Nível Acadêmico: Ensino Superior Completo Turno/Horas –> Áreas de Atuação Profissional: TI – Desenvolvimento/Programação Descrição: English advanced or Fluent on Written/Speaking · Master degree in Computer Science, Computer Engineering or equivalent combination of education and experience. · 5+ years of experience in architecting and building platform software in a software product development organization. · 5+ years of experience in coding with Python, Golang, Java and in PaaS platform or data pipeline management. · 2+ years of hands-on experience in design and development on Kubeflow and Machine Learning as Service Applications. · 2+ years of experience in development on Kubernetes CRD and Operator · 2+ years of experience in development with Docker Container, CI/CD Tools(Tekton preferred), Service Mesh(Istio) and AWS Cloud, · 5+ years of experience in database designing, table partitioning and indexing, performance tuning, High Availability, Scalability and Security. · A thorough understanding of the software development lifecycle, agile and scrum development process, and a track record of delivering software on time. · 1 + year of experience on a Machine Learning framework like Tensorflow, Pytorch, MxNet or MPI. Habilidades: Description of activities ? Define, architect, develop Machine Learning as Service platform solutions, framework components and SDK’s. ? Provide API-first principles, microservices, SDLC/MDLC(model development life cycle), CI/CD, quality, security, scalability of cloud, kubernetes platform and open source software and services. ? Clarify requirements, define software roadmaps, align partner teams, and execute to common platform release schedules. ? Help to build and lead a software engineering team that delivers excellent results through rapid iterations. ? Monitor, drive and facilitate growth of software development team’s individual contributors. ? Troubleshoot code level problems quickly and efficiently. Define and drive metrics for software performance and guardrailing. Work with QA to ensure code coverage and stress testing. ? Collaborate with multiple teams across software engineers, data scientists/engineers, and product owners/managers through brainstorming sessions, design reviews, and retrospectives.
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