
ServerBee
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· 59 views · 12 applications · 15d
DevOps Engineer to $3500
Full Remote · Countries of Europe or Ukraine · 3 years of experience · Upper-IntermediateRequirements: 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-IntermediateRequirements: 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.