Platform Engineer Jobs in Ecuador.
All active Platform Engineer roles based in Ecuador.
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Lead Machine Learning Engineer
Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.
As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.
Job responsibilities
- You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals.
- You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation.
- You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency.
- You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects.
- You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
- As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement.
- You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions.
- You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation.
- You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing.
- You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization.
Job qualifications
Technical Skills
- You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs.
- You can design and execute cross-functional requirements based on business priorities.
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell.
- You have experience with 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.
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
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 Thoughtworks
Lead Data Engineer
Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution.
Job responsibilities
- You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
- You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
- You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.
- You will collaborate with data scientists to design scalable implementations of their models.
- You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
- You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available.
- You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
- You will be responsible for data governance, data security and data privacy to support business and compliance requirements.
- You will define the strategy for and incorporate data quality into your day-to-day work.
Job qualifications
Technical Skills
- You have experience with the Databricks platform.
- You have experience in Gen/AI and LLMs.
- You have experience in leading the system design and implementation of technical solutions.
- Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems.
- You have a deep understanding of data modeling and experience with modern data engineering tools and platforms.
- You have experience in writing clean, high-quality code using the preferred programming language.
- You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
- You have experience with data visualization techniques and can communicate the insights as per the audience.
- You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
- You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
Professional Skills
- You have advanced English.
- 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 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.
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
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
Senior Full Stack Engineer - Contract-to-Hire
Remote in Peru, Ecuador, Mexico, Brazil, Argentina, or any EST time zone fitting location
We are seeking a Senior Full Stack Engineer (Contractor) to join our dynamic Engineering team. This role is fully remote, offering an opportunity to contribute to exciting projects with the potential to transition into a long-term contractor position. As part of our highly experienced engineering team, you’ll work closely with Dave Brennan and be part of his team, giving you the opportunity to collaborate with him directly, learn from his experience, influence design decisions, and drive innovation while keeping the customer’s needs at the forefront.
WHO YOU ARE
As a Senior Full Stack Engineer (Contractor), you will develop advanced solutions using cutting-edge technologies, including cloud-based services, containerization, AI-driven features, adaptive process automation, and more. We’re looking for a passionate and innovative developer eager to build and scale the next wave of Hyperproof’s capabilities.
This role is a great opportunity for engineers who thrive in a collaborative, fast-paced environment and enjoy working on both frontend and backend solutions.
WHAT YOU WILL DO
- Develop and design engaging user experiences using TypeScript and React, Java, C#; Go experience is also valuable.
- Design backend components, including REST APIs, queueing, storage systems, security layers (role-based access control, encryption), and more.
- Leverage AI-powered development tools (e.g., code assistants, automated testing, and analysis tools) to improve engineering productivity, code quality, and delivery speed.
- Contribute to and help evolve AI-driven product features, including intelligent automation and adaptive workflows.
- Collaborate with Product Managers to understand customer needs and translate them into software solutions.
- Own the quality and performance of the applications you build, ensuring they are reliable, scalable, compliant, and meet both customer and business expectations.
- Build reusable software components for other developers and business users.
- Implement automated testing and ensure code maintainability through documentation and best practices.
WHAT YOU’LL BRING
- 5+ years of experience in software engineering, focusing on design and coding at a component level.
- Professional level of English language proficiency.
- A strong customer-first mindset, with the ability to translate requirements into modern, flexible software solutions.
- Proficiency in FrontEnd and BackEnd technologies.
- Experience developing and integrating REST APIs using JSON and/or XML.
- Familiarity with cloud services (Azure or similar) for deployment and debugging.
- Expertise in asynchronous programming and scalable software development.
- Understanding of agile methodologies (Scrum/Kanban) and the ability to work effectively in agile teams.
- Bachelor's degree in Computer Science, Mathematics, or related experience.
- Excellent communication and collaboration skills, with the ability to mentor and take ownership of projects.
DESIRED DEVELOPERS SKILLS
- TDD (Test Driven Development) and refactoring skills
- Experience in structuring the code for testability to separate unit-testable logic and integration-testable boundary code
- Nice to have: Pairing/mobbing experience and/or XP (eXtreme Programming) experience
This contract-to-hire arrangement provides a path to join the team permanently after successfully completing an exciting 6-12 month project.
CANDIDATE EXPERIENCE & INTERVIEW PROCESS
We value your time and aim to make the hiring process clear and efficient. The interview process includes:
- 20-minute initial chat with our Senior Technical Talent Partner.
- Take-home technical assessment to showcase your skills. Utilizing Coderbyte platform.
- Three 60-minute 1:1 interviews with our engineering team. One of them will be with the hiring manager.
You’ll also have opportunities to ask questions and ensure this role aligns with your career goals.
LOCATION & WORK SETUP
This is a fully remote contractor position. We believe in hiring the best talent regardless of location and fostering a flexible work environment that allows you to thrive.
If you’re looking for an opportunity to work on exciting, high-impact projects with a growth-oriented company, we’d love to hear from you!
WHERE YOU’LL GO
- Hyperproof also loves to see an internal transfer. If a linear career path is not what you’re looking for, you can work with your manager and our people team to explore lateral moves to other parts of the organization as you continue to grow with us.
WHAT WE OFFER TO OUR EMPLOYEES
Please note: Benefits listed below are for employees in the United States; contractor roles or international positions may differ
- Annual compensation reviews + equity
- Unlimited PTO: strongly encouraged to unplug and recharge
- Health: coverage for medical, dental, and vision - employee and dependents
- 401K, which vests immediately, complete with a 4% company match
- 12 weeks of Parental leave and 1 year free diapers and wipes with Honest
- Annual company in-person events and quarterly in-person connects
- $500 home office stipend - at the time of hire. Any additional home office needs are requested as needed.
- $100 quarterly paid wellness stipend
- Pet insurance discount
- Slack channel notifications turn off after 5 pm based on your time zone
- Two Hypercharge weeks of rest where we close company-wide (July & Dec)
It’s an exciting time to be at Hyperproof — we recently raised $40 million in our Series B financing, further cementing Hyperproof as the emerging leader in the risk and compliance management space.
At Hyperproof’s core are our passionate team members who focus on user experience, beautiful design, and evangelize a positive social impact of our cloud based platform. We help organizations streamline their risk and compliance workflows so our customers can spend more time strategically managing programs and less time wrangling spreadsheets.
We are disrupting the governance, risk, and compliance software space with our innovative platform by helping traditionally unsung heroes (compliance professionals) do the right things so the wrong things don’t happen.
Learn more about the @hyperproof culture and how it all started.
A NOTE ABOUT OUR INTERVIEW PROCESS
We’re committed to creating a fair, respectful, and secure hiring experience for everyone. As part of that commitment, we use standard verification steps throughout our interview process.
Here’s what that means for you:
- We may conduct routine verification checks during the hiring process.
- You might be asked additional questions to better understand your experience and background.
- For video interviews, we ask that candidates be on camera without filters or visual modifications.
These steps are applied consistently for all candidates and are designed to ensure an equitable experience for everyone.
EQUAL OPPORTUNITY EMPLOYER
Hyperproof is committed to a diverse and inclusive workplace — it’s one of our core values! Hyperproof is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
To ensure a smooth interview process, all candidates will be required to provide a valid phone number that is not a VOIP (Voice Over Internet Protocol) number. This helps us maintain clear and reliable communication throughout your interview experience.
Ready to apply?
Apply to Hyperproof
Senior Data Engineer
Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- You will develop intricate data processing pipelines, addressing clients' most challenging problems.
- You will collaborate with data scientists to design scalable implementations of their models.
- You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
- You will use different distributed storage and computing technologies from the plethora of options available.
- You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
- You will collaborate with the team on the areas of data governance, data security and data privacy.
- You will incorporate data quality into your day-to-day work.
Job qualifications
Technical Skills
- You have experience with the Databricks platform.
- You have experience in Gen/AI and LLMs.
- Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems.
- You have hands-on experience of data modeling and modern data engineering tools and platforms.
- You have experience in writing clean, high-quality code using the preferred programming language.
- You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
- You have experience with data visualization techniques and can communicate the insights as per the audience.
- You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
- You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
Professional Skills
- You have advanced English.
- 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 Thoughtworks
Senior Machine Learning Engineer
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 Thoughtworks
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