building complex, resilient systems. However, there is a critical gap in required frontend technologies (React/Angular) and essential backend language experience (PHP/Laravel), which are core requirements for this System Architect role. Despite strong foundational and inferred skills, these missing core competencies lead to disqualification. **⚠️ Critical Gaps:** - Frontend development (React, Angular) **✅ Strengths:** - Strong System Architecture and Infrastructure expertise (Docker, Terraform, Linux, CI/CD). - Proven track record in building and deploying complex, automated, and resilient systems. - Excellent analytical and systemic vision with demonstrated technical leadership and a 'Fast Learner' aptitude. **❌ Missing Required:** PHP (especially Laravel), React, Angular, Agile methodologies (Scrum and Kanban)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a strong background in Python, Docker, CI/CD, and general cloud/security concepts, with a clear career progression towards AI infrastructure. However, the critical lack of experience in Azure and Google Cloud, coupled with missing specific architectural modeling (C4 Model) and Microsoft automation tools (Power Automate/LogicApps), significantly impacts the match for a Solution Architect role requiring multi-cloud and specific tool proficiency. **⚠️ Critical Gaps:** - Azure - Google Cloud **✅ Strengths:** - Strong Python and automation capabilities with demonstrated project delivery. - Proven Fast Learner with a clear career trajectory into technical/AI roles. - Solid foundation in Docker, CI/CD, and general cloud/security principles. **❌ Missing Required:** C4 Model, Kubernetes mastery, Microsoft Power Automate, LogicApps