AWS Jobs in Quito.
All active AWS roles based in Quito.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.
Estamos en búsqueda de Ingeniero Cloud,
Principales responsabilidades:
1. Implementación de soluciones Cloud
- Configurar, desplegar y dar soporte a la infraestructura en la nube, asegurando alineación con las especificaciones de diseño.
- Utilizar herramientas de automatización e infraestructura como código para la creación y gestión de entornos Cloud.
- Trabajar en conjunto con el equipo DevOps para integrar pipelines de CI/CD, permitiendo una entrega ágil de la infraestructura.
- Implementar políticas y soluciones de seguridad Cloud para la protección de datos y recursos.
- Supervisar el cumplimiento de normativas y mejores prácticas de seguridad.
2. Colaboración y comunicación
- Colaborar con equipos multidisciplinarios para asegurar la eficacia de las soluciones Cloud implementadas.
- Mantener documentación clara y detallada sobre arquitectura, configuraciones y procesos.
- Apoyar la creación de arquitecturas de referencia que incluyan servicios de almacenamiento, redes, bases de datos y cómputo.
3. Actualización continua
- Mantenerse actualizado sobre tendencias, nuevas tecnologías y buenas prácticas en entornos Cloud.
- Título de tercer nivel en Ingeniería en Sistemas, Ciencias de la Computación o carreras afines.
- Experiencia mínima de 1 año en roles similares.
- Experiencia deseable en empresas del sector financiero.
- Plataformas Cloud: familiaridad con AWS, Azure, Google Cloud.
- Servicios Cloud: comprensión de IaaS, PaaS y SaaS.
- Automatización / IaC: uso de herramientas como Terraform, CloudFormation, Azure ARM.
- Seguridad en la nube: mejores prácticas de seguridad y compliance.
- Redes y conectividad: redes virtuales, VPNs y conectividad entre nubes.
- DevOps y CI/CD: experiencia con herramientas de integración y entrega continua (Azure DevOps).
- Contenedores y orquestación: conocimientos de Docker y Kubernetes.
- Monitoreo y gestión: uso de herramientas como CloudWatch (AWS), Azure Monitor o Stackdriver (GCP).
- Metodologías ágiles: Scrum, Kanban u otras.
Certificaciones
- Certificaciones Cloud como AWS Certified Solutions Architect, Azure Administrator, u otras equivalentes.
Ofrecemos:
-
Póliza de vida
-
Seguro médico privado
-
Plataformas de capacitación y entrenamiento
-
Contratación bajo relación de dependencia
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
Santiago Velasquez
#LI-SV1
Ready to apply?
Apply to NEORIS
NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.
Estamos en búsqueda de DevOps,
Responsabilidades desempeñadas
- Diseñar e implementar pipelines CI/CD confiables.
- Administrar y optimizar Kubernetes y Docker en cloud y on‑prem.
- Automatizar procesos de pruebas, despliegues y monitoreo.
- Configurar y gestionar recursos cloud (redes, storage, cómputo).
- Integrar prácticas de seguridad en cada etapa del desarrollo.
- Gestionar repositorios y promover buenas prácticas de código.
- Implementar estrategias de SRE para asegurar disponibilidad y rendimiento.
- Administrar configuraciones con Ansible, Chef o Puppet.
- Liderar decisiones técnicas y optimización de arquitecturas mixtas
Conocimientos técnicos clave
Cloud & Infraestructura
- AWS, Azure y GCP (entornos híbridos).
- AWS: VPC, IAM, S3, EKS, ELB, ECR, CloudWatch.
- Infraestructura como Código (Terraform, CloudFormation).
Contenedores & Orquestación
- Kubernetes: gestión avanzada de clústeres híbridos.
- Docker: construcción y despliegue de contenedores.
- Gestión de mallas de servicio y paquetes Kubernetes.
CI/CD & Automatización
- Diseño e implementación de pipelines CI/CD.
- Azure DevOps para despliegues automatizados.
- Automatización de pruebas, despliegues y monitoreo.
Lenguajes & Scripting
- Python, Bash, Go (automatización).
- Conocimientos en Java, .NET y Angular.
DevSecOps & SRE
- Seguridad integrada al ciclo de vida (DevSecOps).
- Prácticas de Site Reliability Engineering:
- Monitoreo
- Escalabilidad
- Performance
- Confiabilidad
Ofrecemos:
-
Póliza de vida
-
Seguro médico privado
-
Plataformas de capacitación y entrenamiento
-
Contratación bajo relación de dependencia
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
Santiago Velasquez N
#LI-sv1
Ready to apply?
Apply to NEORIS
Senior Machine Learning Engineer
Share this job
Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.
- You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
- You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
- You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks.
- You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape.
- You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers.
- You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives.
- You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements.
Job qualifications
Technical Skills
- An advanced English level is required.
- You must have a strong experience with LLM and AI.
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code.
- You are proficient in scripting languages such as Python or Shell for automation and task streamlining.
- You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications.
- You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Remote
Ready to apply?
Apply to Referrals Only
Lead Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.
Estamos en búsqueda de Data Engineer
Principales responsabilidades:
- Analizar la necesidad basado en definiciones y diseños recibidos.
- Participar en la etapa de diseño de Ingeniería de la solución con altos estándares de eficiencia y alineadas a la visión de Arquitectura de Datos.
- Desarrollo y despliegue de productos de datos como: ETLs, ELTs, APIs, que permitan disponibilizar información, observando estándares y herramientas provistas por banco así como buenas prácticas de Desarrollo (como Clean Code) que garanticen soluciones eficientes (en términos de consumo de recursos y tiempos de respuesta), efectivas, legibles y de fácil mantenimiento en el tiempo.
- Aplicar estrategias de validación que permitan verificar la correcta implementación de criterios funcionales y no funcionales.
- Aplicar procesos de mejora continua de los productos en desarrollo.
Requerimientos:
- Gestión de base de datos y experiencia en tareas de optimización de: Scripts, SPs y otros objetos destinados al tratamiento de datos.
- Modelamiento de bases de datos relacionales y no relacionales
- Experiencia en construcción de: Datawarehouse, Datamarts y Datalake.
- Familiaridad con los diferentes componentes y su interacción en tecnologías Cloud orientadas a soluciones Big Data.
- Construcción de ETLs, ELTs y gestión de información con grandes volúmenes de datos.
- Buenas prácticas y principios de desarrollo como Clean Code.
- Conocimiento de marcos de trabajo ágiles y estrategias DataOps
- Estrategias de testing orientado a Datos tanto para pruebas funcionales y como no funcionales.
- Formación en sistemas de ficheros distribuidos como Hadoop, HDFS o Spark.
- Procesamiento batch con tecnologías Big Data
HERRAMIENTAS / LENGUAJES
- BDD relacionales: SQL server, postgresql, Oracle, etc.
- BDD no relacional: Mongo DB,Cassandra, ElasticSearch, Neo4J, etc
- ETL:SQL Server Integration Services (SSIS), Pentaho (Kettle), SAP Data Services, etc.
- Cloud: AWS, Google Cloud Platform y Microsoft Azure.
- Pipeline Cloud: STRATIO, MS Azure Data Factory, AWS Glue, DataFlow, etc.
- Lenguaje y Framework: Python - Spark-Pyspark
Ofrecemos:
- Cultura de innovación y crecimiento profesional
- Vinculación a tiempo indeterminado (relación de dependencias)
- Beneficios legales
- Seguro médico privado
- Póliza de vida
- Día libre de cumpleaños
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
Manuel Lunahuana
#LI-ML2
Ready to apply?
Apply to NEORIS
NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.
Estamos en búsqueda de Lider QA,
Principales responsabilidades:
- Diseñar, desarrollar y mantener pruebas automatizadas para aplicaciones web y móviles (iOS y Android).
- Implementar frameworks de automatización utilizando Cypress, Serenity y Appium.
- Ejecutar pruebas automatizadas y analizar resultados para asegurar la calidad del software.
- Colaborar con equipos de desarrollo en entornos ágiles para asegurar entregables de alta calidad.
- Integrar pruebas automatizadas en pipelines CI/CD.
- Gestionar y dar seguimiento a actividades de testing a través de Jira y Azure DevOps.
- Documentar casos de prueba, resultados y hallazgos de manera clara y estructurada.
- Apoyar en pruebas de carga y rendimiento (cuando aplique).
- Trabajar con servicios en la nube (AWS) para soportar ambientes de prueba
- Título en Ingeniería en Sistemas, Ciencias de la Computación o carreras afines.
- Mínimo 3 años de experiencia en automatización de pruebas.
- Experiencia sólida con Cypress, Serenity y Appium.
- Programación en Java y JavaScript.
- Uso de herramientas de gestión como Jira y Azure DevOps.
- Familiaridad con AWS Services para implementaciones de prueba.
Conocimientos técnicos:
- Pruebas automatizadas para aplicaciones web y móviles.
- BDD y herramientas como Cucumber.
- Integración de pruebas en CI/CD pipelines.
- Deseable: experiencia en pruebas de carga y rendimiento.
- Seguro Médico privado
- Plataformas de capacitación y entrenamiento
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
Santiago Velasquez
#LI-SV1
Ready to apply?
Apply to NEORIS