Coderio

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<h3>Sobre Coderio </h3>
Coderio diseña y entrega soluciones digitales escalables para empresas globales. Con una base técnica sólida y una mentalidad orientada al producto, nuestros equipos lideran proyectos de software complejos desde la arquitectura hasta la ejecución. 
Valoramos la autonomía, la comunicación clara y la excelencia técnica. Colaboramos estrechamente con equipos y socios internacionales, construyendo tecnología que genera impacto. 
Más información: <a rel="noopener noreferrer ugc" href="http://coderio.com/" target="_blank">http://coderio.com</a>

Nos encontramos en la búsqueda de un Especialista Data Engineer (Sr.) para incorporarse al área de Ingeniería de Datos dentro de una Gerencia de Datos del rubro Retail.
El equipo está conformado por 9 colaboradores de diversos perfiles (Data Delivery Lead, Architects, Data Engineers, DataOps, Data QC y Data Analysts) y es responsable del ciclo de desarrollo completo: desde la ingesta hasta la disponibilidad de datos para la gestión y toma de decisiones de los usuarios internos en Argentina. Como Especialista, serás responsable de construir soluciones para requerimientos evolutivos, correctivos de segundo nivel y proyectos regionales que requieran datos del país, trabajando sobre un ecosistema alojado íntegramente en la nube de AWS.
<h3>Lo que puedes esperar de este rol (Responsabilidades)</h3>
<ul>
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Diseñar, desarrollar y mantener pipelines de datos eficientes y escalables utilizando servicios de AWS (Redshift, Glue, EMR, MWAA, S3, API Gateway, entre otros).
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Implementar procesos de extracción, transformación y carga (ETL) optimizados mediante PySpark y SQL.
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Colaborar con equipos multidisciplinarios y stakeholders para comprender los requisitos de datos y diseñar soluciones de alto rendimiento y confiabilidad.
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Monitorear y optimizar continuamente el rendimiento de los pipelines de datos existentes.
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Garantizar la calidad e integridad de los datos mediante la aplicación de prácticas de gobernanza y control de calidad.
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Documentar procesos y flujos de trabajo técnicos para facilitar la mantenibilidad y la transferencia de conocimientos en el equipo.
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Participar activamente en la resolución de problemas y la atención de incidentes de segundo nivel relacionados con pipelines de datos.
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</ul>
<h3>Requisitos</h3>
<ul>
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Experiencia acreditada como Especialista / Sr. trabajando con grandes volúmenes de datos.
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Experiencia avanzada comprobable en el ecosistema AWS: AWS Redshift, Glue, EMR, MWAA, S3 y API Gateway (EXCLUYENTE).
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Sólidos conocimientos y dominio técnico en PySpark y SQL (EXCLUYENTE).
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Experiencia sólida en el diseño e implementación de arquitectura de sistemas y procesos ETL/ELT.
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Experiencia en optimización de consultas, monitoreo y tuning de rendimiento en pipelines de datos.
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Excelentes habilidades de comunicación, autonomía, proactividad y capacidad para solucionar problemas complejos en entornos dinámicos.
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</ul>
<h3>Deseable</h3>
<ul>
<li>
Familiaridad con herramientas de CI/CD y prácticas de DevOps.
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Experiencia de trabajo bajo metodologías ágiles (Scrum).
</li>
</ul>
<h3>Beneficios</h3>
<ul>
<li>
Compromiso a largo plazo, con autonomía e impacto. 
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<li>
Rol estratégico y de alta visibilidad en una cultura de ingeniería moderna. 
</li>
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Equipo internacional colaborativo y liderazgo técnico sólido. 
</li>
<li>
Plan de carrera, crecimiento y desarrollo profesional. 
</li>
</ul>
<h3>¿Por qué unirte a Coderio? </h3>
En Coderio valoramos el talento sin importar la ubicación. Somos una empresa apasionada por la tecnología, el trabajo colaborativo y la compensación justa. Ofrecemos un entorno inclusivo, desafiante y con oportunidades reales de crecimiento. 
Si te motiva construir soluciones con impacto, te estamos esperando. Postula ahora.
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Especialista Data Engineer (Sr.)

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About Us
Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-oriented mindset, our teams lead complex software projects from architecture to execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, creating technology that makes a difference. 
More information: <a rel="noopener noreferrer ugc" href="http://coderio.com/" target="_blank">http://coderio.com</a>
The Role
We are seeking a Senior Enterprise AI &amp; Automation Engineer to design, build, and operate intelligent workflows and conversational agents at scale. This role bridges the gap between advanced AI development (Python, LLMs) and enterprise operations (Microsoft Stack, Azure). 
You will own the end-to-end lifecycle of mission-critical AI solutions: developing custom agents, integrating them with enterprise data platforms (Snowflake), and ensuring robust observability (Splunk) in cloud environments. If you thrive in complex ecosystems and know how to turn AI capabilities into tangible business value—while leveraging tools like Cursor IDE or GitHub Copilot to accelerate your own delivery—this high-impact role is for you.
What to Expect in This Role (Responsibilities)
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AI &amp; Agentic Development: Design and build conversational solutions, custom copilots, and agentic workflows using Microsoft Copilot Studio, Power Automate, and custom Python architectures.
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Enterprise Integration: Connect AI agents and automated workflows seamlessly with enterprise data ecosystems, specifically Snowflake and SharePoint.
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Cloud &amp; Infrastructure: Architect and operate resilient, large-scale cloud infrastructures on Azure, managing deployments via CI/CD pipelines (YAML, GitOps patterns).
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Observability &amp; Governance: Develop advanced monitoring, logging, and auditing strategies using Splunk to track agent performance, latency, and operational bottlenecks.
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Engineering Excellence: Actively leverage AI-assisted development tools (Cursor IDE, GitHub Copilot) to accelerate coding, improve code quality, and set best practices for the team.
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Technical Leadership: Collaborate with cross-functional, global teams, providing technical direction, participating in client discussions, and recommending emerging AI technologies.
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</ul>
Requirements
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5+ years of experience in Software Engineering, Cloud Engineering, or Automation roles with demonstrated impact at an enterprise scale.
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4+ years of hands-on experience developing with Python (building robust backend services, APIs, and data integrations).
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2+ years of experience designing and deploying solutions using Microsoft Copilot Studio (or Power Virtual Agents) and Power Automate.
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Proven experience building agentic workflows or AI pipelines, integrating Large Language Models (LLMs) into business processes.
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Solid cloud expertise, strongly focused on Azure (AWS is a plus).
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Experience integrating applications or agents with Snowflake.
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Proven background in building high-volume logging and monitoring ecosystems (e.g., Splunk, multi-region ingestion, automated reporting).
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Daily active user of AI-assisted development tools (e.g., GitHub Copilot, Cursor IDE, ChatGPT) to optimize engineering workflows.
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Bilingual English 
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</ul>
Nice to Have
<ul>
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Hands-on experience with Azure DevOps (pipelines, repos, artifacts, YAML).
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Familiarity with modern AI agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen).
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Experience with SharePoint integrations, reusable modules, and reproducible infrastructure standards.
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</ul>
Benefits
<ul>
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100% remote work.
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High-impact strategic role with autonomy and ownership.
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Opportunity to scale cloud and automation practices in global environments.
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Collaborative senior engineering culture with strong technical leadership.
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Clear growth pathway and access to leadership opportunities.
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</ul>
Why Join Coderio?
At Coderio, we value talent regardless of location. We are a fully remote company passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design scalable cloud infrastructures, elevate DevOps practices, and build AI-powered automation that makes a difference, we’d love to meet you.
Apply now.
</div>

Senior Agentic AI Developer

<h3>Sobre Coderio</h3>
Coderio diseña y entrega soluciones digitales escalables para empresas globales. Con una sólida base técnica y una mentalidad orientada al producto, nuestros equipos lideran proyectos de software complejos desde la arquitectura hasta la ejecución. Valoramos la autonomía, la comunicación clara y la excelencia técnica. Trabajamos en estrecha colaboración con equipos y partners internacionales, construyendo tecnología que genera un impacto real.
🌍 Más información: coderio.com 
Buscamos un Senior AI Engineer con un perfil fuertemente orientado a la ejecución (hands-on). En este rol, serás la pieza clave para convertir diseños arquitectónicos en soluciones reales de IA generativa y multimodal funcionando en producción. Tendrás el espacio para aportar tu criterio técnico, influir en las decisiones del día a día y construir productos innovadores dentro de un equipo ágil, colaborativo y de alto impacto.

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<h2>Lo que puedes esperar de este rol (Responsabilidades)</h2>
<ul>
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Desarrollo end-to-end: Implementar soluciones basadas en LLMs, agentes autónomos y capacidades multimodales (voz, imágenes, texto).
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Integración: Desarrollar y conectar integraciones robustas con APIs REST y sistemas empresariales existentes.
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Ingeniería de IA: Implementar técnicas avanzadas como Prompting, Tool Calling, RAG (Retrieval-Augmented Generation) y diseñar mecanismos de evaluación de modelos.
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Ciclo de vida del modelo: Participar activamente en procesos de fine-tuning, pruebas, desarrollo de pilotos y despliegues a producción.
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Calidad y Resiliencia: Implementar observabilidad, controles de calidad y estrategias de fallbacks para garantizar la estabilidad de las soluciones.
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Mejora continua y diseño: Proponer mejoras técnicas, advertir riesgos a tiempo y mantener una documentación clara y disciplinada de todo lo construido, convirtiendo los diseños de arquitectura en soluciones operativas.
</li>
</ul>
<h2>Requisitos excluyentes</h2>
<ul>
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Experiencia General: 3+ años de experiencia comprobable en desarrollo de software.
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Experiencia en IA: 2+ años trabajando directamente con soluciones de Inteligencia Artificial, Machine Learning o Generative AI.
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Core Technology Stack: Experiencia avanzada programando en Python y construyendo soluciones con LLMs y APIs de modelos.
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Frameworks: Experiencia práctica con frameworks de agentes como LangGraph, LangChain, Semantic Kernel o similares.
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Cloud &amp; DevOps: Conocimiento del ecosistema Cloud (Azure, AWS o GCP) y familiaridad con entornos modernos (Docker, Git, CI/CD).
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Integraciones: Experiencia integrando APIs REST y servicios de terceros.
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IA Avanzada: Experiencia utilizando Azure OpenAI, Azure AI Foundry y trabajando con soluciones multimodales (procesamiento de voz e imágenes).
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Cualidades y Soft Skills: Trabajo colaborativo, apertura al feedback dentro de un equipo pequeño, autonomía alineada a decisiones de arquitectura, comunicación clara, criterio técnico y fuerte capacidad de ejecución.
</li>
</ul>
<h2>Deseables </h2>
<ul>
<li>
Optimización: Experiencia comprobable en fine-tuning y evaluación de modelos.
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Observabilidad: Conocimiento en herramientas específicas para IA como Langfuse, LangSmith o similares.
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Gateways: Experiencia con MCP, LiteLLM o implementación de gateways de modelos.
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Canales Conversacionales: Experiencia desarrollando integraciones para WhatsApp, web chats u otras plataformas de mensajería. 
</li>
</ul>
<div>
<div>
<h2>Beneficios</h2>
</div>
<ul>
<li>100% remoto</li>
<li>Compromiso a largo plazo, con autonomía e impacto</li>
<li>Rol estratégico y de alta visibilidad en una cultura de ingeniería moderna</li>
<li>Equipo internacional colaborativo y liderazgo técnico sólido</li>
<li>Plan de carrera y crecimiento dentro de Coderio</li>
</ul>
<div>
<h3>¿Por qué unirte a Coderio?</h3>
<div>En Coderio valoramos el talento sin importar la ubicación. Somos una empresa remote-first,apasionada por la tecnología, el trabajo colaborativo y la compensación justa. Ofrecemos un entorno inclusivo, desafiante y con oportunidades reales de crecimiento. Si te motiva construir soluciones con impacto, te estamos esperando. </div>
<div>Postula ahora.</div>
</div>
</div>

Sr IA Engineer

<h3>About Us</h3>
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
🌍 More information: <a rel="noopener noreferrer ugc" href="http://coderio.com/" target="_blank">http://coderio.com</a>
We are looking for a Senior Data Engineer to design, build, and optimize scalable, high-performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python, SQL, Apache Spark, AWS, and modern data engineering architectures, with proven experience working with production-grade systems in fast-paced environments.
Candidates must reside exclusively in Argentina, Brazil, or Uruguay.
<h3>What You Can Expect (Responsibilities)</h3>
<ul>
<li>
Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse global sources.
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Design, scale, and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data.
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Collaborate with Data Scientists, Software Engineers, and Product Managers to understand business needs and translate them into scalable, reliable data solutions.
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Implement and enforce data quality frameworks, automated testing, monitoring, and alerting to ensure data integrity, reliability, high availability, and compliance with SLAs.
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Drive the adoption of DataOps practices, including CI/CD, workflow automation, and Infrastructure as Code (IaC) for data systems.
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Champion data governance, privacy, and security standards across data storage and compute layers, including GDPR/LGPD compliance.
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Mentor and guide junior and mid-level Data Engineers, promoting engineering excellence, best practices, and modern architectural patterns.
</li>
</ul>
<h3>Requirements</h3>
<ul>
<li>
5+ years of experience in Data Engineering, Big Data, or related Software Engineering roles, with a proven track record managing high-volume, production-grade data systems in fast-paced environments.
</li>
<li>
Strong proficiency in Python and SQL for complex data processing, optimization, and software development; Scala or Java experience is a plus.
</li>
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Hands-on experience with Apache Spark/PySpark, Delta Lake, and modern lakehouse architectures, including Data Mesh principles.
</li>
<li>
Strong expertise in AWS data services, particularly S3, Glue, Athena, EventBridge, Firehose, and Lambda.
</li>
<li>
Solid experience with data orchestration and warehousing technologies, including Apache Airflow or similar DAG-based tools and platforms such as Snowflake, AWS Redshift, or Google BigQuery.
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Experience designing real-time streaming architectures using technologies such as Apache Kafka or AWS Kinesis, as well as familiarity with modern data transformation and modeling tools such as dbt.
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Strong knowledge of DevOps/DataOps practices, including Git, Docker, CI/CD pipelines (GitHub Actions, GitLab CI, or similar), Infrastructure as Code, and cloud platforms such as AWS or GCP.
</li>
<li>Advanced English proficiency is required, with the ability to communicate effectively in English in both technical and non-technical contexts.</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>
Previous experience in Fintech, Payments, E-commerce, or other high-growth technology environments, particularly working with financial transactions or highly regulated data.
</li>
<li>
Experience with Databricks and advanced cloud lakehouse architectures.
</li>
<li>
Knowledge of data privacy, governance, and security frameworks, including GDPR/LGPD, as well as experience implementing secure data platforms.
</li>
<li>
Experience with Infrastructure as Code tools such as Terraform, advanced DataOps automation, and mentoring Data Engineers or contributing to technical architecture decisions.
</li>
</ul>
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<h3>Benefits</h3>
<ul>
<li>100% remote</li>
<li>Long-term commitment, with autonomy and meaningful impact</li>
<li>Strategic, high-visibility role within a modern engineering culture</li>
<li>Collaborative international team with strong technical leadership</li>
<li>Career development and growth opportunities within Coderio</li>
</ul>
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</section>
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<h3>Why join Coderio?</h3>
At Coderio, we value talent and excellence. While we are primarily a remote-first company, this specific strategic role offers the opportunity to work directly on-site to drive high-stakes initiatives. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you. Apply now.
</div>

Senior Data Engineer AWS

<div>
<h2>About Us</h2>
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
🌍 More information:<a href="http://coderio.com/" rel="noopener noreferrer ugc" target="_blank"> http://coderio.com</a>
We are looking for a Senior Data Scientist Lead to join one of our international clients and lead the design, development, and delivery of data science solutions that generate measurable business value.
This is a high-impact technical leadership role for an experienced Data Scientist who combines strong hands-on expertise with the ability to guide technical decisions, mentor other data professionals, and collaborate with business and engineering stakeholders.
You will work across the full data science lifecycle, from understanding business problems and defining analytical approaches to developing machine learning models, deploying solutions to production, and continuously improving their performance.
The ideal candidate is highly analytical, hands-on, business-oriented, and comfortable working with cloud-based data and machine learning environments, particularly AWS.
<h2>What To Expect In This Role (Responsibilities)</h2>
<ul>
<li>
Data Science Leadership: Lead the design and implementation of data science initiatives, defining methodologies, technical approaches, and best practices across projects.
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Machine Learning &amp; Modeling: Develop, evaluate, and optimize statistical and machine learning models to solve complex business problems and generate actionable insights.
</li>
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End-to-End Data Science: Own the complete data science lifecycle, including data exploration, feature engineering, model development, validation, deployment, monitoring, and continuous improvement.
</li>
<li>
AWS &amp; Cloud Solutions: Design and implement scalable data science and machine learning solutions leveraging AWS cloud services and best practices.
</li>
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Technical Leadership: Provide technical guidance to Data Scientists and other technical team members, promoting high-quality engineering and analytical practices.
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Business Collaboration: Work closely with business stakeholders, product teams, data engineers, and software engineers to translate business challenges into effective data-driven solutions.
</li>
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Model Performance &amp; Optimization: Monitor model performance, identify opportunities for improvement, and ensure solutions remain accurate, scalable, and aligned with business objectives.
</li>
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Data Strategy: Contribute to the definition of data science strategies, analytical frameworks, and best practices that support long-term business growth.
</li>
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Knowledge Sharing: Mentor team members, conduct technical reviews, and promote knowledge sharing across the organization.
</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>
Experience: 6+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, or a related field, with proven experience leading technical initiatives or teams.
</li>
<li>
Data Science Expertise: Strong hands-on experience with statistical modeling, machine learning algorithms, predictive analytics, experimentation, and data-driven problem solving.
</li>
<li>
Programming: Advanced proficiency in Python, with experience using common data science and machine learning libraries such as Pandas, NumPy, Scikit-learn, or similar.
</li>
<li>
Machine Learning: Strong understanding of supervised and unsupervised learning, model evaluation, feature engineering, optimization, and production machine learning practices.
</li>
<li>
AWS: Solid hands-on experience designing or implementing data science and machine learning solutions in AWS environments.
</li>
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Data &amp; SQL: Strong SQL skills and experience working with large datasets, data warehouses, and complex data environments.
</li>
<li>
Technical Leadership: Proven ability to lead technical discussions, make architecture and modeling decisions, mentor other professionals, and drive projects from concept to production.
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<li>
Communication: Advanced English proficiency, with the ability to communicate complex technical concepts clearly with international teams, stakeholders, and leadership.
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Problem Solving: Strong analytical and critical-thinking skills, with a pragmatic approach to solving complex business and technical challenges.
</li>
</ul>
<h2>Nice to Have</h2>
<ul>
<li>
Experience with AWS services such as SageMaker, S3, Glue, Redshift, Lambda, EMR, or Athena.
</li>
<li>
Experience deploying and monitoring machine learning models in production.
</li>
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Experience with MLOps and ML lifecycle automation.
</li>
<li>
Experience with Spark or other distributed data processing frameworks.
</li>
<li>
Experience with Docker and Kubernetes.
</li>
<li>
Experience with Generative AI, LLMs, RAG, or NLP solutions.
</li>
<li>
AWS certifications related to Data, Machine Learning, or Solutions Architecture.
</li>
<li>
Experience working in financial services or other data-intensive industries.
</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>
100% remote work.
</li>
<li>
Long-term engagement with international clients.
</li>
<li>
High-impact technical leadership role.
</li>
<li>
Opportunity to influence data science and machine learning strategy.
</li>
<li>
Collaborative international environment with experienced technical teams.
</li>
<li>
Continuous learning and professional growth opportunities.
</li>
</ul>
<h2>Why Join Coderio?</h2>
At Coderio, we value talent regardless of location. We are a fully remote company, passionate about technology, collaboration, and technical excellence. We offer an inclusive and challenging environment where experienced professionals can take ownership, influence technical strategy, and work on meaningful projects with global clients.
If you are an experienced Data Scientist who enjoys combining hands-on technical work with leadership, mentoring, and business impact, we'd love to hear from you.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Coderio

Open jobs at Coderio

Especialista Data Engineer (Sr.)

Senior Agentic AI Developer

Sr IA Engineer

Senior Data Engineer AWS

Sr Data Scientist Lead

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