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Senior DevOps Engineer

Senior DevOps Engineer

Innovecssinop, estado de mato grosso, br
Há 8 dias
Descrição da vaga

We are looking for a Senior DevOps Engineer.

Innovecs is a global digital services company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Collaboration Tech, and Gaming.

For the fifth year in a row, Innovecs is included in the Inc. 5000, the list of fastest-growing private companies in the US, and a ranking of the best global outsourcing service providers by IAOP. Recently, Innovecs was honored with the prestigious Global Good Awards for the Employee Engagement & Wellbeing, won gold at the Employer Brand Management Awards, and was included in the Global Top 100 Inspiring Workplaces Ranking.

Our value to you :

  • Flexible hours and remote-first mode,
  • Competitive compensation,
  • Complete Hardware / Software setup – anything you need for work,
  • Open-door culture, transparent communication, and top management at a handshake distance,
  • Health insurance, vacation, sick leaves, holidays, paid maternity / paternity leave,
  • Access to our learning & development center : workshops, webinars, training platform, and edutainment events,
  • Virtual team buildings and social activities.

Requirements :

Education & Experience :

  • 5+ years of experience in DevOps roles with deep, hands-on experience across both Microsoft Azure and Amazon Web Services (AWS),
  • Expertise in CI / CD pipeline development and automation using GitLab Ultimate,
  • Hands-on experience with Docker and Kubernetes (AKS & EKS),
  • Proficiency in Infrastructure as Code (IaC), primarily using Terraform,
  • Experience in monitoring, performance optimization, and system security,
  • Excellent problem-solving skills.
  • Nice-to-Have Skills :

  • Advanced Cloud Security : Experience with cloud-native security tools, identity management, and implementing security best practices,
  • MLOps Experience : Exposure to building or managing infrastructure for machine learning pipelines (e.g., Azure Machine Learning, AWS SageMaker, MLFlow, KubeFlow).
  • Responsibilities :

  • Design, build, and maintain secure, scalable, and resilient cloud infrastructure across Azure and AWS,
  • Develop and automate CI / CD pipelines for application deployment using GitLab Ultimate,
  • Manage and optimize containerized environments using Docker and Kubernetes (AKS / EKS),
  • Implement and maintain Infrastructure as Code, primarily using Terraform,
  • Monitor system performance, ensure high availability, and proactively address issues,
  • Apply cloud security best practices, including identity management and threat detection,
  • Continuously evaluate and integrate new tools and technologies to improve DevOps processes.
  • Criar um alerta de emprego para esta pesquisa

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