Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Moderate match for a Junior Systems Architect: candidate’s mechatronics background and industrial systems exposure align with the role, but Azure cloud experience is not shown. ATS will pick up the relevant engineering degree and industrial domain signals but discount cloud specifics. **Strengths:** Industrial systems knowledge (MES/PIMS/SCADA context), Engineering degree in control/automation, Systems thinking and integration experience

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] ATS detects strong Python, SQL, AWS, and data pipeline experience, but lacks explicit Databricks and PySpark production experience. Candidate demonstrates transferable skills in distributed data processing and cloud ops, but missing Databricks/PySpark caps score. Recency and scale of automation projects boost match. **Strengths:** Python pipelines, AWS, SQL **Missing Required:** Databricks, PySpark

[ANALYSIS_REPORT] **LOW** [Copilot: GPT4.1] ATS detects no 10+ years in data engineering, Azure/Synapse/Databricks/Snowflake, or advanced data modeling/governance. Candidate demonstrates automation and analytics, but critical gap in years and domain expertise. Score capped at 40 due to critical gap. **Strengths:** Automation, analytics, integration **Critical Gaps:** No 10+ years data engineering **Missing Required:** 10+ years data engineering, Azure/Synapse/Databricks/Snowflake

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] ATS detects strong backend, infrastructure, Linux, Docker, and SQL experience, but lacks explicit Python production experience and cybersecurity domain. Candidate demonstrates automation and high-volume data ops, but missing Python/cybersecurity caps score. Recency and scale of backend projects boost match. **Strengths:** Backend infrastructure, high-volume data ops, automation **Missing Required:** Python, cybersecurity

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] ATS sees a solid match on Python, SQL, Git/CI-CD, Linux and automation, with relevant production systems experience. The main deficits are lack of explicit PHP and C#/.NET plus ELK/Power BI, which are listed as required/familiarity items. Non-traditional titles slightly weaken the match but location and language fit well. **Strengths:** Python used in real automation and data projects, Strong SQL/PostgreSQL and data remediation background, Hands-on CI/CD, Docker, Linux and production support experience **Missing Required:** PHP, C#/.NET

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Poor fit for an ASP.NET senior engineer: lacks C#/.NET and MS-SQL server/ASP.NET experience required by the role, despite strong backend engineering in Go. ATS will downgrade heavily for missing core .NET stack skills. **Strengths:** Backend systems design, SQL and automation, Production deployment experience

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS sees a decent match on SQL, automation, CI/CD and Agile-like workflows but no explicit NoSQL or ETL/data-integration tooling. The requirements lean toward classic data-integration specialist experience, whereas the profile is more systems/automation and LLM pipelines. Titles do not mention Data Engineer, which further weakens alignment in an enterprise setting. **Strengths:** Advanced SQL and data modeling from ERP and trading systems, End-to-end automation and data workflow design experience, Solid CI/CD and version-control practices **Missing Required:** NoSQL database experience

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Weak match: role centers on Avaloq Core Banking experience and domain specifics the candidate does not show, despite SQL and integration skills. ATS will likely de-prioritize due to missing Avaloq/banking platform evidence. **Strengths:** SQL, Integration experience, Finance domain exposure **Critical Gaps:** Platform-specific Avaloq experience missing

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] Technically, ATS sees good overlap on Node.js/JavaScript, Python, SQL, Docker, AWS fundamentals and CI/CD, but no explicit TypeScript, Kubernetes, or modern frontend framework. The role explicitly expects 5–8+ years of software engineering experience and modern frontend expertise, which are not clearly labeled in the titles. This creates a skills/title mismatch despite strong backend systems work. **Strengths:** Backend web and systems engineering with Node.js/Go and production deployment, Strong SQL/PostgreSQL and data-flows experience, CI/CD and containerization with a focus on performance and reliability **Missing Required:** Demonstrated years as titled Software Engineer

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Poor match for C# Pleno: lacks C#/.NET and Microsoft stack experience though shows general backend skills and SQL knowledge. ATS will downrank because role requires concrete .NET platform experience. **Strengths:** SQL knowledge, Backend architecture, Automation and secure coding mindset

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Strong match: candidate has Go and Python, deep systems thinking and production orchestration experience, matching distributed storage role’s language and systems expectations. ATS will rank highly for Golang/Python and architecture experience. **Strengths:** Go production services, Systems design for constrained infra, Experience with orchestration and performance tuning

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Weak match for a transformer monitoring electrical engineering role: candidate’s mechatronics degree is relevant but lacks power-transformer-specific experience listed in the JD. ATS will heavily weight discipline-specific power systems experience and tooling, which are missing. **Strengths:** Engineering background (Mechatronics), Analytical and project execution skills

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] ATS detects Python and Go experience, but candidate lacks the core required skills: Ceph, block storage, MinIO, Mayastor, OpenStack, CloudStack, or Kubernetes. The JD explicitly requires distributed storage platform experience which is a critical gap. Systems architecture and automation skills are present but insufficient to offset missing domain-specific expertise. **Strengths:** Go production experience (webserver, orchestrator), Python proficiency, Systems architecture mindset **Critical Gaps:** Ceph/block storage/MinIO/Mayastor experience, Kubernetes, Distributed storage platform development **Missing Required:** Ceph or similar distributed storage, Kubernetes/OpenStack/CloudStack, Technical leadership title

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS finds some overlap on Python, JavaScript, SQL and AWS fundamentals but sees major gaps on Snowflake, dbt, Dagster/Airbyte and modern BI tooling. The position is strongly centered on a specific cloud data warehouse/ETL ecosystem that is absent from the profile. Titles also do not convey prior Data Engineer experience. **Strengths:** Proven data pipeline and automation work across ERP and scraping systems, Python/JavaScript skills for data-related services, Experience designing systems for performance and cost efficiency on constrained infrastructure **Missing Required:** Cloud data warehouse expertise (Snowflake), Modern ETL/orchestration stack (dbt/Dagster/Airbyte)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS recognizes a good Python and backend match plus CI/CD and testing mindset, but sees no explicit React experience and limited AWS depth or infrastructure-as-code. The employer (BairesDev) is large consulting/outstaffing, which tends to emphasize exact stack keywords and traditional engineering titles. Non-traditional titles and missing React are significant weaknesses. **Strengths:** Strong Python background applied to trading, automation and job-intelligence systems, Robust CI/CD, testing discipline and code quality mindset, Experience building full-stack systems (backend + vanilla JS frontend) from scratch **Missing Required:** Production React frontend experience, Concrete experience with AWS production workloads

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This variant of the Senior Data Integration Engineer role shares the same core profile as Job 2: strong SQL and automation, but no explicit NoSQL or ETL/data-integration stack. ATS will see enough overlap to consider it but will still rank true data-integration specialists higher. The SDLC-heavy, consulting-oriented wording further mismatches the candidate’s systems/AI focus. **Strengths:** Advanced SQL and data modeling for operational systems, Experience designing and monitoring data workflows and pipelines, CI/CD experience and disciplined engineering practices **Missing Required:** Hands-on NoSQL database experience

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate lacks the entire Microsoft ecosystem required (Azure, TFS, C#, Powershell). The ATS will penalize heavily for missing these core technologies despite having inferred Linux/Docker experience. Complete mismatch in technical domain triggers the maximum score cap. **Strengths:** Docker, Linux, CI/CD **Critical Gaps:** Microsoft DevOps Stack, C#/.NET ecosystem **Missing Required:** Azure DevOps, TFS, Powershell, C#

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Missing the core requirement of 3+ years of professional C/C++ experience. While Mechatronics and Go imply low-level competence, ATS systems do not make this leap. Heavy deductions for missing exact keywords and standard software engineer job titles. **Strengths:** Git, English C2, Remote work experience **Critical Gaps:** 3+ years professional C/C++ developer title **Missing Required:** C/C++

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] Technically this is an excellent match on Node.js, SQL/PostgreSQL, backend scalability, APIs, and remote-first collaboration, with only TypeScript as a clear gap. However, the requirement of “at least 4 years of experience as a Software Engineer” clashes with the absence of any Software Engineer-titled roles. At a hypergrowth unicorn with very high applicant volume, that title mismatch is likely fatal in ATS. **Strengths:** Deep Node.js/PostgreSQL backend expertise including performance and fault tolerance, Strong background in building scalable orchestrators and high-reliability systems on constrained hardware, Experience designing secure APIs and handling authentication (OAuth2/OIDC) **Missing Required:** 4+ years of experience explicitly titled as Software Engineer

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS will see general automation and workflow experience but zero explicit UiPath or RPA background and no C#/.NET foundation, which are central to this role. The position targets seasoned UiPath specialists rather than general systems/automation engineers. This constitutes a critical domain mismatch. **Strengths:** Strong general automation mindset (n8n, Zapier/Make.com, workflow automation), Experience integrating APIs, databases and enterprise-style systems, Advanced English and remote collaboration experience **Critical Gaps:** No professional RPA/UiPath development experience **Missing Required:** 5+ years of RPA development, 3+ years of UiPath development

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate possesses strong conceptual data pipeline, SQL, Python, and English skills. However, lacks enterprise Data Engineering titles and specific AWS Big Data tools (Glue, Redshift, Spark). EY's enterprise ATS will cap the score due to missing required stack components. **Strengths:** Python, SQL, English C2 **Critical Gaps:** Senior Data Engineer title, AWS Big Data ecosystem **Missing Required:** Spark, Redshift, AWS Glue

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This Senior Data Integration Engineer description again matches strongly on SQL and automation but lacks explicit NoSQL and dedicated ETL/data-integration tooling, similar to Jobs 2 and 6. ATS will recognize general data and SDLC experience but not the specialized integration background. Big-consulting and SDLC/governance focus further reduce alignment with a systems/AI trajectory. **Strengths:** Advanced SQL and operational data modeling, Proven history designing and monitoring data workflows and quality controls, Experience with CI/CD and Agile-style practices **Missing Required:** Hands-on NoSQL database technologies

[ANALYSIS_REPORT] **TOP** [Opencode: google/gemini-3.1-pro-preview] Perfect alignment with candidate's actual day-to-day operations and tech stack. Hits every core keyword: n8n, LLM APIs, RAG, Node.js, VPS, Docker, JSON, and APIs. ATS will score this extremely high based on exact keyword and semantic matches. **Strengths:** n8n & Workflow Automation, LLM APIs & RAG, VPS/Docker/Node.js

[ANALYSIS_REPORT] **MEDIUM** [Opencode: google/gemini-3.1-pro-preview] Strong match for the conceptual requirement (Hyperautomation, AI integration, Python, SQL, APIs). However, the ATS will severely penalize the complete lack of UiPath, which is a core enterprise RPA tool explicitly required. **Strengths:** Generative AI Integration, Python, APIs **Critical Gaps:** UiPath experience **Missing Required:** UiPath

[ANALYSIS_REPORT] **LOW** [3-Flash] The candidate has strong Python and GenAI skills, but the role requires practical knowledge of JAVA, C, or C++ which are missing from the profile. Additionally, as an enterprise consulting role (Avanade), the ATS will likely flag the lack of a traditional 'Software Engineer' or 'Manager' title in a corporate setting. The mechatronics background is a partial match for analytical requirements but doesn't bridge the specific language gaps. **Strengths:** Strong Python proficiency, GenAI/LLM integration, Analytical thinking **Critical Gaps:** Missing required programming languages (Java/C++), No formal 'Software Engineer' title history **Missing Required:** JAVA/C/C++, Enterprise Cloud (Azure) experience