ServerBee

Joined in 2020
73% answers
ServerBee is a European company with expertise and focus in DevOps . We help IT business in supporting critical software applications and infrastructure on AWS, GCP, Azure and DigitalOcean or even BareMetal. Our role typically to transform infrastructure into the container based, help to create microservices architecture, building and implementing Continuous Integration, integrate and cover all parts of the infrastructure by a Monitoring system.
  • · 59 views · 12 applications · 15d

    DevOps Engineer to $3500

    Full Remote · Countries of Europe or Ukraine · 3 years of experience · Upper-Intermediate
    Requirements: Linux (5+years) Docker containers, create docker images (3+years) Kubernetes, — necessarily (2+years) Kubernetes on premise - (1+years) Production experience with at least one: GCP, AWS, AZURE, DO (3+years) Ansible, Terraform...

    Requirements:

    Linux (5+years)

    Docker containers, create docker images (3+years)

    Kubernetes, — necessarily (2+years)

    Kubernetes on premise - (1+years)

    Production experience with at least one: GCP, AWS, AZURE, DO (3+years) Ansible, Terraform (3+years)

    Nginx, Istio, Traefik

    GitLabCI, CircleCI

    MySQL, PostgreSQL, MongoDB

    Prometheus/Loki/Grafana

    Understanding of HTTP, DNS, SSL protocols

    Quick learning abilities

    Solve difficult tasks in a short time

    English upper-intermediate оr higher

     

    Would be a plus:

    Rancher, RKE2

    Python/Ruby/Golang

    GPU nodes for ML

     

    Responsibilities:

    Containerization, migration, automation of web applications

    Support and deployment of applications and servers, infrastructure troubleshooting

    Creating documentation for teamwork

    Ensuring the operability of all systems, testing and upgrades

    Search and management of new technologies for optimal performance

     

    What we provide:

    Fully remote or in office

    Flexible working hours

    Regular salary reviews

    Paid trainings and conferences

    Adequate leadership

     

    About the project:

    Join us in building a cutting-edge SaaS platform, designed to drive sustainability through technology. Our solution leverages modern infrastructure tools, ML technology and DevOps best practices to ensure scalability, security, and high availability. You’ll be part of a forward-thinking team, helping to shape the future of clean energy by building a robust, automated, and scalable infrastructure from the ground up.
     

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  • · 69 views · 2 applications · 15d

    ML/MLOps engineer to $5000

    Full Remote · EU · Product · 2 years of experience · Upper-Intermediate
    Requirements: 2+ years of experience in MLOps/ML. Strong knowledge of Python and SQL. Experience with ML libraries (TensorFlow, PyTorch, NumPy etc.). Experience in machine learning model deployments and pipelines. Experience with MLOps frameworks/tools...

    Requirements:

    2+ years of experience in MLOps/ML.

    Strong knowledge of Python and SQL.

    Experience with ML libraries (TensorFlow, PyTorch, NumPy etc.).

    Experience in machine learning model deployments and pipelines.

    Experience with MLOps frameworks/tools (e.g. Sagemaker pipelines/ Azure ML Studio/ VertexAI/ Kubeflow/ MLFlow).

    Understanding of data integration, and database management.

    Quick learning abilities.

    English upper-intermediate оr higher.

     

    Would be a plus:

    Hands-on experience with Cloud Services(AWS, GCP, Azure).

    Experience with Docker, Kubernetes, CI/CD, IaC, Prometheus, Grafana.

     

    Responsibilities:

    Develop, refine, and use ML engineering platforms and components, development workflow pipelines.

    Deployment of open-source and other models to different instances.

    Collaborate with ML architect  and data scientists to curate high-quality datasets and optimize data workflows.

    Rapid model deployment implementation.

    Developing process-related documentation.

    Kubeflow and MLFlow upgrade.

     

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