Devsu

**Funciones:** - Diseñar, desarrollar y ejecutar pruebas automatizadas para validar funcionalidades. - Colaborar con el equipo de desarrollo y producto para entender requerimientos y criterios de aceptación. - Documentar y reportar defectos de manera clara y precisa. - Participar en la definición de estrategias de prueba. - Ejecutar pruebas en entornos que incluyan modelos de datos complejos. - Desarrollar scripts de pruebas y mantenerlos actualizados. - Validar calidad de datos y funcionamiento en bases de datos SQL y NoSQL. - Utilizar herramientas de automatización de pruebas como Cypress, Karate, Serenity, K6, entre otras. - Apoyar la mejora continua de los procesos de testing. - Utilizar herramientas de inteligencia artificial, como GitHub Copilot u otras similares, cuando aplique, para apoyar tareas relacionadas con revisión de scripts, generación de escenarios de prueba, documentación o análisis de errores.

• Diseñar, desarrollar y ejecutar pruebas automatizadas para aplicaciones web, móviles, APIs y validaciones de datos. • Validar integridad, consistencia y calidad de datos en bases de datos SQL y NoSQL. • Ejecutar pruebas funcionales, de integración, regresión y end-to-end. • Diseñar y mantener scripts y frameworks de automatización reutilizables. • Validar procesos de integración, transformación y procesamiento de datos. • Ejecutar consultas SQL para análisis, conciliación y validación de información. • Validar APIs REST y servicios backend. • Identificar, documentar y realizar seguimiento de defectos e incidencias. • Colaborar con equipos de desarrollo, producto y negocio para definir estrategias de testing y criterios de aceptación. • Participar activamente en ceremonias ágiles y procesos de mejora continua. • Ejecutar pruebas en entornos con alto volumen transaccional y procesamiento de datos críticos. • Apoyar pruebas de performance y carga cuando sea requerido.

Role Description Buscamos un/a Ingeniero/a QA Automation con experiencia comprobada en automatización de pruebas de software y conocimientos en el uso de herramientas de inteligencia artificial aplicadas a procesos de QA. Esta posición es remota para personas ubicadas en LATAM. - Diseñar, desarrollar y ejecutar pruebas automatizadas para validar funcionalidades. - Colaborar con el equipo de desarrollo y producto para entender requerimientos y criterios de aceptación. - Documentar y reportar defectos de manera clara y precisa. - Participar en la definición de estrategias de prueba. - Ejecutar pruebas en entornos que incluyan modelos de datos complejos. - Desarrollar scripts de pruebas y mantenerlos actualizados. - Validar calidad de datos y funcionamiento en bases de datos SQL y NoSQL. - Utilizar herramientas de automatización de pruebas como Cypress, Karate, Serenity, K6, entre otras. - Apoyar la mejora continua de los procesos de testing. - Utilizar herramientas de inteligencia artificial, como GitHub Copilot u otras similares, cuando aplique, para apoyar tareas relacionadas con revisión de scripts, generación de escenarios de prueba, documentación o análisis de errores. Qualifications - Mínimo 3 años de experiencia comprobada como Ingeniero QA. - Experiencia en automatización de pruebas de software. - Habilidades de programación básicas a intermedias. - Experiencia en pruebas de software, preferiblemente en entornos de desarrollo de modelos de datos. - Conocimiento en metodologías de pruebas y diseño de casos de prueba. - Manejo de bases de datos SQL y NoSQL. - Experiencia con herramientas de automatización como Serenity, Karate, K6, Cypress, Protractor, TestCafe, Appium, entre otras. - Conocimiento o experiencia utilizando herramientas de inteligencia artificial aplicadas a QA Automation, preferiblemente GitHub Copilot, Claude, ChatGPT. Requirements - Deseables: - Certificación ISTQB o similar. - Conocimiento de buenas prácticas de desarrollo: Git, TDD, revisiones de código, CI/CD. - Experiencia en herramientas RPA. - Experiencia previa en entornos ágiles. - Formación o certificación en IA aplicada a QA (Copilot, Claude, ChatGPT, AI-assisted testing, prompt engineering). Benefits - Un contrato estable a largo plazo con oportunidades de crecimiento profesional. - Seguro médico privado. - Programas continuos de capacitación, mentoría y aprendizaje para mantenerte a la vanguardia de la industria. - Acceso gratuito a recursos de capacitación en IA y herramientas de IA de última generación para elevar tu trabajo diario. - Una política flexible de tiempo libre remunerado (PTO) además de días festivos pagados. - Proyectos de software desafiantes de clase mundial para clientes en Estados Unidos y Latinoamérica. - Colaboración con algunos de los ingenieros de software más talentosos de Latinoamérica y Estados Unidos, en un entorno de trabajo diverso.

We are looking for a** IT Support Engineer** with experience in server infrastructure management in either Windows or Linux work remotely from anywhere in Latin America. You will be working in an agile environment, with an awesome team on the implementation of world-class software products. • Technical support continuous integration and delivery pipeline. • Drive technical innovation and efficiency in cloud infrastructure operations via integration duties relative to platform support and service delivery. • Facilitate after hours infrastructure deployment efforts as planned. • Support development and QA teams in their deployment efforts as needed. • Open change tickets as needed to facilitate release automation processes. • Ensure pipeline platforms are redundant and backed up as needed. • Communicate effectively and appropriately, deferring to management on communicating with external teams as needed. • Provide internal and external customers with excellent customer service. • Attend departmental, project and general meetings and effectively represent current status as appropriate. • Participate in company provided training and perform independent training and research as appropriate. • Install system patches and application updates as directed. • Assist in other production support efforts as needed.

• Diseñar y desarrollar soluciones de datos alineadas con la visión de Arquitectura de Datos. • Crear y optimizar ETLs, ELTs y APIs para manejo eficiente de datos. • Implementar estrategias de testing para validar calidad funcional y no funcional. • Proponer mejoras continuas en procesos y productos de datos. • Resolver incidencias técnicas y documentar soluciones conforme a estándares. • Mentorizar y apoyar el onboarding de nuevos integrantes del equipo.

• Desarrollar y mantener aplicaciones frontend utilizando Angular (v14 o superior) y TypeScript. • Diseñar e implementar componentes modulares, reutilizables y escalables. • Aplicar principios de **Clean Code, Clean Architecture y SOLID**. • Realizar pruebas unitarias y automatizadas. • Colaborar en code reviews y desarrollo en pares, garantizando calidad de entregables. • Detectar y resolver problemas en pipelines de CI/CD (Azure DevOps u otras plataformas). • Implementar buenas prácticas de seguridad en el desarrollo para prevenir vulnerabilidades (XSS, CSRF, manejo seguro de tokens). • Asegurar que las soluciones cumplan con requerimientos funcionales y no funcionales. • Colaborar con equipos multidisciplinarios (QA, DevOps, Arquitectura).

Role Description Buscamos un Ingeniero de Datos con amplia experiencia en el ciclo completo de desarrollo de soluciones de información, incluyendo: - Análisis - Diseño - Desarrollo - Certificación - Despliegue - Mantenimiento El candidato ideal debe demostrar sólidos conocimientos en optimización de bases de datos y un enfoque proactivo para superar limitaciones técnicas o de procesos, asegurando soluciones robustas, eficientes y alineadas con las mejores prácticas de desarrollo. Se valorará la capacidad de liderar y colaborar con equipos multidisciplinarios para acelerar el cumplimiento de objetivos. Es una posición remota en LATAM, en donde serás asignado/a a uno de nuestros clientes más importantes en el sector financiero/bancario de Latinoamérica. Trabajarás en un entorno ágil, con un equipo increíble en la implementación de productos de software de clase mundial. Qualifications - Bases de datos relacionales y NoSQL - Diseño de Datawarehouse, Datamarts, Datalakes y Lakehouse - Procesamiento distribuido con Hadoop, Spark y arquitecturas batch/streaming - Desarrollo en Python, Scala o Java, aplicando principios de Clean Code - Construcción de pipelines con herramientas ETL (Azure Data Factory, AWS Glue, SSIS) - Estrategias de DataOps/MLOps y despliegue CI/CD - Deseable: Certificaciones en AWS, Azure, o Big Data, y experiencia en arquitecturas modernas como Data Mesh o Data Fabric Requirements - Diseñar y desarrollar soluciones de datos alineadas con la visión de Arquitectura de Datos - Crear y optimizar ETLs, ELTs y APIs para manejo eficiente de datos - Implementar estrategias de testing para validar calidad funcional y no funcional - Proponer mejoras continuas en procesos y productos de datos - Resolver incidencias técnicas y documentar soluciones conforme a estándares - Mentorizar y apoyar el onboarding de nuevos integrantes del equipo Tools and Technologies - Apache Spark, Kafka, Flink, Hadoop, HDFS - Servicios Cloud: AWS, Azure, GCP - Lenguajes: Python, Scala, Java Benefits - Un contrato estable a largo plazo - Entrenamiento contínuo - Seguro de Salud Privado - Trabajarás con algunos de los ingenieros de software más talentosos de América Latina y los EEUU, haciendo un trabajo desafiante y software de clase mundial

Role Description We are looking for an IT Support Engineer with experience in server infrastructure management in either Windows or Linux to work remotely from anywhere in Latin America. You will be working in an agile environment, with an awesome team on the implementation of world-class software products. - Technical support for continuous integration and delivery pipeline. - Drive technical innovation and efficiency in cloud infrastructure operations via integration duties relative to platform support and service delivery. - Facilitate after hours infrastructure deployment efforts as planned. - Support development and QA teams in their deployment efforts as needed. - Open change tickets as needed to facilitate release automation processes. - Ensure pipeline platforms are redundant and backed up as needed. - Communicate effectively and appropriately, deferring to management on communicating with external teams as needed. - Provide internal and external customers with excellent customer service. - Attend departmental, project, and general meetings and effectively represent current status as appropriate. - Participate in company-provided training and perform independent training and research as appropriate. - Install system patches and application updates as directed. - Assist in other production support efforts as needed. Qualifications - Fluent in English (B2 or C1 desired). - Minimum 3-5 years of experience with server infrastructure management in either Windows or Linux. - Strong familiarity with Linux or Windows Server platforms support and eagerness to continue building skill expertise in new platform capabilities. - Basic understanding of scripting languages, such as PowerShell, Ruby, or Python, and openness to adding others as required by daily tasks. - Familiarity with Azure preferred; experience/exposure in AWS or GCP is acceptable. - Leading candidates will have both cloud infrastructure and operations education and/or experience. - Conversant in or willing to learn git source code management capabilities. - Experience/exposure supporting applications that run on Web services and Java and other virtual machine technologies, IIS, or Apache web servers. - Experience/exposure to Magnolia Java Platform served on Tomcat. - Experience/exposure to load balancing methodologies and technologies. - Intermediate to advanced troubleshooting skills in the technologies that you are proficient in. - Familiar with agile work management principles and tools. - General ITIL experience for operations support. - Experience using MySQL. Benefits - A stable, long-term contract. - Continuous training. - Private health insurance. - Flexible schedule. - Work with some of the most talented software engineers in Latin America and the US, doing challenging work and world-class software for clients in the US and around the world.

Role Description We are looking for an Application Support Engineer to provide production support for cloud-native media applications running on Google Cloud Platform (GCP) and Kubernetes. This role focuses on L2/L3 application support, incident response, root cause analysis (RCA), and on-call rotations for services built in Go and deployed using GKE, Cloud Run, and GCP Workflows. You will support platforms for live streaming, video transcoding, Video-on-Demand (VOD), and Media Asset Management (MAM) in high-availability, time-sensitive environments. Full-time (40h) role with on-call rotations, including weekend coverage. Responsibilities - Provide L2/L3 production support for critical media applications - Troubleshoot application, platform, and infrastructure issues across GCP and Kubernetes - Analyze logs, metrics, and traces to identify root causes - Resolve incidents using runbooks and SOPs, escalating when required - Partner with Engineering and SRE teams, providing clear technical context - Support live streaming pipelines and video transcoding workflows - Diagnose issues related to: - Stream ingest failures - Transcoder job errors and performance bottlenecks - Output quality, latency, and availability - Participate in on-call rotations, including weekends - Document incidents, RCAs, corrective and preventive actions - Continuously improve monitoring, alerting, runbooks, and SOPs Qualifications - Experience in Application Support, Production Support, or Reliability Engineering roles - Hands-on experience with Go (code reading and debugging) - Strong experience with Kubernetes and Google Cloud Platform (GCP) - Proven experience supporting live streaming and video transcoding workflows - Experience participating in on-call rotations - Strong analytical and troubleshooting skills - Ability to perform effectively during high-pressure incidents Requirements - Experience in media, broadcast, or streaming platforms (Nice to Have) - Familiarity with live event operations (Nice to Have) - Experience with Grafana, Prometheus, or similar monitoring tools (Nice to Have) - Experience with ServiceNow, PagerDuty, Slack (Nice to Have) - Understanding of SRE concepts (SLIs, SLOs, error budgets) (Nice to Have) Benefits - A stable, long-term contract with opportunities for career growth - Private health insurance - A remote-friendly culture that promotes work-life balance - Continuous training, mentorship, and learning programs to keep you at the forefront of the industry - Free access to AI training resources and state-of-the-art AI tools to elevate your daily work - A flexible Paid Time Off (PTO) policy as well as paid holiday days - Challenging, world-class software projects for clients in the US and LatAm - Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment

Role Description We are seeking a Site Reliability Engineer (SRE) with deep expertise in monitoring, observability, and reliability engineering to support systems running across on-premises infrastructure and Google Cloud Platform (GCP). This role is primarily responsible for designing, operating, and improving monitoring, alerting, and observability platforms, with a strong focus on Grafana and Kubernetes environments. As a secondary responsibility, this role provides backup coverage for the Application Support team during periods of resource constraints or major incidents, offering L2/L3 technical support when required. Responsibilities - Monitoring & Observability (Core Focus) - Own and operate the monitoring and observability stack across on-prem and GCP environments - Design, build, and maintain Grafana dashboards for infrastructure, Kubernetes, and applications - Define, tune, and maintain alerts to ensure high signal-to-noise ratio - Establish observability standards and best practices across teams - Improve visibility into system health, performance, and reliability - Site Reliability Engineering - Apply SRE principles to improve availability, performance, and resilience - Define and track SLIs, SLOs, and error budgets - Participate in on-call rotations and SEV incident response - Lead or contribute to incident investigations and root cause analysis (RCA) - Drive preventative actions to reduce repeat incidents - Kubernetes & Platform Reliability - Support and monitor Kubernetes environments (GKE and on-prem clusters) - Monitor cluster health, capacity, and resource utilization - Troubleshoot platform-level issues impacting application reliability - Collaborate with Platform and Engineering teams on reliability improvements - Secondary Responsibilities (Backup Application Support) - Provide L2/L3 application support coverage during: - Support team resource shortages - High-severity incidents (SEVs) - Peak support periods or escalations - Triage and troubleshoot application issues using existing runbooks and dashboards - Collaborate with Application Support and Engineering teams during incidents - Ensure all actions, findings, and resolutions are documented in ServiceNow (SNOW) Qualifications - Strong experience as a Site Reliability Engineer or Reliability Engineer - Deep hands-on expertise with Grafana (dashboards, alerting, troubleshooting) - Solid experience with monitoring and observability systems - Production experience operating Kubernetes environments - Experience supporting systems in GCP and on-prem environments (mandatory) - Strong Linux systems and troubleshooting skills - Fluent English (written and spoken) - Ability to work in PST time zone - Ability to participate in an on-call rotation that includes coverage for one weekend day Requirements - Technology Stack: - Observability: Grafana, Prometheus, logging platforms - Containers: Kubernetes (GKE and on-prem) - Cloud: Google Cloud Platform (GCP) - Operations: Linux, networking, infrastructure monitoring - Incident Tools: PagerDuty, ServiceNow, Slack (or equivalents) - Nice to have: - Experience supporting application teams during SEV incidents - Knowledge of capacity planning and performance tuning - Scripting skills (Python, Bash, etc.) - Experience with hybrid infrastructure environments Benefits - A stable, long-term contract with opportunities for career growth - Private health insurance - A remote-friendly culture that promotes work-life balance - Continuous training, mentorship, and learning programs to keep you at the forefront of the industry - Free access to AI training resources and state-of-the-art AI tools to elevate your daily work - A flexible Paid Time Off (PTO) policy as well as paid holiday days - Challenging, world-class software projects for clients in the US and LatAm - Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment