Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This role is a bullseye match. It requires a backend engineer with a focus on Go, building large-scale observability systems for AI, and familiarity with agents/LLMs/n8n. The candidate's experience with Go, building custom orchestrators, and AI integration is precisely what is needed. The score is capped because the role is at Mercado Livre, implying massive scale and competition where any minor gap is magnified. **Strengths:** Go development, Observability tools (conceptual), Agents, LLMs, n8n, Microservice architecture at scale, Kubernetes & Cloud

[ANALYSIS_REPORT] **HIGH** [3-pro] Strong alignment on actual day-to-day requirements: web crawlers, Python/bash, Linux, and Docker. The candidate's recent production scraper project perfectly demonstrates the 'scrappy' data acquisition they need. However, the lack of a formal CS degree caps the ATS score. **Strengths:** Web crawlers/Puppeteer, Docker/Linux, Python/bash scripting **Missing Required:** BS/MS/PhD in Computer Science

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This role for a DevOps/Automation Engineer focused on n8n scalability is a perfect match for the candidate's demonstrated skills. It requires expertise in Linux, Docker, RabbitMQ, and Traefik, all concepts the candidate has worked with. The added focus on integrating LLMs/RAG into n8n for marketing is a direct hit with the candidate's recent projects. The score is capped because it's a senior role demanding proven expertise in a self-hosted n8n environment at scale, which is a very specific niche. **Strengths:** n8n high-availability architecture (RabbitMQ/Redis), Docker/Docker Compose, Traefik (Reverse Proxy), LLM/RAG integration, DevOps & Infrastructure Management

[ANALYSIS_REPORT] **MEDIUM** [3-pro] The candidate has strong practical experience with Python, LLM frameworks, Docker, and prompt engineering. However, the requirement for 5+ years specifically in Python SWE and solid SOLID principles might be flagged by ATS given the candidate's non-traditional title history. **Strengths:** LLM application architecture, Python, Cloud databases **Missing Required:** 5+ Years Python SWE title

[ANALYSIS_REPORT] **TOP** [3-pro] Excellent skill match for a founding role. Requires Go, Python, AWS, and AI agent orchestration, which directly mirrors the candidate's recent production project. Missing Next.js and MongoDB, but the architectural and systems-thinking alignment is extremely strong. **Strengths:** Go and Python microservices, AI agent frameworks/orchestration, AWS/Linux/Infrastructure

[ANALYSIS_REPORT] **LOW** [3-pro] The role requires strong programming skills in Java, which the candidate completely lacks. While there is Python and AI usage, Java is a core requirement for their backend enterprise solutions. **Strengths:** Python, UNIX shell scripting, Agentic AI **Critical Gaps:** Missing Java programming skills **Missing Required:** Java

[ANALYSIS_REPORT] **HIGH** [3-pro] Strong alignment on actual day-to-day requirements: web crawlers, Python/bash, Linux, and Docker. The candidate's recent production scraper project perfectly demonstrates the 'scrappy' data acquisition they need. However, the lack of a formal CS degree caps the ATS score. **Strengths:** Web crawlers/Puppeteer, Docker/Linux, Python/bash scripting **Missing Required:** BS/MS/PhD in Computer Science

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The role requires designing and developing infrastructure for AI systems, which is a strong match. Key technologies like Kubernetes, containers, LLMs, N8N, and REST APIs are all within the candidate's experience. The score is capped because the role specifically lists 'Kong Gateway' and 'Milvus' vector DB, which are tools the candidate has not listed, creating a minor keyword gap. **Strengths:** AI Infrastructure Design, Kubernetes and containers, LLMs (GPT, Gemini), N8N (Automation), REST APIs

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This role is a very strong conceptual match. It requires a specialist in infrastructure automation (Ansible, Terraform) and AIOps, using observability data to trigger actions. The candidate's profile as a systems builder who automates processes and has a deep understanding of infrastructure and monitoring aligns perfectly. The score is capped because the candidate lacks experience with specific enterprise automation tools like Ansible/Puppet/Chef and formal AIOps platforms. **Strengths:** Infrastructure Automation (concepts), Observability (concepts), AI applied to operations, Python/Bash scripting, Problem-solving in critical environments **Missing Required:** Conhecimento avançado em ferramentas de automação como Ansible, Terraform, Puppet, Chef

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] This SRE role has some overlap with the candidate's skills, such as automation, observability, CI/CD, and container orchestration (Kubernetes). However, it requires 5+ years of experience and is in a specialized domain (vision computacional, MLOps, on-premise remote infrastructure via satellite). The score is capped due to the candidate lacking this specific domain experience and the required years in a formal SRE role. **Strengths:** Automation mindset, Observability concepts, CI/CD (GitHub Actions), Kubernetes, Linux **Missing Required:** Histórico de mais de 5 anos aplicando desenvolvimento de software e no design de arquitetura de sistemas

[ANALYSIS_REPORT] **LOW** [3-pro] Candidate possesses strong GenAI workflow and system architecture skills, but lacks the formal 8+ years Solutions Architecture title and specific frameworks like Vercel AI SDK and MCP required by this talent network. **Strengths:** TypeScript/JS, RAG architectures, Agentic GenAI workflows **Critical Gaps:** 8+ years professional Solutions Architecture experience **Missing Required:** 8+ years Solutions Architecture

[ANALYSIS_REPORT] **LOW** [3-pro] Duplicate of job 4374106230. Missing Snowflake Cortex and strict 8+ years AI/ML specific title requirements. **Strengths:** Python, LLM APIs, LangChain **Critical Gaps:** 8+ years specific AI/ML architecture title experience **Missing Required:** Deep Snowflake experience

[ANALYSIS_REPORT] **LOW** [3-pro] This is a pre-sales, advisory role at a massive enterprise (Lenovo). The candidate is a hands-on technical architect and builder, lacking the specific enterprise pre-sales consulting background required here. **Strengths:** AI solution development, Cloud platforms **Critical Gaps:** Pre-Sales experience **Missing Required:** Pre-Sales experience

[ANALYSIS_REPORT] **LOW** [3-pro] Duplicate of job 4369575936. Pre-sales advisory role at Lenovo. **Strengths:** AI solution development, Cloud platforms **Critical Gaps:** Pre-Sales experience **Missing Required:** Pre-Sales experience

[ANALYSIS_REPORT] **LOW** [3-pro] Requires deep AWS Bedrock and AWS BigData specialization, as well as 8+ years of explicit data architecture experience. The candidate uses AI APIs but does not specialize deeply in enterprise AWS BigData pipelines. **Strengths:** AI & Data Strategy, Automation **Critical Gaps:** Enterprise Data Architecture at scale **Missing Required:** 8 years in relevant related skills

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This Technical Lead role is an excellent match. It requires leadership in designing scalable systems, automation, observability, and implementing generative AI, all of which are core strengths of the candidate. Proficiency in Python, Go, and cloud services are direct hits. The score is capped because the role also requires React, a frontend framework the candidate does not have. **Strengths:** Technical Leadership, System Architecture, Python & Go, Generative AI & Agents, Automation & Hardware Interaction **Missing Required:** Dominar as linguagens de programação Python, Go e React

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] This is a highly ambitious and challenging role that aligns with the candidate's 'builder' profile. It requires hands-on coding in Python for AI/NLP, experience with LLMs, and architecture for low-latency systems. The candidate's skills are a strong match on the backend and AI side. The score is capped due to a critical gap in 3D technologies (Unity/Unreal/WebGL) and motion capture pipelines, which are co-equal requirements of the job. **Strengths:** Python (AI/backend), LLMs and fine-tuning, Low-latency inference systems, Distributed architecture, AWS **Critical Gaps:** 3D Real-time Rendering (Unity/Unreal) **Missing Required:** Unity ou Unreal (avatar 3D), WebGL / rendering pipelines

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] The candidate has strong Python, AI/LLM, and retail (e-commerce) domain experience, which match the core requirements. However, the lack of specific infrastructure tools like Databricks and Oracle caps the ATS score. The non-traditional management background (Co-founder vs Tech Lead) will also cause semantic friction in standard ATS parsers. **Strengths:** Python, AI/LLM integration, Retail/E-commerce domain **Missing Required:** Databricks, Oracle

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Strong match on Python, Machine Learning fundamentals, and English fluency. However, the ATS will flag the lack of formal corporate 'Software Engineer' titles over the requested 3+ years. Cloud deployment experience is present but not deeply enterprise-standard. **Strengths:** Python, English fluency, Applied AI solutions **Missing Required:** 3+ years formal AI/ML corporate experience

[ANALYSIS_REPORT] **LOW** [3-pro] Duplicate of job 4374148975. FullStack AI-focused SA. **Strengths:** TypeScript/JS, RAG architectures, Agentic GenAI workflows **Critical Gaps:** 8+ years professional Solutions Architecture experience **Missing Required:** 8+ years Solutions Architecture

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] The ATS will immediately flag a critical gap regarding the '2 years as Security Architect' requirement. While the candidate has LLM experience, they lack formal enterprise cloud architecture (AWS/Azure/GCP at scale) and specific threat modeling frameworks like STRIDE or OWASP. **Strengths:** LLMs, AI APIs **Critical Gaps:** 2 years as Security Architect **Missing Required:** Security Architecture experience

[ANALYSIS_REPORT] **LOW** [3-pro] Duplicate of job 4374148975. FullStack AI-focused SA. **Strengths:** TypeScript/JS, RAG architectures, Agentic GenAI workflows **Critical Gaps:** 8+ years professional Solutions Architecture experience **Missing Required:** 8+ years Solutions Architecture

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] The candidate lacks almost the entire required core technology stack for this role, specifically JVM languages, SpringBoot, Kafka, and Kubernetes. The ATS will categorize these as critical gaps, heavily capping the score despite the presence of desired Python and GenAI skills. **Strengths:** GenAI, Prompt Engineering, Python **Critical Gaps:** JVM Languages, SpringBoot, Kafka, Kubernetes, 3 years GCP/AWS/Azure **Missing Required:** JVM Languages, Kafka, Kubernetes

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] The candidate has excellent Python and LLM orchestration skills, but lacks the highly specific Amazon Lex (V1/V2) and deep AWS Serverless (Secrets Manager, SageMaker) requirements. The ATS will reduce the score based on these missing proprietary AWS technologies. **Strengths:** Python, LLM Integration, Serverless concepts **Missing Required:** Amazon Lex V1 or V2

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Strong match for GenAI, LLMs, RAG, Python, and SQL. However, the ATS will cap the score due to missing enterprise data tools like Azure, Databricks, Data Factory, and MLOps/AgentOps specific platforms. **Strengths:** GenAI, RAG, Python, SQL **Missing Required:** Azure, Databricks, Data Factory