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  • Cloud Engineer (Python)
    AI/ML

    Cloud Engineer (Python)

    5 359 - 6 821 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      GCP

      advanced

      Kubernetes

      advanced

      Python

      advanced

      Terraform

      regular

    Job description

    Online interview

    Software Engineer - Cloud Engineer

    Join our dynamic team as a Software Engineer, contributing to the development of a cutting-edge cloud-native solution at the intersection of AI, GenAI, ML, and RAG technologies. We are seeking talented individuals passionate about leveraging public cloud services, Kubernetes, and on-premises infrastructure to drive innovative solutions. If you’re excited about pushing the boundaries of cloud computing and AI, we invite you to be part of our team of experts!


    Responsibilities:

    • Develop, maintain, and enhance our cloud-native platform across multiple public clouds (preferably GCP) and on-premises environments.
    • Design, develop, and test high-quality Python code following best practices in microservices architecture, design patterns, OOP, and testing.
    • Implement CI/CD pipelines and manage deployments using strategies like blue-green and red-black.
    • Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools (preferably Pulumi, also Terraform or CDK).
    • Develop Kubernetes-native applications, including working with containers, Docker, and potentially Kubernetes operators.
    • Collaborate with cross-functional teams to translate business requirements into technical solutions.
    • Communicate effectively in English, both written and verbal, to share knowledge and ideas in internal or external talks and workshops.


    Qualifications:

    • Bachelor’s or advanced degree in Computer Science, Engineering, or a related field.
    • Proven experience (3+ years) in software engineering with strong proficiency in Python, microservices architecture, design patterns, OOP, and testing.
    • Solid experience with development in public clouds (preferably GCP).
    • Experience with CI/CD tools and methodologies, including deployments and release strategies like blue-green and red-black.
    • Proficient in Infrastructure as Code tools (preferably Pulumi, also Terraform or CDK).
    • Understanding of containers, Docker, and experience with Kubernetes, including developing Kubernetes-native applications.
    • Effective communication skills in English, both written and verbal.


    Bonus Skills:

    • Experience in software design and architecture.
    • Experience with GitOps tools (Argo CD, Flux CD).
    • Experience or interest in AI, ML, GenAI, RAG, and MLOps.
    • Experience with Kubernetes Operators.
    • GCP Professional Certificate


    We Offer:

    • Competitive salary and benefits package.
    • Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
    • Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
    • Opportunity to participate in conferences and workshops.
    • Opportunity to participate in Tech Talks (internal training and seminar sessions).
    • Flexible working hours and remote work options.


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