Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] Candidate shows strong, demonstrated skills in core SRE areas like Kubernetes, AWS, observability, and Linux. The impressive self-built platform is a major strength. However, the score is capped due to the explicit requirement for Java/JVM administration experience, which is a listed gap. **Strengths:** Kubernetes/EKS, AWS, Observability Concepts, Systems Architecture, Linux **Missing Required:** Java/JVM administration, Experience with Java

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate's Mechatronics degree provides a baseline understanding of PLCs, but this is outweighed by a critical domain gap. The role requires experience in railway-specific electrical design and control systems, which is entirely absent from the resume. The focus on software and business automation is a poor match for this hardware-centric position. **Strengths:** Engineering degree, PLC concepts, English fluency **Critical Gaps:** Railway electrical/control systems domain **Missing Required:** Experience or understanding of electrical and schematic design activities, preferably in railway

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] Candidate strongly matches the required experience in infrastructure, networks, servers, and advanced support. The profile demonstrates deep systems knowledge. The score is high, but capped as the candidate lacks 'nice-to-have' enterprise certifications like ITIL or Cisco. **Strengths:** Infrastructure management, Systems integration, Advanced technical support, Cloud knowledge, Security concepts

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The role requires fluent English, an engineering degree, and familiarity with the IVVQ process, which are partial matches. However, it has a critical focus on hardware-specific domains like RF signals, military/space standards, and simulation tools (Pspice, MATLAB, VHDL) where the candidate has no experience. This domain mismatch results in a low score. **Strengths:** Engineering degree, English fluency, Python, C/C++ **Critical Gaps:** Hardware/RF/Signal Processing domain **Missing Required:** Familiarity with circuit simulators, Familiarity with MATLAB/Simulink/VHDL

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] This is a generic 'Systems Engineer' role at a large fintech, and the candidate matches the high-level requirements like systems architecture, monitoring, and software development. The score is capped because the role is vague, implying a potential need for enterprise-specific tools or processes not listed on the resume. The lack of a CS degree is also a potential filter. **Strengths:** Systems architecture, Software development (Go, Python, JS), Security practices, Cloud familiarity **Missing Required:** Computer Science degree

[ANALYSIS_REPORT] **TOP** [2.5-Pro] The candidate is a very strong match for this role, which sits at the intersection of industrial automation, systems engineering, and data. The required Linux (Red Hat), Oracle/SQL database, and scripting skills are all present and demonstrated. Experience with industrial protocols (Modbus), system commissioning (FAT/SAT), and process automation aligns perfectly with the candidate's background in both hands-on systems building and supply chain/ERP work. **Strengths:** Strong Linux & scripting experience, Oracle and SQL Server experience with SQL scripting, Systems integration and automation background (Modbus is transferable), Brazil-based for a Brazil-focused role

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The score is capped at 40 due to a critical gap: the role explicitly requires 8+ years of experience in a Managed Service Provider (MSP) environment. The candidate has over a decade of technical experience, but none of it is within an MSP context, which involves managing multiple external clients' infrastructures simultaneously. While there is overlap in technical skills (M365, Azure, virtualization, networking), the MSP context is a hard requirement and a fundamental mismatch in work environment and business model. **Strengths:** Advanced systems experience (virtualization, servers), Cloud proficiency (Azure), Networking background, Client-facing skills (from freelance consulting) **Critical Gaps:** 8+ years of experience in a Managed Service Provider (MSP) environment **Missing Required:** 8+ years of experience in a similar MSP environment

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The candidate is a strong fit for this role, which centers on core infrastructure skills. The required expertise in VMware, Linux administration (RHEL mentioned), and network management (DNS, DHCP, TCP/IP) are all well-documented in the candidate's profile, particularly through the job intelligence platform project. The focus on monitoring, troubleshooting, and root cause analysis aligns perfectly with the candidate's demonstrated systems-thinking and problem-solving approach. **Strengths:** Linux administration (RHEL equivalent), Virtualization experience (transferable to VMware), Network Management (DNS, TCP/IP), Strong troubleshooting and Root Cause Analysis skills **Missing Required:** Direct experience with vSphere 6.5-8 (inferred)

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This role is an excellent fit, playing directly to the candidate's core strengths in systems engineering, virtualization, cloud, and directory services. The required experience with VMware, Active Directory (adjacent to OAuth/SSO skills), Azure, and Windows Server administration is strongly supported by inferred skills from the candidate's complex projects. The emphasis on remote work, systems ownership, and solving complex challenges aligns perfectly with the candidate's demonstrated work style and freelance background. **Strengths:** Strong virtualization experience (transferable to VMware), Azure infrastructure experience, Identity management (OAuth/OIDC is a strong adjacent skill to Azure AD), Brazil-based for a remote role based in Brazil

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate is a very strong match for this client-facing AI engineer role. The job requires hands-on engineering to build and deploy LLM-powered solutions, strong Python skills, and experience with RAG, prompt engineering, and cloud deployment—all of which are explicitly detailed in the candidate's 'Job Intelligence Platform' project. The candidate's background in bridging business and tech (e.g., as a freelance consultant) aligns perfectly with the need to work directly with clients, scope projects, and translate business needs into technical plans. **Strengths:** Proven experience building and deploying a production-grade GenAI solution (RAG, prompt engineering), Expertise in Python, LLM APIs (OpenAI, Gemini), and vector search, Client-facing and business-technical translation skills, Experience deploying systems to the cloud (Linux, Docker) **Missing Required:** US work authorization (Role is Remote US)

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This is a strong fit, as the role requires a principal engineer to design testing architecture for complex, distributed AI systems. The candidate's experience architecting and deploying an entire AI platform, including an orchestrator, data pipelines, and AI model integration, demonstrates the required systems-level thinking. Expertise with Python, CI/CD, Docker, and testing methodologies (even if not with specific frameworks like Pytest/Playwright) is evident. The focus on reliability and building testable systems is a core theme of the candidate's work. **Strengths:** Experience building and testing complex, distributed AI systems, Expertise in Python, CI/CD, Docker, and cloud platforms, Deep understanding of system architecture and reliability, Experience with LLM integrations and model validation **Missing Required:** 10+ years of experience in software quality engineering/testing (candidate has 12+ years of technical experience, but not specifically in testing)

[ANALYSIS_REPORT] **TOP** [2.5-Pro] The candidate's profile is an exceptional match for this forward-looking Staff SRE role. The position explicitly calls for a proactive, entrepreneurial mindset to drive automation using AI, AI agents, and frameworks like LangGraph to improve data platform reliability—this aligns perfectly with the candidate's recent work building an AI-powered job intelligence platform. The required skills in automation, performance optimization, incident management, and architectural leadership are all demonstrated strengths. The candidate's experience with PID-control for prompt tuning shows a deep, innovative approach to system reliability that is exactly what this role is seeking. **Strengths:** Proven experience building AI-driven automation systems, Deep understanding of system reliability, performance optimization, and architectural design, Proactive and entrepreneurial mindset demonstrated by founding a business, Experience with both software engineering and infrastructure management

[ANALYSIS_REPORT] **TOP** [2.5-Pro] An exceptionally strong match across all responsibilities, from building internal automation APIs to integrating AI and ERP systems. The candidate's entire career trajectory and recent projects align perfectly with the role's needs. The score is capped slightly below 100 only due to the absence of specific named tools like Kafka or Airflow, though the candidate demonstrates experience with the underlying concepts. **Strengths:** Internal tools development, Automation orchestration, AI/LLM integration, ERP/Business system integration, Python/Node.js

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The role requires a mix of Java/Python development, data pipelines (Airflow), GenAI application, and cloud experience, which aligns very well with the candidate's skills. The candidate's hands-on work with LLM APIs and building data-driven platforms is a strong plus. The score is capped as Airflow is a specific required tool the candidate only has conceptual adjacency to via their custom orchestrator. **Strengths:** Python development, Generative AI application, Cloud platforms (AWS), Systems architecture, Data pipelines (conceptual) **Missing Required:** Experience with automation of processes and orchestration of workflows (ex: Airflow)

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The candidate is a strong fit for this role, which explicitly asks for using IA as a co-developer, designing microservice architecture, and coding in Python. The experience with AWS, CI/CD, and security practices are all direct matches. The score is capped due to a required frontend technology (React Native) that the candidate does not possess. **Strengths:** Python (FastAPI), AI-assisted development, Microservice architecture, AWS, CI/CD (Azure DevOps/GitHub Flow) **Missing Required:** React Native

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This role for a Python Developer with AI integration is an excellent match for the candidate's recent experience. Key requirements like Python, AWS Lambdas, API creation, and LLM integration are all strongly demonstrated in the candidate's portfolio. The score is capped because the candidate is missing some desirable skills like Terraform and asynchronous programming expertise. **Strengths:** Python, AWS Lambda/StepFunctions, LLM integration in APIs, API Development (REST), Systems Design with AI

[ANALYSIS_REPORT] **TOP** [2.5-Pro] Candidate is a very strong match for this AI Engineer role, with demonstrated experience in Python, GenAI frameworks (LangChain), RAG architectures, and cloud environments (AWS). The responsibilities align perfectly with the candidate's recent projects. The score is capped as the role lists 'LangGraph' and 'Agno' as specific examples of frameworks, which are not on the resume, preventing a perfect keyword match. **Strengths:** Python, GenAI Frameworks (LangChain), RAG Architecture, LLM-based Agents, Cloud (AWS/GCP)

[ANALYSIS_REPORT] **TOP** [2.5-Pro] The role is a perfect thematic fit, requiring a blend of Software Engineer, SRE, and Architect skills with a focus on AI, Python/Java, GCP/AWS, and n8n. The candidate's experience with Go (similar to Java in this context), Python, AWS, and building an orchestrator (similar to n8n) is a strong match. The score is capped as Java is a specific language requirement the candidate does not have, and the role is for a specialist level. **Strengths:** AI Agents & Multi-agent concepts, Python, GCP/AWS, n8n (conceptual match with orchestrator), CI/CD and Distributed Systems **Missing Required:** Dominio de Python e Java

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate has foundational skills in SQL, data concepts, and CI/CD. However, this is a specialized Data Engineer role focused on a specific tech stack: Azure Data Factory (ADF), Snowflake, and DBT. The candidate has no listed experience with any of these core technologies, resulting in a critical gap and a low score. **Strengths:** SQL, CI/CD (GitHub), Data validation concepts **Critical Gaps:** ADF, Snowflake, and DBT stack **Missing Required:** Experiência em Azure Data Factory (ADF), Domínio de DBT e Snowflake

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This is a very strong match. The role requires a hands-on Big Data Engineer with strong Python, AWS data services (Glue, Lambda), and SQL skills to maintain and build data pipelines. The candidate's experience building a job intelligence platform involved a custom orchestrator, data pipelines, and a database (PostgreSQL), demonstrating all the core competencies. Experience with CI/CD, IaC concepts, and pipeline reliability are also clearly shown in the candidate's project. **Strengths:** Strong hands-on Python for data processing, Advanced SQL skills, Experience building and maintaining data pipelines (inferred AWS Lambda skills), CI/CD and Infrastructure-as-Code mindset

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The score is capped at 70 due to a critical language mismatch. The role requires expertise in Java for distributed systems, whereas the candidate's primary language is Go, with Python as a secondary. While the conceptual knowledge of cloud services (AWS ECS, Lambda), CI/CD (GitHub Actions), Docker, and event-driven architecture is a strong match, the specific programming language requirement is a major gap that the ATS and recruiters will likely flag as critical. **Strengths:** Solid knowledge of AWS services, Experience with Kubernetes/Docker and CI/CD, Understanding of RESTful and event-driven architecture, Experience mentoring and working in collaborative teams **Critical Gaps:** Primary language mismatch (Java required, candidate is Go/Python) **Missing Required:** Expertise in Java for developing distributed systems

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The candidate's profile aligns well with this role's focus on data integration, SDLC, SQL, and CI/CD. The experience building a complex, automated job intelligence platform from scratch demonstrates a strong understanding of the full software development lifecycle and data workflows. Skills in SQL, NoSQL (inferred from using multiple DB types), CI/CD, and API integration are all present and accounted for. The role is general enough that specific tool experience (ETL tools, specific cloud) is less critical than the foundational skills. **Strengths:** Strong understanding and practical application of SDLC, Advanced SQL knowledge, Hands-on experience with CI/CD tools and pipelines, Experience with both SQL and NoSQL concepts **Missing Required:** Minimum of 3 years of professional experience in data integration or a similar domain (candidate's experience is broader)

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The score is respectable but capped because the role is for a UiPath specialist, and the candidate's experience is with other automation tools (Puppeteer, n8n, Zapier, Make.com) and custom-coded solutions (Go, Python). While the candidate is an expert in automation, the lack of specific UiPath and C# experience is a significant gap. The ATS will see a strong conceptual match on 'RPA' and 'automation' but will flag the missing required tool. **Strengths:** Extensive automation experience, Web automation (Puppeteer), API integration, Experience with version control (Git) and collaborative development **Critical Gaps:** UiPath platform experience **Missing Required:** 3+ years of professional UiPath development experience

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate has strong architectural skills, cloud experience (AWS), and familiarity with APIs. However, this is a highly specialized role focused on a large-scale Oracle EBS to SAP S/4HANA migration. The candidate lacks the critical, mandatory experience with SAP (S/4HANA, CPI, IDoc, BAPI) and Oracle EBS, which is the entire basis of the job. **Strengths:** Systems architecture (DDD, event-driven), API Design, AWS, Multiple programming languages **Critical Gaps:** SAP S/4HANA migration experience, Oracle EBS experience **Missing Required:** Forte domínio e experiência em integração de legados para SAP/4HANA, Experiência em migração Oracle EBS para SAP S/4HANA

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This role is a superb fit. It requires a Senior Data Engineer with strong Python, SQL, and experience building robust, scalable data pipelines in a cloud environment (AWS/GCP), using tools like Airflow/Dagster and Databricks/Snowflake. The candidate's 'Job Intelligence Platform' project is a perfect demonstration of these skills, involving data scraping (ETL source), a custom orchestrator (like Airflow), a database (PostgreSQL, similar to Snowflake), and Python-based processing. The emphasis on leading projects, technical reference, and best practices aligns with the candidate's senior, architectural mindset. **Strengths:** Consistent experience as a de-facto Data Engineer, Strong knowledge of software development (Python, Git, CI/CD, Docker), Expertise in SQL and ETL/ELT process design, Hands-on knowledge of cloud environments (AWS)