Senior Software Development Engineer - Sr Cloud Dev **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 ourStoryHub (https://news.lenovo.com/) . **Description and Requirements** Scope of Responsibilities + Lead 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 Qualifications + Bachelor’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 Qualifications + Prior 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