ServerBee

Requirements:

Linux (3+years)

Docker containers, create docker images (3+years)

Kubernetes, — necessarily (2+years)

Rancher/RKE2 - (1+year)

Production experience with at least one: GCP, AWS, AZURE,  (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

K8s on premise will be a plus

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:

Part-time

Fully remote 

Adequate leadership

Requirements:

2+ years of experience in MLOps/ML.
4+ years of experience in DevOps.

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).

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

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

Understanding of data integration, and database management.

Quick learning abilities.

English upper-intermediate оr higher.

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.