GCP Jobs in Ecuador.
All active GCP roles based in Ecuador.
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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 Developer Java & GCP
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Senior Software Developers collaborate with Business and Quality Analysts, Designers, Project Managers and more to design software solutions that will create meaningful change for our clients. They listen thoughtfully to understand the context of a business problem and write clean and iterative code to deliver a powerful end result whilst consistently advocating for better engineering practices. By balancing strong opinions with a willingness to find the right answer, Senior Software Developers bring integrity to technology, ensuring all voices are heard.
For a team to thrive, it needs collaboration and room for healthy, respectful debate. Senior Developers are the technologists who cultivate this environment while driving teams toward delivering on an aspirational tech vision and acting as mentors for more junior-level consultants. You will leverage deep technical knowledge to solve complex business problems and proactively assess your team’s health, code quality and nonfunctional requirements.
Job responsibilities
- You will learn and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns.
- You will use and advocate for continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible.
- You will work in collaborative, value-driven teams to build innovative customer experiences for our clients.
- You will create large-scale distributed systems out of microservices.
- You will collaborate with a variety of teammates to build features, design concepts and interactive prototypes and ensure best practices and UX specifications are embedded along the way.
- You will apply the latest technology thinking from our Technology Radar to solve client problems.
- You will efficiently utilize DevSecOps tools and practices to build and deploy software, advocating devops culture and shifting security left in development.
- You will oversee or take part in the entire cycle of software consulting and delivery from ideation to deployment and everything in between.
- You will act as a mentor for less-experienced peers through both your technical knowledge and leadership skills.
Job qualifications
Technical Skills
- Strong experience in Java / Spring.
- Strong experience in GCP.
- Desirable experience on ReactJS
- English (high advanced)
Professional Skills
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
- Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more.
- You’re resilient in ambiguous situations and can approach challenges from multiple perspectives.
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.
Responsible Use of AI in Recruitment
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
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 OnlySenior Machine Learning Engineer
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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 OnlyNEORIS 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