Santex

Role Description We are seeking an experienced Lead Back End Developer to enhance and modernize a mature backend architecture that supports custom websites and mobile applications. The ideal candidate will have a strong background in developing websites, custom API Endpoints, and microservices using .NET Core and C#. - Experienced developer, comfortable collaborating with a team of 3 to 4 other back end developers. - Strong communication skills – This developer will be working closely with business users to review and refine requirements. - Project is based out of the West Coast, so they need to be able to work Pacific Time Zone hours. Qualifications - 8+ years of web development experience using C# and .NET Core. - Proven experience developing, deploying, and optimizing enhancements to a large, mature codebase. - Hands-on experience building efficient database access and data persistence using MS SQL Server. - Proven ability building enterprise-grade integrations with external APIs and platforms. - Strong troubleshooting and performance optimization skills. - Experience implementing backend systems optimized for mobile and web user experiences. - Experience implementing secure interfaces using OAuth 2.0 and OICD protocols. - Ability to collaborate across product, UX, QA, and infrastructure teams using Bitbucket, Jira, and Confluence. - Experience working in a fast-paced Scaled Agile Framework (SAFe) environment following Scrum best practices. - Excellent problem-solving, communication, and leadership skills. Requirements - Experience using the DataDog Logging Platform for monitoring and observability. - Familiarity with Google Cloud Platform (GCP) services such as Google Analytics 4 (GA4) and BigQuery. - Advanced English: Excellent verbal and written communication skills in English.

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental. Job Description: AI Specialist Purpose: To design, train, and maintain artificial intelligence solutions, including predictive models, conversational assistants, and core products (such as SAM Core), ensuring the technical viability of Proofs of Concept (POCs) and providing technical vision for estimations and solution design. Critical Tasks - AI Model Design and Training: Create and fine-tune predictive models tailored to the specific needs of each Proof of Concept. - AI Platform Maintenance: Operate and maintain SAM, ensuring stability, performance, and continuous updates. - Technical Support for POCs: Collaborate in the technical construction of tests, demonstrating capabilities, estimating timelines, and defining the necessary teams. - Internal Technical Consulting: Advise on applicable technologies, best practices, and architectures for future projects. Essential Functions - Develop AI Backend Solutions: Implement, adjust, and maintain models and architectures for each project. - Technical Effort Estimation: Analyze requirements, calculate timelines, and resources needed to guarantee technical feasibility. - Technical Quality Assurance: Ensure the robustness, security, and performance of AI products and platforms. - Product Manager Collaboration: Work together to align technical vision with business objectives. Qualifications - Academic Background: Degree in Systems Engineering, Computer Science, Mathematics, or related fields. - Complementary Training: Courses in Machine Learning, NLP, and Deep Learning. Advanced knowledge in backend development. - Professional Experience: Proven experience developing AI backend solutions and designing/training predictive models. - Plus: Experience in the maintenance of conversational platforms. - Languages: Proficiency in Spanish and English. Leadership Competencies - Strategic Vision: Clearly and effectively communicate technical ideas to both technical colleagues and non-technical stakeholders, demonstrating active listening to identify needs and concerns. - Effective Communication: Ability to clearly communicate product vision, strategy, and progress at all levels of the organization. - Teamwork: Work effectively with diverse teams and facilitate coordination between departments. - Courage: Promote and manage tension in pursuit of disruption, viewing risks as opportunities. 📍 Location - CABA or Córdoba, Argentina.

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental. Job Description: Machine Learning Engineer We are looking for an experienced and driven Machine Learning Engineer to join our Advanced Analytics team. You will play a pivotal role in advancing our machine learning capabilities, focusing on the building, training, deploying, scoring, and monitoring of models for various use cases, including personalized recommenders, forecasting, and LLM modeling. Responsibilities - Model Development & Deployment: Develop and deploy Machine Learning, Deep Learning, and GenAI models to enhance operational efficiency and customer experience. - Continuous Improvement: Improve models by monitoring performance, conducting A/B testing, and implementing feedback loops. - Architecture & Scalability: Architect and rebuild complex ML frameworks from the ground up, incorporating multi-threaded processing and distributed workloads to support scalable pipelines. - Cross-functional Collaboration: Work with engineers and product managers to integrate AI solutions into production systems within a fast-paced Agile environment. - Operational Excellence: Own production ML systems, participating in on-call rotations, troubleshooting incidents, and maintaining overall model reliability. - Innovation: Stay updated with the latest advancements in AI to ensure our solutions remain cutting-edge. Requirements - Education: Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. - Experience: 3+ years of experience designing, building, and operating production-scale machine learning systems. - Technical Mastery: Expert-level programming in Python with extensive experience using PySpark and distributed data platforms (e.g., Databricks) for large-scale datasets. - Deep Learning & Frameworks: Strong experience with Scikit-Learn, MLlib, and PyTorch, including regression, time series, clustering, and deep learning. - Distributed Systems: Deep understanding of Spark execution models, partitioning strategies, shuffle optimization, and vectorized processing (Pandas UDFs). - Data & Cloud: Strong SQL expertise and experience deploying ML workloads to AWS (EC2, S3, DynamoDB, Lambda). - Ops: Experience implementing MLOps / LLMOps practices. Key Competencies - Ownership: Ability to manage strategic initiatives in a rapidly evolving QSR environment. - Adaptability: Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude. - Outcome-Oriented: Focus on analyzing and visualizing data to drive continuous improvement across the business. - Professionalism: Maintain transparency and professionalism in communication within the team and with stakeholders. 📍 Location - Flexible / Remote options available.

Santex es una empresa global con sede en EE. UU., fundada en 1999, con 26 años de experiencia en la industria del software. Con oficinas centrales en California y en Córdoba, Argentina, su red de talento se extiende por más de 18 países gracias a su cultura flexible y de trabajo remoto. Santex se especializa en el desarrollo de software empresarial a medida, operando a través de Hubs que abarcan comercio electrónico, BIM, movilidad, distribución de contenido, integración, desarrollo web y móvil, computación en la nube, inteligencia artificial (IA), ciencia de datos, consultoría de TI y servicios. La empresa está comprometida con generar un impacto positivo en tres dimensiones: económica, social y ambiental. Propósito del Rol En Santex, la transformación tecnológica no empieza con código , empieza con las preguntas correctas. El/La Strategy Consultant es quien define esas preguntas. Este rol existe para dar forma a la agenda de transformación de nuestros clientes enterprise: diagnosticando la realidad de su ecosistema tecnológico, diseñando soluciones consultivas que integren tecnología, IA, procesos y personas, y construyendo el camino estratégico que convierte desafíos complejos en ventajas competitivas concretas. Reportando al Director de Growth, el/la Strategy Consultant opera en la intersección entre el negocio del cliente y las capacidades de Santex , con autoridad para definir el enfoque, influenciar decisiones ejecutivas y garantizar que cada interacción genere valor real y medible. Responsabilidades Clave Discovery y Diagnóstico - Liderar el entendimiento profundo del cliente: su industria, modelo operativo, stack tecnológico y presiones competitivas. - Revelar los pain points reales — técnicos, procedurales y culturales — que limitan el crecimiento o la eficiencia del negocio. - Definir, junto a los Solution Architects, la viabilidad técnica y el enfoque de cada oportunidad de transformación. - Traducir hallazgos en narrativas estratégicas que resuenen a nivel directivo y generen alineación ejecutiva. Estrategia IT & Assessment - Conducir assessments end-to-end del ecosistema tecnológico: arquitectura, modelo operativo, costos IT , estructura , (Run / Grow / Transform) y gobernanza (COBIT / ITIL). - Estructurar y facilitar kickoffs estratégicos con C-Level, asegurando alineación entre ambiciones de negocio y capacidad tecnológica. - Construir roadmaps de transformación de 18 a 36 meses, priorizando iniciativas por impacto estratégico y factibilidad. - Producir documentación ejecutiva para boards y comités , clara, accionable y orientada a la decisión. Diseño de Soluciones Consultivas - Diseñar propuestas holísticas que integren tecnología, IA agéntica, procesos y dimensión humana en una solución coherente. - Definir el alcance, modelo de valor, hipótesis de impacto y métricas de éxito de cada engagement. - Orquestar la co-creación de propuestas con los equipos de Santex Lab, Delivery, Growth y Cultura. - Garantizar coherencia total entre la promesa consultiva y la capacidad real de entrega. Liderazgo del Inicio de Proyecto - Anticipar y neutralizar riesgos técnicos y organizacionales antes de que impacten la ejecución. - Mantener presencia estratégica en las etapas críticas de arranque para proteger la integridad de la solución propuesta. Desarrollo de la Práctica Consultiva - Elevar el estándar de la práctica: frameworks de estimación, metodologías de assessment y estándares de propuesta. - Rastrear tendencias tecnológicas emergentes — especialmente en IA — y traducirlas en oportunidades concretas para clientes. - Ser referente interno: contribuir al crecimiento del equipo consultivo de Santex con criterio, experiencia y visión. Requisitos y Competencias Experiencia - +8 años en consultoría de negocio o IT strategy, con foco en transformación digital en entornos enterprise. - Historial comprobado liderando engagements complejos — desde el diagnóstico hasta la entrega — con impacto medible en el negocio del cliente. - Solvencia para operar en conversaciones técnicas y ejecutivas con igual credibilidad. - Exposición directa y sostenida a perfiles C-Level (CEO, CTO, COO, CHRO). - Inglés avanzado. Conocimientos Técnicos y Metodológicos - IT Strategy, Enterprise Architecture y Technology Assessment. - Cloud, transformación digital y soluciones de IA agéntica aplicadas a contextos enterprise. - Roadmapping estratégico y frameworks de priorización de iniciativas. - Deseable: TMP, QTM, Design Thinking, Six Sigma, Change Management. 📍 Location: Argentina - CABA.

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental. Job Description: We are seeking an AI Enablement Engineer to design and scale the semantic layer that turns raw restaurant data into a shared language for AI, analytics, and decision-making across a global Quick Service Restaurant (QSR) enterprise. This is a foundational role in our AI strategy: the semantic layer you build is what makes natural language analytics, automated reporting, and intelligent AI agents possible at enterprise scale. Your focus is bridging business meaning and data, ensuring that AI systems, analytics platforms, and end users consistently interpret critical metrics like same-store sales, speed of service, traffic, and labor productivity in a standardized, governed way. When an AI agent or a franchisee asks "how did my restaurant perform last week," the accuracy and trust of that answer starts with your work. You will define and operationalize a hybrid semantic layer strategy that combines governed, metadata-driven models with AI-powered context engineering to enable scalable, accurate, and self-service insights across restaurants, corporate teams, and franchisees, unlocking the building blocks for conversational analytics and autonomous AI workflows. Key Responsibilities – Semantic Layer Strategy & Architecture - Define and implement an enterprise semantic layer that standardizes metric definitions and aligns business questions to data - Establish canonical definitions for core KPIs (e.g., same-store sales, speed of service, traffic, labor productivity) - Design mapping between business concepts and underlying data models across systems (POS, digital, supply chain, finance) - Provide structured metadata to power AI systems, copilots, and analytics tools. Key Responsibilities – Hybrid Semantic Model Implementation - Build and maintain manual, metadata-driven semantic models for high-criticality domains (finance, core KPIs, franchise reporting) - Enable AI-driven context engineering for exploratory analytics, operational insights, and ad-hoc queries - Define how both approaches coexist in a unified architecture Key Responsibilities – Tooling & Platform Enablement - Implement semantic layer tooling (DBT, semantic views, YAML/Markdown metadata, data catalogs like Atlan) - Enable downstream consumption by BI tools, APIs, and AI applications - Create reusable abstractions and templates to scale globally Key Responsibilities – AI & Context Engineering Integration - Enable AI systems (LLMs, agents, copilots) to leverage semantic metadata - Support context engineering using data lineage, metadata, example queries, and repository context - Improve AI reliability by grounding outputs in governed definitions Key Responsibilities – Governance & Data Quality - Establish governance processes for metric definitions - Ensure alignment across regions, brands, and franchise reporting - Implement validation, versioning, and change management - Define guardrails to prevent inaccurate analytics outputs Key Responsibilities – Adoption & Enablement - Partner with business and technical teams to drive adoption - Educate stakeholders on standardized metrics and self-service analytics - Provide documentation, playbooks, and training Required Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Engineering, Analytics, or related field - 5+ years of experience in data engineering, analytics engineering, or AI/ML systems - Strong experience with semantic modeling or analytics engineering - Proficiency in SQL and Python - Experience with DBT and modern cloud data platforms - Understanding of APIs and distributed systems Preferred Qualifications - Experience in QSR, retail, or franchise environments - Experience with semantic/metrics layers - Familiarity with data catalogs (e.g., Atlan) - Experience with generative AI, LLMs, and context engineering - Knowledge of data lineage and governance frameworks Additional Expectations - Design and maintain CI/CD pipelines, including automated builds, testing, and deployment of solutions - Develop and execute functional and regression test suites to validate metric accuracy, data completeness, and semantic model behavior across environments - Implement automated data and code quality checks and integration tests within the deployment pipeline to catch issues before they reach production - Apply software engineering best practices including version control, code review, branching strategies, and environment promotion (dev/staging/prod) to all semantic layer and metadata assets - Monitor platform performance, troubleshoot pipeline failures, and maintain observability across semantic layer infrastructure using logging, alerting, and health checks - Define and manage infrastructure as code (e.g., Terraform, CloudFormation) for data platform resources, ensuring reproducible and auditable environment provisioning across development, staging, and production - Implement and maintain role-based access controls, secrets management, and security policies across semantic layer tooling, data platform resources, and API integrations to ensure compliance with enterprise security standards Key Skills & Competencies - Systems thinking across data, analytics, and AI - Ability to translate business metrics into data models - Balance governance with scalability - Strong stakeholder management - Clear communication of complex concepts Success Metrics - Adoption of standardized metric definitions - Reduction in reporting inconsistencies - Improved accuracy of AI-generated insights - Increased self-service analytics usage - Faster time-to-insight Reporting Structure - Reports to: VP / Director of Data, AI, or Platform Engineering - Works closely with: Data Engineering, Analytics, AI/ML, Finance, Operations, Franchise teams Summary The AI Enablement Engineer (Semantic Layer) establishes a shared language between business and data. By combining governed semantic models with AI-driven context understanding, this role enables scalable, accurate, and trusted analytics and AI across a global QSR enterprise. Location: LATAM

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental. Job description: We are seeking an AI Data Engineer to design, build, and scale the data foundations that power AI, advanced analytics, and natural language interfaces across a global Quick Service Restaurant (QSR) enterprise. This is a high-impact role at the intersection of data engineering and applied AI, where the pipelines you build become the building blocks for use cases like automated insight generation, conversational analytics, and intelligent decision support at restaurant scale. A core focus of this role is data ingestion from POS systems and back-office vendor platforms spanning labor, inventory, finance, and supply chain. You will ensure reliable, standardized, and scalable ingestion of high-volume, multi-source data into the enterprise data platform, transforming fragmented operational data into AI-ready assets. You will also play a critical role in connecting raw data to business meaning, supporting governed KPI definitions and AI-driven context engineering through a robust semantic layer that enables both human analysts and AI agents to query, reason over, and act on trusted data. Key Responsibilities – Data Ingestion & Integration (POS & Back Office) - Design and build ingestion pipelines for POS systems across global markets (transactions, orders, payments, speed of service) - Integrate data from back-office vendor systems (labor scheduling, inventory, supply chain, finance) - Handle diverse ingestion patterns (batch, streaming, APIs, file-based ingestion) - Normalize and standardize data across vendors, regions, and brands - Ensure data freshness, completeness, and consistency across all ingestion pipelines - Manage vendor-specific schemas and evolving data contracts Key Responsibilities – Data Platform & Pipeline Engineering - Build scalable ELT/ETL pipelines using modern tools (DBT, Airflow, etc.) - Support real-time and batch processing for operational and analytical use cases - Optimize ingestion pipelines for performance, reliability, and cost - Ensure high availability across global data workloads Key Responsibilities – Semantic Layer Enablement - Build data models supporting standardized KPIs (same-store sales, speed of service, traffic, labor productivity) - Align ingested raw data with business-friendly semantic abstractions - Support both governed (manual) and AI-driven semantic approaches Key Responsibilities – Metadata & Context Engineering - Capture metadata, lineage, and schema details from ingestion pipelines - Enable AI systems using structured context (metadata, lineage, example queries) - Ensure AI systems can reliably interpret POS and operational data Key Responsibilities – Governance & Data Quality - Implement validation and monitoring for ingestion pipelines - Ensure data accuracy across POS and vendor systems - Support governance for consistent metric definitions across regions - Maintain versioning and schema evolution processes Required Qualifications - 5+ years of experience in data engineering - Strong SQL and Python skills - Experience building ingestion pipelines from APIs, streaming, and batch sources - Experience with POS or operational data systems preferred - Experience with cloud data platforms and modern data stack Preferred Qualifications - Familiarity with Agentic development tools such as Codex, Cursor or Claude Code - Experience in QSR or retail environments - Experience integrating vendor systems (labor, inventory, finance) - Familiarity with semantic layers and metadata tools - Experience enabling data for AI/LLM use cases Success Metrics - Reliability and latency of POS and back-office data ingestion - Standardization across vendor data sources - Reduction in data inconsistencies - Improved downstream analytics and AI performance Summary This role ensures that high-quality, standardized data from POS and back-office systems flows into the enterprise platform—enabling trusted analytics, semantic consistency, and AI-driven insights at global scale. Location: LATAM

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental. Job Description: We are looking for a Quality Engineer Manager or Lead with Software Development Engineer in Testing experience to join our team. The ideal candidate will have extensive experience with end-to-end implementation of fully automated quality solutions, and a proven track record in designing and implementing automated testing solutions as well as leading teams. As an SDET, you are an expert in the field of test automation, using your expertise to advocate for best practices, coach other SDETs, and implement test frameworks from the ground up. Your experience and leadership will shape the foundation of the test automation framework. Responsibilities: - Design and implement end-to-end automated quality solutions, test automation frameworks, and comprehensive testing suites for large-scale, complex systems. - Propose solutions to all levels of engineering teams including Architects, Directors, CTO. - Drive test strategy at all levels of application architecture, including ownership of test automation for complex projects throughout the full lifecycle. - Write fast, reliable, and maintainable automated test coverage, including tests for complex security and performance problem areas. - Guide and define CI/CD pipeline design and execution to accelerate delivery, and ensure test code meets the same standards as production code. - Collaborate with and mentor engineering teams to improve testing practices, process end-to-end (including agile practices and monitoring/logging in production). Requirements: - Experience & Leadership: 10+ years in software development with a wide breadth of engineering experience, including 4+ years in a senior or lead role. Proven experience leading teams of engineers. - Technical Expertise: Hands-on expertise with application design, software development, and automated testing (6+ years automation experience). - Systems Knowledge: Experience with distributed (multi-tiered) systems, algorithms, and relational databases. - Core Technologies: 4+ years of experience with Java, and experience with JavaScript (React preferred) and database technologies. - Process Knowledge: Strong understanding of agile testing methodologies (Holistic Testing, Agile Testing, Modern Testing, Continuous Delivery) and experience with practices like TDD, BDD, and Pair Programming. - Education: Bachelor’s degree in Computer Science, Computer Science Engineering, or related field; advanced degree preferred. - English: Advanced English is required. Desirable: - Expertise in distributed systems, focusing on performance, scalability, and security. - Experience with authorization/authentication domains and industry standards (e.g., OAuth2, OpenID Connect, SAML) within enterprise-scale applications. - Cloud experience, familiarity with modern DevOps practices, and strong collaboration skills with cross-functional teams. - FinTech or Banking domain knowledge. Location: Mexico City or Argentina

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental. Role: AWS Serverless Engineer (Must: AWS Cognito) Engagement overview The client is a globally recognized quick-service restaurant brand operating a large-scale digital ordering platform across mobile (iOS, Android), web, and kiosk channels. Their in-house Digital Engineering team has built and operates a production AWS Cognito identity platform serving millions of monthly active users across North America. This engagement extends that platform to support European markets across multiple EMEA regions, with loyalty registration and authentication scoped to country-specific rules. The North American architecture is complete and documented. The candidate's primary mandate is backend middleware and identity implementation only — no UI work. Scope assumptions: Backend middleware and identity services only · No UI work · Dynatrace APM integration included Required qualifications - Demonstrated production experience with AWS serverless infrastructure: Lambda, Cognito, SES, IAM, ACM, and CloudWatch - Hands-on Terraform experience for AWS, including multi-environment or multi-region deployments - Node.js proficiency — all Lambda functions are JavaScript - Working knowledge of OAuth 2.0, OpenID Connect, and password-based Cognito authentication flows - Familiarity with GDPR and AWS data residency controls in an EU deployment context - Available to begin immediately Preferred qualifications - Direct AWS Cognito experience: USER_PASSWORD_AUTH flows, forced password reset ( FORCE_CHANGE_PASSWORD state), and admin-initiated flows - Experience implementing country-specific registration and consent logic within a shared identity platform - JIT account migration experience with forced reset on first login patterns - Dynatrace APM integration in a Lambda/serverless environment - Social IdP integration via Cognito (Google, Apple, Facebook) - Kount or equivalent fraud detection API integration - Multi-regional identity platform experience at scale (1M+ MAU) Candidate profile notes The right candidate is a self-sufficient AWS serverless engineer who can work from existing architecture documentation and deliver independently against a fixed production deadline. This is not a design or architecture role — the client has a senior architecture team in place. The most critical differentiator is experience with Cognito's password-based authentication model and forced migration/reset flows. Strong AWS generalists without Cognito-specific experience can succeed with solid Lambda, SES, and Terraform fundamentals, but expect a steeper ramp given the timeline. Location - Location: Remote — EU or US Eastern timezone overlap required Start: Immediate

Santex is a US-based global company founded in 1999, with 25 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental. Job Description: We are seeking a Senior Magento Developer to join our team. The ideal candidate will have extensive experience in developing and maintaining eCommerce websites using the Magento platform. Responsibilities: - Develop and maintain Magento-based eCommerce websites. - Collaborate with cross-functional teams to define, design, and ship new features. - Optimize website performance and scalability. - Troubleshoot and resolve issues in the Magento environment. - Stay updated with the latest Magento trends and technologies. Requirements: - Bachelor’s degree in Computer Science or a related field. - 5+ years of experience in Magento development. - Proficiency in PHP, HTML, CSS, and JavaScript. - Strong understanding of Magento architecture and best practices. - Experience with Magento extensions and integrations. Desirable: - Magento certification. - Experience with other eCommerce platforms. - Knowledge of front-end frameworks (e.g., React, Angular). Advanced English: - Excellent verbal and written communication skills in English. Required Location: - Argentina or Perú

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental. Job Description: We are looking for a hands-on engineer to work across product and platform in an industrial software environment. You will design, build, and operate distributed applications and shared infrastructure, ensuring reliable local and cloud deployments across multiple repositories and teams. This role combines: - Full-stack delivery (frontend + BFF + microservices), - Platform engineering (Kubernetes, observability, CI/CD), - Developer enablement (tooling, build pipelines, private package feeds, local dev workflows). Key Responsibilities - Build and maintain microservice-based systems and BFFs (TypeScript/Node/Bun and .NET). - Split and evolve app/platform boundaries across repositories (application vs shared infrastructure). - Own containerization and deployment workflows using Docker Compose and Helm. - Operate Kubernetes-based environments (local clusters + cloud clusters). - Manage secure package consumption from private registries/feeds (Azure Artifacts, scoped npm feeds). - Design and maintain CI/CD pipelines in Azure DevOps for build, test, release, and deployment. - Improve developer experience for multi-repo, multi-service local development. - Implement and maintain observability stack (Prometheus, Grafana, Loki, Tempo, OpenTelemetry). - Troubleshoot complex cross-cutting issues (networking, auth, registry routing, build secrets, runtime config). - Contribute to architecture decisions, documentation, and platform standards. Required Skills - Strong full-stack engineering experience in modern web platforms. - TypeScript/JavaScript (Node.js; Bun is a plus), package management (pnpm/npm). - .NET / C# service ecosystem familiarity. - Docker & Docker Compose (multi-service orchestration, build contexts, BuildKit secrets). - Kubernetes fundamentals (contexts, namespaces, services, ingress, secrets, configmaps, health checks). - Helm (chart structure, values strategy, dependencies, environment overrides). - Azure DevOps pipelines (YAML templates, CI/CD, artifact handling, build/release flow). - Private registry/feed auth (Azure Artifacts/npm scopes, PAT handling, secure secret injection). - Git workflows in multi-repo environments. - Strong debugging and root-cause analysis across build/deploy/runtime layers. Nice-to-Have - Experience with OpenTelemetry, Prometheus, Grafana, Loki, Tempo. - Experience with RabbitMQ, PostgreSQL, MSSQL, Keycloak. - Experience with reverse proxies (Nginx/Caddy) and API gateway patterns. - Experience in industrial/logistics domains (WCS, fleet management, automation). - Experience with monorepos and shared package architectures. Security & Quality Expectations - Never commit secrets or tokens to repositories. - Use environment- and user-level credential strategies with secure build-time secret injection. - Build reproducible local and CI environments. - Write/maintain clear runbooks and troubleshooting documentation. - Promote testability, reliability, and operational visibility by default. Soft Skills - Strong ownership and communication across frontend, backend, and DevOps boundaries. - Ability to coordinate with multiple teams and external dependencies. - Pragmatic decision-making with clear tradeoff analysis. - Mentoring mindset and commitment to engineering standards. Location: LATAM