Applications Engineer Empleos | Kennametal (Monterrey)

Principal Software Engineer- Android Development

Join Baxter Healthcare Corporation as a Principal Software Engineer- Android Dev...

Ubicación

United States , Milwaukee

Salario:

112000.00 - 154000.00 USD / Año

Baxter

Fecha de expiración

Hasta nuevo aviso

Requisitos

Bachelor’s/Master’s degree in Computer Science or related field with 5+ years in software engineering and 2+ years developing Android applications
Proficiency in Java/Kotlin, with additional familiarity in JavaScript/TypeScript and C++ for embedded/firmware
Hands‑on experience with Android SDK, NDK, Android Studio, and strong understanding of Android architecture, components, security, and best practices
Background in regulated industries preferred, especially medical devices with exposure to IEC 62304 and quality/regulatory collaboration
Strong software architecture, design patterns, SOLID principles, TDD, and CI/CD familiarity
Experience working in Agile environments using tools like Azure DevOps or Jira, and version control systems such as Git or SVN
Proven track record of delivering technical solutions, solving complex problems, and working effectively with cross‑functional and multisite teams
Excellent communication, leadership, and collaboration skills, with a proactive mindset and willingness to mentor and drive team success.

Responsabilidades

Apply and demonstrate strong software engineering expertise to build and develop robust software architectures. Influence the processes and methodologies the team uses to develop quality software
Develop software components in an Android environment that will be deployed in medical products, using architectural patterns, strong object-oriented principles, unit testing, and automated testing tools
Own and control software implementation, ensuring that software is built in a modular fashion, testable, reusable, and maintainable
Participate in the formal documentation processes for requirements generation, software architecture, and detailed builds
Analyze and understand product requirements, deriving software requirements
Identify key product-level technical risks and assist project managers in developing mitigation and recovery plans
Review work products and ensure the quality of deliverables
Provide input to test strategies at both product and module levels
Drive the application of principles of SDLC and methodologies like Lean/Agile/XP, Software and Product Security, Scalability, Documentation Practices, refactoring, and testing techniques
Own and drive continuous improvement activities by identifying and appropriately advancing process and product quality gaps.

Lo que ofrecemos

Support for parents
Continuing education/ Professional development
Employee health and Wellness benefits
Paid time off
2 days per year to volunteer
Medical and dental coverage that start on day one
Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance
Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount
401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching
Flexible Spending Accounts

Tiempo completo

Senior Machine Learning Engineer

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the a...

Ubicación

Brazil , Brasil

Salario:

No proporcionado

Thoughtworks

Fecha de expiración

Hasta nuevo aviso

Requisitos

Experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code
Proficient in scripting languages such as Python or Shell for automation and task streamlining
Knowledge of distributed systems and scalable architectures to handle large-scale ML applications
Experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
Experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
Experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
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.
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
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
Resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives

Responsabilidades

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
Collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
Own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
Drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
Stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
Facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers
Contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
Proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements

Lo que ofrecemos

Learning & Development
Career development supported by interactive tools, numerous development programs and teammates who want to help you grow

Tiempo completo

Validation Quality Engineer - Innovation Value Stream

Leads the IVS project quality and validation activities, providing technical dir...

Ubicación

Costa Rica , Cartago

Salario:

No proporcionado

Coloplast

Fecha de expiración

Hasta nuevo aviso

Requisitos

Bach. degree in an Engineering field, such industrial, electrical, mechanical, etc.
Understanding and Knowledge of the quality system standards ISO 13485 and ISO 9001.
Experience in regulated industries such MDSAP, MDR, FDA, and corporate QMS requirements (e.g., medical device industry).
Experience with Microsoft Office package (Word, Excel, PowerPoint, Outlook).
Knowledge in statistical techniques and software applications such as JMP, Minitab, etc.
Min. 6-10 years of experience in quality, innovation and validation roles.
Fluent in both spoken and written English
B2+ English level

Responsabilidades

Leads the IVS project quality and validation activities, providing technical direction, ensuring alignment with quality and regulatory standards, and driving successful project execution across cross‑functional teams, ensures product safety, reliability, and compliance with internal and external quality requirements.
The role includes developing and implementing quality control processes, performing risk assessments, and supporting Operations in alignment with the Coloplast Quality Management System.
It also involves executing and maintaining processes, equipment, software, and test method validations throughout their lifecycle.
Validation & Test Method Activities
Quality Assurance & Risk Management
Documentation, Training & Compliance
Audits, Continuous Improvement & Collaboration

Senior Data Engineer

Senior data engineers at Thoughtworks are engineers who build, maintain and test...

Ubicación

Chile , Santiago

Salario:

No proporcionado

Thoughtworks

Fecha de expiración

Hasta nuevo aviso

Requisitos

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.)
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

Responsabilidades

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

Lo que ofrecemos

Learning & Development
There is no one-size-fits-all career path
career is supported by interactive tools, numerous development programs and teammates who want to help you grow

Tiempo completo

Senior Data Engineer

Senior data engineers at Thoughtworks are engineers who build, maintain and test...

Ubicación

Brazil , Brasil

Salario:

No proporcionado

Thoughtworks

Fecha de expiración

Hasta nuevo aviso

Requisitos

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.)
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

Responsabilidades

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

Tiempo completo

Senior Machine Learning Engineer

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the a...

Ubicación

Chile , Santiago

Salario:

No proporcionado

Thoughtworks

Fecha de expiración

Hasta nuevo aviso

Requisitos

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

Responsabilidades

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

Lo que ofrecemos

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

Tiempo completo

Senior Cloud Platform Engineer

Ubicación

Spain , Valencia

Salario:

39400.00 - 59800.00 EUR / Año

Mercadona

Fecha de expiración

Hasta nuevo aviso

Requisitos

Grado o Ciclo formativo de grado superior en Informática / Telecomunicaciones
Infraestructura como código con Terraform y Ansible
Ecosistema CNA: Kubernetes, Helm, y gestión de contenedores
Automatización y scripting: Python, Shell u otros lenguajes similares
Herramientas de CI/CD y Observabilidad como Jenkins, Kibana y Grafana
Solido entendimiento del ciclo de vida del desarrollo software
Mínimo 4 años trabajando con tecnologías de infraestructura y automatización en entornos Cloud

Responsabilidades

Diseñar, automatizar y mantener los recursos de infraestructura que necesitan nuestras aplicaciones para llegar a producción
Trabajar bajo un enfoque Platform as a Product, colaborando con los equipos de desarrollo para identificar necesidades y aportar soluciones escalables
Construir y mantener los catálogos de infraestructura como código para entornos Cloud Native Applications (CNA)
Garantizar la calidad y evolución del ecosistema de despliegue y CI/CD, ofreciendo una experiencia desarrolladora de primer nivel
Planificar y ejecutar intervenciones en los recursos de las aplicaciones
Proporcionar soporte técnico durante todo el ciclo de vida de las aplicaciones

Lo que ofrecemos

Proyectos únicos y de gran impacto
Un equipo IT de más de 1.200 profesionales
Stack tecnológico de alto nivel
Plan de carrera con revisiones salariales anuales
Flexibilidad horaria
Formación continua y crecimiento profesional
Estabilidad y cultura de equipo
Servicio médico propio
Oficinas innovadoras y colaborativas
Salario competitivo según tu experiencia

Tiempo completo

Nuevo

Head of Accounting and Fixed Assets

Buscamos una/un profesional senior para liderar el área de Contabilidad. La pers...

Ubicación

Spain , Madrid

Salario:

No proporcionado

Serveo

Fecha de expiración

Hasta nuevo aviso

Requisitos

Licenciatura o Grado en ADE, Económicas o similar
Office 365
Microsoft Excel avanzado
ERP SAP S4
Nivel B2 de Inglés
Mínimo 6 años de experiencia en auditoría en una Big Four o haber desarrollado una posición similar en empresa final
desarrollo y gestión de equipos
planificación y organización
comunicación e influencia
análisis y toma de decisiones

Responsabilidades

Coordinar y supervisar el equipo de contabilidad
Garantizar la correcta contabilización de todas las operaciones
Controlar los procesos de cierre contable mensual, trimestral y anual
Supervisar los procesos de integración de UTEs
Asegurar el cumplimiento de la normativa contable y fiscal vigente
Mantener actualizados los procedimientos según cambios legislativos
Preparar balances, cuentas de resultados y otros informes financieros
Elaborar Cuentas Anuales
Colaborar en la elaboración de informes para auditorías internas y externas
Registrar compraventas de sociedades

Applications Engineer

Kennametal

Ubicación:
Mexico , Monterrey

Categoría:
TI - Desarrollo de Software

Tipo de contrato:
No proporcionado

Salario:

Descripción del trabajo:

Responsabilidades:

Requisitos:

Deseable:

Información adicional:

Oferta publicada:
25 de enero de 2026

¿Buscas más oportunidades? Busca otras ofertas de trabajo que coincidan con tus habilidades e intereses.

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Applications Engineer

Kennametal

Ubicación:Mexico , Monterrey

Categoría:TI - Desarrollo de Software

Tipo de contrato:No proporcionado

Salario:

Descripción del trabajo:

Responsabilidades:

Requisitos:

Deseable:

Información adicional:

Oferta publicada:25 de enero de 2026

¿Buscas más oportunidades? Busca otras ofertas de trabajo que coincidan con tus habilidades e intereses.

Empleos similares para Applications Engineer

Principal Software Engineer- Android Development

Senior Machine Learning Engineer

Validation Quality Engineer - Innovation Value Stream

Senior Data Engineer

Senior Data Engineer

Senior Machine Learning Engineer

Senior Cloud Platform Engineer

Head of Accounting and Fixed Assets

Ubicación:
Mexico , Monterrey

Categoría:
TI - Desarrollo de Software

Tipo de contrato:
No proporcionado

Oferta publicada:
25 de enero de 2026