10 Empregos para Microsoft certified azure solutions architect expert - Palhoça

Cloud Architect (Google Cloud Platform)

Sobre a Empresa

A Spesia, a mais nova empresa do Grupo Med4U, nasce para simbolizar nossa busca incessante por soluções inovadoras e disruptivas, utilizando inteligência artificial para oferecer tratamentos mais precisos, humanos e transformadores. Inspirada na palavra latina spes (esperança) e no IA de Inteligência Artificial, a Spesia reflete nosso compromisso com cuidados humanizados e centrados no paciente.

Nossa missão vai além da tecnologia: buscamos melhorar os desfechos clínicos, promovendo esperança e colocando o paciente no centro de tudo o que fazemos. Com a Spesia, queremos redefinir o cuidado em saúde, ajudando a construir vidas mais longas, saudáveis e plenas.

Junte-se a nós para transformar a saúde e fazer a diferença na vida das pessoas.

Saiba mais sobre o Grupo Med4U em

Sobre o Projeto:

Este projeto é focado na construção de modelos de machine learning e processamento de linguagem natural para a predições no contexto da saúde e a análise avançada de dados clínicos. Utilizando dados de prontuários eletrônicos (EHR), exames laboratoriais e dados biomedicos, o objetivo é desenvolver soluções inovadoras para apoiar a prevenção, diagnóstico e tratamento de câncer, integrando diferentes fontes de dados biomédicos e aplicando metodologias estatísticas robustas.

Sobre a Vaga:

Buscamos um(a) Cloud Architect com forte atuação hands-on para ser responsável pela arquitetura, implementação e operação de nossa infraestrutura em nuvem, com foco em soluções de dados, machine learning e aplicações. Este profissional terá um papel central no desenho de soluções escaláveis, seguras e eficientes, além de atuar como apoio técnico para os times de engenharia de dados, ciência de dados e desenvolvimento de produtos.

Responsabilidades

• Desenhar, implementar e evoluir a arquitetura em nuvem (GCP) para suportar aplicações, pipelines de dados e modelos de machine learning.
• Criar, manter e otimizar pipelines de CI/CD (GitHub Actions ou similares) para aplicações, pipelines de dados e modelos.
• Automatizar provisionamento de infraestrutura (Infrastructure as Code) utilizando Terraform.
• Definir padrões de arquitetura, governança, segurança, observabilidade e escalabilidade em nuvem.
• Criar e gerenciar ambientes de produção, staging e desenvolvimento na GCP.
• Monitorar performance, disponibilidade, segurança e custos dos serviços em nuvem, propondo melhorias contínuas.
• Implementar mecanismos de deployment de modelos (API REST, microservices, containers, monorepo, Vertex AI, etc.).
• Apoiar e colaborar ativamente com os times de engenharia de dados, MLOps, produto e ciência de dados.
• Gerenciar e evoluir pipelines de dados, ambientes de analytics e infraestrutura para MLOps.
• Promover cultura de automação, segurança e boas práticas DevSecOps.

Requisitos obrigatórios

• Experiência comprovada como Cloud Architect com foco em GCP.
• Sólidos conhecimentos em arquitetura de nuvem (compute, storage, networking, IAM, segurança, monitoramento).
• Vivência com GCP (Compute Engine, Cloud Run, GKE, Cloud Functions, BigQuery, Storage, Pub/Sub etc).
• Experiência com infraestrutura como código (Terraform).
• Experiência com containers e orquestração (Docker, Kubernetes, GKE).
• Conhecimentos sólidos em pipelines de CI/CD (GitHub Actions, Cloud Build ou similares).
• Sólidos conhecimentos em sistemas Linux, redes, segurança e governança em nuvem.
• Capacidade de trabalhar colaborativamente com engenheiros de dados, cientistas de dados e desenvolvedores.

Diferenciais

• Experiência com arquitetura de dados (Data Lake, Data Warehouse, Data Mesh, pipelines ELT).
• Familiaridade com arquitetura de microserviços e event-driven (Kafka, Pub/Sub ou similares).
• Experiência com soluções serverless e arquiteturas orientadas a eventos.
• Experiência com monitoramento avançado (Prometheus, Grafana, Cloud Monitoring, etc.).
• Conhecimentos em práticas de FinOps (otimização de custos em nuvem).

Benefícios:

Salário compatível com o mercado.

Flexibilidade de horário e possibilidade de trabalho remoto.

Oportunidade de participar de um projeto inovador e ambicioso com impacto direto na saúde e bem-estar dos pacientes.

Trabalhar com uma equipe altamente talentosa e reconhecida na área de IA em Saúde.

Cloud Architect (Google Cloud Platform)

Sobre a Empresa

A Spesia, a mais nova empresa do Grupo Med4U, nasce para simbolizar nossa busca incessante por soluções inovadoras e disruptivas, utilizando inteligência artificial para oferecer tratamentos mais precisos, humanos e transformadores. Inspirada na palavra latina spes (esperança) e no IA de Inteligência Artificial, a Spesia reflete nosso compromisso com cuidados humanizados e centrados no paciente.

Nossa missão vai além da tecnologia: buscamos melhorar os desfechos clínicos, promovendo esperança e colocando o paciente no centro de tudo o que fazemos. Com a Spesia, queremos redefinir o cuidado em saúde, ajudando a construir vidas mais longas, saudáveis e plenas.

Junte-se a nós para transformar a saúde e fazer a diferença na vida das pessoas.

Saiba mais sobre o Grupo Med4U em

Sobre o Projeto:

Este projeto é focado na construção de modelos de machine learning e processamento de linguagem natural para a predições no contexto da saúde e a análise avançada de dados clínicos. Utilizando dados de prontuários eletrônicos (EHR), exames laboratoriais e dados biomedicos, o objetivo é desenvolver soluções inovadoras para apoiar a prevenção, diagnóstico e tratamento de câncer, integrando diferentes fontes de dados biomédicos e aplicando metodologias estatísticas robustas.

Sobre a Vaga:

Buscamos um(a) Cloud Architect com forte atuação hands-on para ser responsável pela arquitetura, implementação e operação de nossa infraestrutura em nuvem, com foco em soluções de dados, machine learning e aplicações. Este profissional terá um papel central no desenho de soluções escaláveis, seguras e eficientes, além de atuar como apoio técnico para os times de engenharia de dados, ciência de dados e desenvolvimento de produtos.

Responsabilidades

• Desenhar, implementar e evoluir a arquitetura em nuvem (GCP) para suportar aplicações, pipelines de dados e modelos de machine learning.
• Criar, manter e otimizar pipelines de CI/CD (GitHub Actions ou similares) para aplicações, pipelines de dados e modelos.
• Automatizar provisionamento de infraestrutura (Infrastructure as Code) utilizando Terraform.
• Definir padrões de arquitetura, governança, segurança, observabilidade e escalabilidade em nuvem.
• Criar e gerenciar ambientes de produção, staging e desenvolvimento na GCP.
• Monitorar performance, disponibilidade, segurança e custos dos serviços em nuvem, propondo melhorias contínuas.
• Implementar mecanismos de deployment de modelos (API REST, microservices, containers, monorepo, Vertex AI, etc.).
• Apoiar e colaborar ativamente com os times de engenharia de dados, MLOps, produto e ciência de dados.
• Gerenciar e evoluir pipelines de dados, ambientes de analytics e infraestrutura para MLOps.
• Promover cultura de automação, segurança e boas práticas DevSecOps.

Requisitos obrigatórios

• Experiência comprovada como Cloud Architect com foco em GCP.
• Sólidos conhecimentos em arquitetura de nuvem (compute, storage, networking, IAM, segurança, monitoramento).
• Vivência com GCP (Compute Engine, Cloud Run, GKE, Cloud Functions, BigQuery, Storage, Pub/Sub etc).
• Experiência com infraestrutura como código (Terraform).
• Experiência com containers e orquestração (Docker, Kubernetes, GKE).
• Conhecimentos sólidos em pipelines de CI/CD (GitHub Actions, Cloud Build ou similares).
• Sólidos conhecimentos em sistemas Linux, redes, segurança e governança em nuvem.
• Capacidade de trabalhar colaborativamente com engenheiros de dados, cientistas de dados e desenvolvedores.

Diferenciais

• Experiência com arquitetura de dados (Data Lake, Data Warehouse, Data Mesh, pipelines ELT).
• Familiaridade com arquitetura de microserviços e event-driven (Kafka, Pub/Sub ou similares).
• Experiência com soluções serverless e arquiteturas orientadas a eventos.
• Experiência com monitoramento avançado (Prometheus, Grafana, Cloud Monitoring, etc.).
• Conhecimentos em práticas de FinOps (otimização de custos em nuvem).

Benefícios:

Salário compatível com o mercado.

Flexibilidade de horário e possibilidade de trabalho remoto.

Oportunidade de participar de um projeto inovador e ambicioso com impacto direto na saúde e bem-estar dos pacientes.

Trabalhar com uma equipe altamente talentosa e reconhecida na área de IA em Saúde.

Cloud Architect (Google Cloud Platform)

Sobre a Empresa

A Spesia, a mais nova empresa do Grupo Med4U, nasce para simbolizar nossa busca incessante por soluções inovadoras e disruptivas, utilizando inteligência artificial para oferecer tratamentos mais precisos, humanos e transformadores. Inspirada na palavra latina spes (esperança) e no IA de Inteligência Artificial, a Spesia reflete nosso compromisso com cuidados humanizados e centrados no paciente.

Nossa missão vai além da tecnologia: buscamos melhorar os desfechos clínicos, promovendo esperança e colocando o paciente no centro de tudo o que fazemos. Com a Spesia, queremos redefinir o cuidado em saúde, ajudando a construir vidas mais longas, saudáveis e plenas.

Junte-se a nós para transformar a saúde e fazer a diferença na vida das pessoas.

Saiba mais sobre o Grupo Med4U em

Sobre o Projeto:

Este projeto é focado na construção de modelos de machine learning e processamento de linguagem natural para a predições no contexto da saúde e a análise avançada de dados clínicos. Utilizando dados de prontuários eletrônicos (EHR), exames laboratoriais e dados biomedicos, o objetivo é desenvolver soluções inovadoras para apoiar a prevenção, diagnóstico e tratamento de câncer, integrando diferentes fontes de dados biomédicos e aplicando metodologias estatísticas robustas.

Sobre a Vaga:

Buscamos um(a) Cloud Architect com forte atuação hands-on para ser responsável pela arquitetura, implementação e operação de nossa infraestrutura em nuvem, com foco em soluções de dados, machine learning e aplicações. Este profissional terá um papel central no desenho de soluções escaláveis, seguras e eficientes, além de atuar como apoio técnico para os times de engenharia de dados, ciência de dados e desenvolvimento de produtos.

Responsabilidades

• Desenhar, implementar e evoluir a arquitetura em nuvem (GCP) para suportar aplicações, pipelines de dados e modelos de machine learning.
• Criar, manter e otimizar pipelines de CI/CD (GitHub Actions ou similares) para aplicações, pipelines de dados e modelos.
• Automatizar provisionamento de infraestrutura (Infrastructure as Code) utilizando Terraform.
• Definir padrões de arquitetura, governança, segurança, observabilidade e escalabilidade em nuvem.
• Criar e gerenciar ambientes de produção, staging e desenvolvimento na GCP.
• Monitorar performance, disponibilidade, segurança e custos dos serviços em nuvem, propondo melhorias contínuas.
• Implementar mecanismos de deployment de modelos (API REST, microservices, containers, monorepo, Vertex AI, etc.).
• Apoiar e colaborar ativamente com os times de engenharia de dados, MLOps, produto e ciência de dados.
• Gerenciar e evoluir pipelines de dados, ambientes de analytics e infraestrutura para MLOps.
• Promover cultura de automação, segurança e boas práticas DevSecOps.

Requisitos obrigatórios

• Experiência comprovada como Cloud Architect com foco em GCP.
• Sólidos conhecimentos em arquitetura de nuvem (compute, storage, networking, IAM, segurança, monitoramento).
• Vivência com GCP (Compute Engine, Cloud Run, GKE, Cloud Functions, BigQuery, Storage, Pub/Sub etc).
• Experiência com infraestrutura como código (Terraform).
• Experiência com containers e orquestração (Docker, Kubernetes, GKE).
• Conhecimentos sólidos em pipelines de CI/CD (GitHub Actions, Cloud Build ou similares).
• Sólidos conhecimentos em sistemas Linux, redes, segurança e governança em nuvem.
• Capacidade de trabalhar colaborativamente com engenheiros de dados, cientistas de dados e desenvolvedores.

Diferenciais

• Experiência com arquitetura de dados (Data Lake, Data Warehouse, Data Mesh, pipelines ELT).
• Familiaridade com arquitetura de microserviços e event-driven (Kafka, Pub/Sub ou similares).
• Experiência com soluções serverless e arquiteturas orientadas a eventos.
• Experiência com monitoramento avançado (Prometheus, Grafana, Cloud Monitoring, etc.).
• Conhecimentos em práticas de FinOps (otimização de custos em nuvem).

Benefícios:

Salário compatível com o mercado.

Flexibilidade de horário e possibilidade de trabalho remoto.

Oportunidade de participar de um projeto inovador e ambicioso com impacto direto na saúde e bem-estar dos pacientes.

Trabalhar com uma equipe altamente talentosa e reconhecida na área de IA em Saúde.

Cloud Architect (Google Cloud Platform)

Sobre a Empresa

A Spesia, a mais nova empresa do Grupo Med4U, nasce para simbolizar nossa busca incessante por soluções inovadoras e disruptivas, utilizando inteligência artificial para oferecer tratamentos mais precisos, humanos e transformadores. Inspirada na palavra latina spes (esperança) e no IA de Inteligência Artificial, a Spesia reflete nosso compromisso com cuidados humanizados e centrados no paciente.

Nossa missão vai além da tecnologia: buscamos melhorar os desfechos clínicos, promovendo esperança e colocando o paciente no centro de tudo o que fazemos. Com a Spesia, queremos redefinir o cuidado em saúde, ajudando a construir vidas mais longas, saudáveis e plenas.

Junte-se a nós para transformar a saúde e fazer a diferença na vida das pessoas.

Saiba mais sobre o Grupo Med4U em

Sobre o Projeto:

Este projeto é focado na construção de modelos de machine learning e processamento de linguagem natural para a predições no contexto da saúde e a análise avançada de dados clínicos. Utilizando dados de prontuários eletrônicos (EHR), exames laboratoriais e dados biomedicos, o objetivo é desenvolver soluções inovadoras para apoiar a prevenção, diagnóstico e tratamento de câncer, integrando diferentes fontes de dados biomédicos e aplicando metodologias estatísticas robustas.

Sobre a Vaga:

Buscamos um(a) Cloud Architect com forte atuação hands-on para ser responsável pela arquitetura, implementação e operação de nossa infraestrutura em nuvem, com foco em soluções de dados, machine learning e aplicações. Este profissional terá um papel central no desenho de soluções escaláveis, seguras e eficientes, além de atuar como apoio técnico para os times de engenharia de dados, ciência de dados e desenvolvimento de produtos.

Responsabilidades

• Desenhar, implementar e evoluir a arquitetura em nuvem (GCP) para suportar aplicações, pipelines de dados e modelos de machine learning.
• Criar, manter e otimizar pipelines de CI/CD (GitHub Actions ou similares) para aplicações, pipelines de dados e modelos.
• Automatizar provisionamento de infraestrutura (Infrastructure as Code) utilizando Terraform.
• Definir padrões de arquitetura, governança, segurança, observabilidade e escalabilidade em nuvem.
• Criar e gerenciar ambientes de produção, staging e desenvolvimento na GCP.
• Monitorar performance, disponibilidade, segurança e custos dos serviços em nuvem, propondo melhorias contínuas.
• Implementar mecanismos de deployment de modelos (API REST, microservices, containers, monorepo, Vertex AI, etc.).
• Apoiar e colaborar ativamente com os times de engenharia de dados, MLOps, produto e ciência de dados.
• Gerenciar e evoluir pipelines de dados, ambientes de analytics e infraestrutura para MLOps.
• Promover cultura de automação, segurança e boas práticas DevSecOps.

Requisitos obrigatórios

• Experiência comprovada como Cloud Architect com foco em GCP.
• Sólidos conhecimentos em arquitetura de nuvem (compute, storage, networking, IAM, segurança, monitoramento).
• Vivência com GCP (Compute Engine, Cloud Run, GKE, Cloud Functions, BigQuery, Storage, Pub/Sub etc).
• Experiência com infraestrutura como código (Terraform).
• Experiência com containers e orquestração (Docker, Kubernetes, GKE).
• Conhecimentos sólidos em pipelines de CI/CD (GitHub Actions, Cloud Build ou similares).
• Sólidos conhecimentos em sistemas Linux, redes, segurança e governança em nuvem.
• Capacidade de trabalhar colaborativamente com engenheiros de dados, cientistas de dados e desenvolvedores.

Diferenciais

• Experiência com arquitetura de dados (Data Lake, Data Warehouse, Data Mesh, pipelines ELT).
• Familiaridade com arquitetura de microserviços e event-driven (Kafka, Pub/Sub ou similares).
• Experiência com soluções serverless e arquiteturas orientadas a eventos.
• Experiência com monitoramento avançado (Prometheus, Grafana, Cloud Monitoring, etc.).
• Conhecimentos em práticas de FinOps (otimização de custos em nuvem).

Benefícios:

Salário compatível com o mercado.

Flexibilidade de horário e possibilidade de trabalho remoto.

Oportunidade de participar de um projeto inovador e ambicioso com impacto direto na saúde e bem-estar dos pacientes.

Trabalhar com uma equipe altamente talentosa e reconhecida na área de IA em Saúde.

Senior Cloud Solution Architect- Automation

Location: Brazil/Argentina (Remote)

Contract

Job Summary

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of this transformative capability. This role is pivotal in architecting a scalable, AI-driven solution that seamlessly integrates advanced data processing, intuitive web interfaces, and intelligent automation.

This position demands a strategic leader who thrives in complexity and is deeply committed to cultivating strong stakeholder relationships. You will play a key role in fostering a culture of innovation and collaboration, guiding cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness.

The ideal candidate will bring a unique blend of technical depth and strategic foresight, with a proven track record of leveraging cutting-edge technologies to deliver end-to-end automation at scale. The role with interface with Enterprise Architecture, Business leaders, Senior Leaders and Cyber/Privacy/Legal teams.

Key Responsibilities:

• Champion Software Excellence & Talent Development. Promote strong SDLC practices including clean architecture, automated testing, and scalable design. Mentor junior developers through code reviews, technical guidance, and collaborative learning to foster a high-performing engineering culture.
• Lead Automation use cases architecture using technologies like GenAI, API, D&A, etc, working closely with Product Managers, automation engineers and stakeholders across business and DTS, and Enterprise Architecture.
• End-to-End Platform Development. Build and maintain front-end (React, TypeScript, Next.js) and back-end (Python, FastAPI, Node.js) layers that support GenAI workflows and agentic interactions.
• API & Agent Framework Integration. Design robust REST and GraphQL APIs for real-time agent communication, tool execution, and memory handling. Integrate frameworks such as LangChain, LangGraph, CrewAI, and vector databases (Pinecone, FAISS, Chroma, Weaviate).
• ETL & Data Pipeline Architecture. Architect and optimize ETL pipelines for real-time and batch data processing. Ensure seamless data flow between GenAI services, databases, and user interfaces.
• Cloud-Native Deployment & Monitoring. Deploy and scale services using Docker, Kubernetes, and CI/CD pipelines. Apply MLOps best practices for monitoring, versioning, and performance tuning of AI components.
• Cross-Functional Collaboration. Work closely with AI researchers, product managers, and delivery teams to align technical execution with strategic goals. Participate in multi-agent orchestration experiments and rapid prototyping cycles.

Key Qualifications and Experiences:

Technical Expertise:

Cloud Platform Proficiency:

• Solid experience (minimum 5 years) in architecting, deploying, and managing applications across leading cloud platforms, demonstrating comprehensive knowledge of cloud services including computing, database management, application development, and integration services.
• Familiarity with cloud-native services (Azure), containerization (e.g., Docker, Kubernetes), and serverless architectures is highly valued.

Embedded Systems and CI/CD:

• Experience with embedded devices, operating systems, and server-client architecture. Proficient in CI/CD and DevSecOps practices.

Architecture Design:

• Experience in Microservices and Event-Driven Architecture. Understanding architecture design principles and patterns. Experience with SQL Server, Web Services (SOAP/REST) and API development.

NET Development Skills:

• Extensive hands-on experience in building scalable, high-performance applications using .NET technologies, with strong capabilities in C#, .NET Core, ASP.NET, and Entity Framework. Knowledge of web technologies and frameworks, such as Blazor or ASP.NET MVC, is also crucial.

Integration with SAP and Salesforce:

• Demonstrated ability to integrate .NET applications with both SAP and Salesforce platforms, employing APIs and middleware solutions like SAP Process Orchestration or API to facilitate robust data exchange and streamline workflows across these systems.

Security and Compliance:

• Deep understanding of security practices related to cloud-hosted applications, including implementing secure authentication and authorization mechanisms (e.g., OAuth, OpenID Connect) and ensuring compliance with relevant industry security standards.

Scalability and High Availability:

• Proven expertise in designing applications that are highly scalable and resilient, leveraging cloud scalability features such as load balancing, auto-scaling, and caching services to ensure optimal performance and availability.

Agile Development Practices:

• Strong background in Agile methodologies, adept at managing product backlogs, user stories, sprint planning, and releases, particularly within a cloud-hosted application development environment.

Strategic Problem Solving and Analytical Thinking:

• Ability to address complex technical and integration challenges with a strategic mindset, utilizing analytical and data-driven decision-making to optimize the application's performance and capabilities.

Specialized Skills:

Prototyping:

• Ability to engage in rapid prototype development using iterative techniques.

Vendor and Partner Engagement:

• Direct experience managing relationships with outsourcing and consulting partners.

Cloud Architecture Design:

• Deep understanding of cloud solutions and architectures, enabling scalable, flexible, and resilient digital infrastructures that support rapid innovation and development.

Soft Skills and Others:

Agile Collaboration:

• Demonstrated experience in effectively working with Agile and Product teams, including involvement with epics, user stories, sprints, and backlog management. The ability to collaborate closely with product owners, engineers, and scrum master’s to foster a productive and agile environment.

Leadership in Communication and Reporting:

• Skilled in leading communication efforts and reporting, adept at preparing and presenting comprehensive updates and reports to senior leaders and stakeholders. Ability to succinctly highlight key metrics, progress, and insights, ensuring transparency and alignment at all levels of the organization.

Cross-functional Collaboration:

• Background in coordinating hardware & software development teams and business owners, with the ability to influence SMEs directly.

Senior Cloud Solution Architect- Automation

Location: Brazil/Argentina (Remote)

Contract

Job Summary

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of this transformative capability. This role is pivotal in architecting a scalable, AI-driven solution that seamlessly integrates advanced data processing, intuitive web interfaces, and intelligent automation.

This position demands a strategic leader who thrives in complexity and is deeply committed to cultivating strong stakeholder relationships. You will play a key role in fostering a culture of innovation and collaboration, guiding cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness.

The ideal candidate will bring a unique blend of technical depth and strategic foresight, with a proven track record of leveraging cutting-edge technologies to deliver end-to-end automation at scale. The role with interface with Enterprise Architecture, Business leaders, Senior Leaders and Cyber/Privacy/Legal teams.

Key Responsibilities:

• Champion Software Excellence & Talent Development. Promote strong SDLC practices including clean architecture, automated testing, and scalable design. Mentor junior developers through code reviews, technical guidance, and collaborative learning to foster a high-performing engineering culture.
• Lead Automation use cases architecture using technologies like GenAI, API, D&A, etc, working closely with Product Managers, automation engineers and stakeholders across business and DTS, and Enterprise Architecture.
• End-to-End Platform Development. Build and maintain front-end (React, TypeScript, Next.js) and back-end (Python, FastAPI, Node.js) layers that support GenAI workflows and agentic interactions.
• API & Agent Framework Integration. Design robust REST and GraphQL APIs for real-time agent communication, tool execution, and memory handling. Integrate frameworks such as LangChain, LangGraph, CrewAI, and vector databases (Pinecone, FAISS, Chroma, Weaviate).
• ETL & Data Pipeline Architecture. Architect and optimize ETL pipelines for real-time and batch data processing. Ensure seamless data flow between GenAI services, databases, and user interfaces.
• Cloud-Native Deployment & Monitoring. Deploy and scale services using Docker, Kubernetes, and CI/CD pipelines. Apply MLOps best practices for monitoring, versioning, and performance tuning of AI components.
• Cross-Functional Collaboration. Work closely with AI researchers, product managers, and delivery teams to align technical execution with strategic goals. Participate in multi-agent orchestration experiments and rapid prototyping cycles.

Key Qualifications and Experiences:

Technical Expertise:

Cloud Platform Proficiency:

• Solid experience (minimum 5 years) in architecting, deploying, and managing applications across leading cloud platforms, demonstrating comprehensive knowledge of cloud services including computing, database management, application development, and integration services.
• Familiarity with cloud-native services (Azure), containerization (e.g., Docker, Kubernetes), and serverless architectures is highly valued.

Embedded Systems and CI/CD:

• Experience with embedded devices, operating systems, and server-client architecture. Proficient in CI/CD and DevSecOps practices.

Architecture Design:

• Experience in Microservices and Event-Driven Architecture. Understanding architecture design principles and patterns. Experience with SQL Server, Web Services (SOAP/REST) and API development.

NET Development Skills:

• Extensive hands-on experience in building scalable, high-performance applications using .NET technologies, with strong capabilities in C#, .NET Core, ASP.NET, and Entity Framework. Knowledge of web technologies and frameworks, such as Blazor or ASP.NET MVC, is also crucial.

Integration with SAP and Salesforce:

• Demonstrated ability to integrate .NET applications with both SAP and Salesforce platforms, employing APIs and middleware solutions like SAP Process Orchestration or API to facilitate robust data exchange and streamline workflows across these systems.

Security and Compliance:

• Deep understanding of security practices related to cloud-hosted applications, including implementing secure authentication and authorization mechanisms (e.g., OAuth, OpenID Connect) and ensuring compliance with relevant industry security standards.

Scalability and High Availability:

• Proven expertise in designing applications that are highly scalable and resilient, leveraging cloud scalability features such as load balancing, auto-scaling, and caching services to ensure optimal performance and availability.

Agile Development Practices:

• Strong background in Agile methodologies, adept at managing product backlogs, user stories, sprint planning, and releases, particularly within a cloud-hosted application development environment.

Strategic Problem Solving and Analytical Thinking:

• Ability to address complex technical and integration challenges with a strategic mindset, utilizing analytical and data-driven decision-making to optimize the application's performance and capabilities.

Specialized Skills:

Prototyping:

• Ability to engage in rapid prototype development using iterative techniques.

Vendor and Partner Engagement:

• Direct experience managing relationships with outsourcing and consulting partners.

Cloud Architecture Design:

• Deep understanding of cloud solutions and architectures, enabling scalable, flexible, and resilient digital infrastructures that support rapid innovation and development.

Soft Skills and Others:

Agile Collaboration:

• Demonstrated experience in effectively working with Agile and Product teams, including involvement with epics, user stories, sprints, and backlog management. The ability to collaborate closely with product owners, engineers, and scrum master’s to foster a productive and agile environment.

Leadership in Communication and Reporting:

• Skilled in leading communication efforts and reporting, adept at preparing and presenting comprehensive updates and reports to senior leaders and stakeholders. Ability to succinctly highlight key metrics, progress, and insights, ensuring transparency and alignment at all levels of the organization.

Cross-functional Collaboration:

• Background in coordinating hardware & software development teams and business owners, with the ability to influence SMEs directly.

Senior Cloud Solution Architect- Automation

Location: Brazil/Argentina (Remote)

Contract

Job Summary

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of this transformative capability. This role is pivotal in architecting a scalable, AI-driven solution that seamlessly integrates advanced data processing, intuitive web interfaces, and intelligent automation.

This position demands a strategic leader who thrives in complexity and is deeply committed to cultivating strong stakeholder relationships. You will play a key role in fostering a culture of innovation and collaboration, guiding cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness.

The ideal candidate will bring a unique blend of technical depth and strategic foresight, with a proven track record of leveraging cutting-edge technologies to deliver end-to-end automation at scale. The role with interface with Enterprise Architecture, Business leaders, Senior Leaders and Cyber/Privacy/Legal teams.

Key Responsibilities:

• Champion Software Excellence & Talent Development. Promote strong SDLC practices including clean architecture, automated testing, and scalable design. Mentor junior developers through code reviews, technical guidance, and collaborative learning to foster a high-performing engineering culture.
• Lead Automation use cases architecture using technologies like GenAI, API, D&A, etc, working closely with Product Managers, automation engineers and stakeholders across business and DTS, and Enterprise Architecture.
• End-to-End Platform Development. Build and maintain front-end (React, TypeScript, Next.js) and back-end (Python, FastAPI, Node.js) layers that support GenAI workflows and agentic interactions.
• API & Agent Framework Integration. Design robust REST and GraphQL APIs for real-time agent communication, tool execution, and memory handling. Integrate frameworks such as LangChain, LangGraph, CrewAI, and vector databases (Pinecone, FAISS, Chroma, Weaviate).
• ETL & Data Pipeline Architecture. Architect and optimize ETL pipelines for real-time and batch data processing. Ensure seamless data flow between GenAI services, databases, and user interfaces.
• Cloud-Native Deployment & Monitoring. Deploy and scale services using Docker, Kubernetes, and CI/CD pipelines. Apply MLOps best practices for monitoring, versioning, and performance tuning of AI components.
• Cross-Functional Collaboration. Work closely with AI researchers, product managers, and delivery teams to align technical execution with strategic goals. Participate in multi-agent orchestration experiments and rapid prototyping cycles.

Key Qualifications and Experiences:

Technical Expertise:

Cloud Platform Proficiency:

• Solid experience (minimum 5 years) in architecting, deploying, and managing applications across leading cloud platforms, demonstrating comprehensive knowledge of cloud services including computing, database management, application development, and integration services.
• Familiarity with cloud-native services (Azure), containerization (e.g., Docker, Kubernetes), and serverless architectures is highly valued.

Embedded Systems and CI/CD:

• Experience with embedded devices, operating systems, and server-client architecture. Proficient in CI/CD and DevSecOps practices.

Architecture Design:

• Experience in Microservices and Event-Driven Architecture. Understanding architecture design principles and patterns. Experience with SQL Server, Web Services (SOAP/REST) and API development.

NET Development Skills:

• Extensive hands-on experience in building scalable, high-performance applications using .NET technologies, with strong capabilities in C#, .NET Core, ASP.NET, and Entity Framework. Knowledge of web technologies and frameworks, such as Blazor or ASP.NET MVC, is also crucial.

Integration with SAP and Salesforce:

• Demonstrated ability to integrate .NET applications with both SAP and Salesforce platforms, employing APIs and middleware solutions like SAP Process Orchestration or API to facilitate robust data exchange and streamline workflows across these systems.

Security and Compliance:

• Deep understanding of security practices related to cloud-hosted applications, including implementing secure authentication and authorization mechanisms (e.g., OAuth, OpenID Connect) and ensuring compliance with relevant industry security standards.

Scalability and High Availability:

• Proven expertise in designing applications that are highly scalable and resilient, leveraging cloud scalability features such as load balancing, auto-scaling, and caching services to ensure optimal performance and availability.

Agile Development Practices:

• Strong background in Agile methodologies, adept at managing product backlogs, user stories, sprint planning, and releases, particularly within a cloud-hosted application development environment.

Strategic Problem Solving and Analytical Thinking:

• Ability to address complex technical and integration challenges with a strategic mindset, utilizing analytical and data-driven decision-making to optimize the application's performance and capabilities.

Specialized Skills:

Prototyping:

• Ability to engage in rapid prototype development using iterative techniques.

Vendor and Partner Engagement:

• Direct experience managing relationships with outsourcing and consulting partners.

Cloud Architecture Design:

• Deep understanding of cloud solutions and architectures, enabling scalable, flexible, and resilient digital infrastructures that support rapid innovation and development.

Soft Skills and Others:

Agile Collaboration:

• Demonstrated experience in effectively working with Agile and Product teams, including involvement with epics, user stories, sprints, and backlog management. The ability to collaborate closely with product owners, engineers, and scrum master’s to foster a productive and agile environment.

Leadership in Communication and Reporting:

• Skilled in leading communication efforts and reporting, adept at preparing and presenting comprehensive updates and reports to senior leaders and stakeholders. Ability to succinctly highlight key metrics, progress, and insights, ensuring transparency and alignment at all levels of the organization.

Cross-functional Collaboration:

• Background in coordinating hardware & software development teams and business owners, with the ability to influence SMEs directly.

Senior Cloud Solution Architect- Automation

Location: Brazil/Argentina (Remote)

Contract

Job Summary

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of this transformative capability. This role is pivotal in architecting a scalable, AI-driven solution that seamlessly integrates advanced data processing, intuitive web interfaces, and intelligent automation.

This position demands a strategic leader who thrives in complexity and is deeply committed to cultivating strong stakeholder relationships. You will play a key role in fostering a culture of innovation and collaboration, guiding cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness.

The ideal candidate will bring a unique blend of technical depth and strategic foresight, with a proven track record of leveraging cutting-edge technologies to deliver end-to-end automation at scale. The role with interface with Enterprise Architecture, Business leaders, Senior Leaders and Cyber/Privacy/Legal teams.

Key Responsibilities:

• Champion Software Excellence & Talent Development. Promote strong SDLC practices including clean architecture, automated testing, and scalable design. Mentor junior developers through code reviews, technical guidance, and collaborative learning to foster a high-performing engineering culture.
• Lead Automation use cases architecture using technologies like GenAI, API, D&A, etc, working closely with Product Managers, automation engineers and stakeholders across business and DTS, and Enterprise Architecture.
• End-to-End Platform Development. Build and maintain front-end (React, TypeScript, Next.js) and back-end (Python, FastAPI, Node.js) layers that support GenAI workflows and agentic interactions.
• API & Agent Framework Integration. Design robust REST and GraphQL APIs for real-time agent communication, tool execution, and memory handling. Integrate frameworks such as LangChain, LangGraph, CrewAI, and vector databases (Pinecone, FAISS, Chroma, Weaviate).
• ETL & Data Pipeline Architecture. Architect and optimize ETL pipelines for real-time and batch data processing. Ensure seamless data flow between GenAI services, databases, and user interfaces.
• Cloud-Native Deployment & Monitoring. Deploy and scale services using Docker, Kubernetes, and CI/CD pipelines. Apply MLOps best practices for monitoring, versioning, and performance tuning of AI components.
• Cross-Functional Collaboration. Work closely with AI researchers, product managers, and delivery teams to align technical execution with strategic goals. Participate in multi-agent orchestration experiments and rapid prototyping cycles.

Key Qualifications and Experiences:

Technical Expertise:

Cloud Platform Proficiency:

• Solid experience (minimum 5 years) in architecting, deploying, and managing applications across leading cloud platforms, demonstrating comprehensive knowledge of cloud services including computing, database management, application development, and integration services.
• Familiarity with cloud-native services (Azure), containerization (e.g., Docker, Kubernetes), and serverless architectures is highly valued.

Embedded Systems and CI/CD:

• Experience with embedded devices, operating systems, and server-client architecture. Proficient in CI/CD and DevSecOps practices.

Architecture Design:

• Experience in Microservices and Event-Driven Architecture. Understanding architecture design principles and patterns. Experience with SQL Server, Web Services (SOAP/REST) and API development.

NET Development Skills:

• Extensive hands-on experience in building scalable, high-performance applications using .NET technologies, with strong capabilities in C#, .NET Core, ASP.NET, and Entity Framework. Knowledge of web technologies and frameworks, such as Blazor or ASP.NET MVC, is also crucial.

Integration with SAP and Salesforce:

• Demonstrated ability to integrate .NET applications with both SAP and Salesforce platforms, employing APIs and middleware solutions like SAP Process Orchestration or API to facilitate robust data exchange and streamline workflows across these systems.

Security and Compliance:

• Deep understanding of security practices related to cloud-hosted applications, including implementing secure authentication and authorization mechanisms (e.g., OAuth, OpenID Connect) and ensuring compliance with relevant industry security standards.

Scalability and High Availability:

• Proven expertise in designing applications that are highly scalable and resilient, leveraging cloud scalability features such as load balancing, auto-scaling, and caching services to ensure optimal performance and availability.

Agile Development Practices:

• Strong background in Agile methodologies, adept at managing product backlogs, user stories, sprint planning, and releases, particularly within a cloud-hosted application development environment.

Strategic Problem Solving and Analytical Thinking:

• Ability to address complex technical and integration challenges with a strategic mindset, utilizing analytical and data-driven decision-making to optimize the application's performance and capabilities.

Specialized Skills:

Prototyping:

• Ability to engage in rapid prototype development using iterative techniques.

Vendor and Partner Engagement:

• Direct experience managing relationships with outsourcing and consulting partners.

Cloud Architecture Design:

• Deep understanding of cloud solutions and architectures, enabling scalable, flexible, and resilient digital infrastructures that support rapid innovation and development.

Soft Skills and Others:

Agile Collaboration:

• Demonstrated experience in effectively working with Agile and Product teams, including involvement with epics, user stories, sprints, and backlog management. The ability to collaborate closely with product owners, engineers, and scrum master’s to foster a productive and agile environment.

Leadership in Communication and Reporting:

• Skilled in leading communication efforts and reporting, adept at preparing and presenting comprehensive updates and reports to senior leaders and stakeholders. Ability to succinctly highlight key metrics, progress, and insights, ensuring transparency and alignment at all levels of the organization.

Cross-functional Collaboration:

• Background in coordinating hardware & software development teams and business owners, with the ability to influence SMEs directly.

Join to apply for the Solutions Architect for Automotive role at Canonical

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Join to apply for the Solutions Architect for Automotive role at Canonical

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Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring a Solutions Architect for Automotive to help our partners (companies like Mercedes, Ford, GM, Elektrobit, Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) and prospects understand and embrace our open source platform for themselves and their customers.

Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to embedded. And we continue to expand our range of offerings to bring our security, management and developer experience to the smallest Linux environments and devices. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries.

Beyond an expected Automotive expertise, this career opportunity requires a unique blend of skills. Successful candidates will know Linux well and be proficient coders and scripters. They will have experience of low-level Linux boot, BIOS, firmware and embedded software development methodologies. They also enjoy the pace of change and diversity of client engagements with driven and ambitious technology entrepreneurs. Competitive, business-focused technologists at heart, they are also dedicated team players that take pride in team and company wins.

We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true.

Location : This is a home-based role, we are hiring worldwide.

What your day will look like

• Engage customers during presales to gather requirements and explain our technology
• Liaise with other Canonical's experts (mastering the Cloud, Kubernetes, Security or Safety, etc) to aggregate our collective knowledge into comprehensive solutions for our prospective clients
• Participate to the delivery of select projects related to Embedded Linux, including demos and PoCs
• Convey market requirements to key stakeholders in our organization, and sometimes participate to the development or refining of generic solutions to unlock market potential
• Be both a customer advocate and a trusted advisor to Canonical
  
  

• Bachelor's degree in Computer Science or related technical field
• Extensive Linux experience - Debian or Ubuntu preferred
• Solid embedded Linux experience - Yocto or RTOS
• Fluency in Golang, Python, C, C++, or Rust
• Professional written and spoken English in addition to the local language
• Excellent communication and presentation skills
• Interest in customer-facing engagement, including pitching, demonstrating and understanding customer environment and needs
• Result-oriented, ability to multi-task
• A personal drive to meet commitments
• An humble learner and quick study
• Relevant experience in the Automotive industry
• Albeit many projects can be done remotely, the successful candidate will be willing to travel up to 30% of the time for customer meetings, company events, and conferences
  
  

• Experience with ISO26262 and/or ISO21434
• Experience with customer engagements
  
  

• Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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