Senior Software Development Engineer - Sr Cloud Dev
Lenovo
General Information Req # WD00084092 Career area: Hardware Engineering Country/Region: Brazil State: São Paulo City: JAGUARIUNA Date: Wednesday, July 2, 2025 Working time: Full-time Additional Locations: * Brazil - São Paulo - Jaguariúna * Brazil - São Paulo - JAGUARIUNA Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements Scope of ResponsibilitiesLead the design, development, and deployment of scalable, cloud-native applications and services across multiple environments.
Architect and implement complex cloud infrastructure solutions using Infrastructure-as-Code (IaC) tools such as Terraform, AWS CloudFormation, or equivalent, ensuring security, scalability, and cost efficiency.
Own and optimize CI/CD pipelines, and establish best practices for automation, testing, and deployment for distributed engineering teams.
Design, develop, and expose robust APIs and endpoints to enable integration with advanced AI/ML platforms such as Google Vertex AI, OpenAI, and AWS SageMaker for high-performance inference workflows.
Monitor and enhance application performance, reliability, and security in production cloud environments; proactively troubleshoot and resolve complex issues.
Provide technical leadership and mentorship to junior and mid-level developers; perform in-depth code reviews and promote engineering best practices and clean architecture principles.
Drive documentation and knowledge sharing related to cloud architecture, operational excellence, and emerging cloud-native technologies.
Collaborate cross-functionally with product owners, architects, and stakeholders, contributing to strategic technical decisions and long-term cloud roadmaps.
Stay ahead of industry trends in cloud computing, AI/ML workflows, serverless architectures, container orchestration (Kubernetes, Docker), and help drive the adoption of new tools and approaches within the team.
Basic QualificationsBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience.
5+ years of professional experience in designing and building production-grade cloud-native applications.
Proven expertise with at least one major cloud provider (e.g., AWS, Google Cloud Platform, Azure) and deep understanding of its ecosystem.
Strong hands-on experience architecting and deploying RESTful APIs and scalable microservices.
Demonstrated experience building and managing Infrastructure-as-Code (Terraform, CloudFormation, or similar).
Advanced programming proficiency in modern languages such as Python, TypeScript/JavaScript, Go, or Java.
Strong knowledge of containerization and orchestration technologies (Docker, Kubernetes) in production environments.
Practical experience integrating or deploying AI/ML models in cloud workflows (e.g., Vertex AI, OpenAI, SageMaker).
Solid understanding of CI/CD concepts and automation tools.
Excellent problem-solving, debugging, and system optimization skills.
Effective communicator with experience working in Agile environments.
Preferred QualificationsPrior experience in a technical leadership role, guiding engineers through complex design decisions, architecture reviews, and code quality standards.
Mentorship experience, helping to upskill junior team members and foster a culture of knowledge sharing.
Cloud certification at the professional or specialty level, such as:
AWS Certified Solutions Architect — Professional
Google Professional Cloud Architect
Microsoft Azure Solutions Architect Expert
Hands-on experience integrating AI/ML solutions at scale, particularly for real-time inference or large-scale data pipelines.
Familiarity with DevSecOps practices and secure cloud architectures.
Excellent collaboration skills with cross-functional and geographically distributed teams.#MBG Additional Locations: * Brazil - São Paulo - Jaguariúna * Brazil - São Paulo - JAGUARIUNA * Brazil * Brazil - São Paulo * Brazil - São Paulo - Jaguariúna , * Brazil - São Paulo - JAGUARIUNA
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements Scope of ResponsibilitiesLead the design, development, and deployment of scalable, cloud-native applications and services across multiple environments.
Architect and implement complex cloud infrastructure solutions using Infrastructure-as-Code (IaC) tools such as Terraform, AWS CloudFormation, or equivalent, ensuring security, scalability, and cost efficiency.
Own and optimize CI/CD pipelines, and establish best practices for automation, testing, and deployment for distributed engineering teams.
Design, develop, and expose robust APIs and endpoints to enable integration with advanced AI/ML platforms such as Google Vertex AI, OpenAI, and AWS SageMaker for high-performance inference workflows.
Monitor and enhance application performance, reliability, and security in production cloud environments; proactively troubleshoot and resolve complex issues.
Provide technical leadership and mentorship to junior and mid-level developers; perform in-depth code reviews and promote engineering best practices and clean architecture principles.
Drive documentation and knowledge sharing related to cloud architecture, operational excellence, and emerging cloud-native technologies.
Collaborate cross-functionally with product owners, architects, and stakeholders, contributing to strategic technical decisions and long-term cloud roadmaps.
Stay ahead of industry trends in cloud computing, AI/ML workflows, serverless architectures, container orchestration (Kubernetes, Docker), and help drive the adoption of new tools and approaches within the team.
Basic QualificationsBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience.
5+ years of professional experience in designing and building production-grade cloud-native applications.
Proven expertise with at least one major cloud provider (e.g., AWS, Google Cloud Platform, Azure) and deep understanding of its ecosystem.
Strong hands-on experience architecting and deploying RESTful APIs and scalable microservices.
Demonstrated experience building and managing Infrastructure-as-Code (Terraform, CloudFormation, or similar).
Advanced programming proficiency in modern languages such as Python, TypeScript/JavaScript, Go, or Java.
Strong knowledge of containerization and orchestration technologies (Docker, Kubernetes) in production environments.
Practical experience integrating or deploying AI/ML models in cloud workflows (e.g., Vertex AI, OpenAI, SageMaker).
Solid understanding of CI/CD concepts and automation tools.
Excellent problem-solving, debugging, and system optimization skills.
Effective communicator with experience working in Agile environments.
Preferred QualificationsPrior experience in a technical leadership role, guiding engineers through complex design decisions, architecture reviews, and code quality standards.
Mentorship experience, helping to upskill junior team members and foster a culture of knowledge sharing.
Cloud certification at the professional or specialty level, such as:
AWS Certified Solutions Architect — Professional
Google Professional Cloud Architect
Microsoft Azure Solutions Architect Expert
Hands-on experience integrating AI/ML solutions at scale, particularly for real-time inference or large-scale data pipelines.
Familiarity with DevSecOps practices and secure cloud architectures.
Excellent collaboration skills with cross-functional and geographically distributed teams.#MBG Additional Locations: * Brazil - São Paulo - Jaguariúna * Brazil - São Paulo - JAGUARIUNA * Brazil * Brazil - São Paulo * Brazil - São Paulo - Jaguariúna , * Brazil - São Paulo - JAGUARIUNA
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