We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world ML services and customer deployments. In this role, you'll own reliability, velocity, and cost efficiency for products and customer deployments.
:Responsibilities
Design, develop, build and maintain the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Work closely with our data scientists and developers to create training, inference and serving pipelines.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production, and test environments
:Responsibilities
Design, develop, build and maintain the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Work closely with our data scientists and developers to create training, inference and serving pipelines.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production, and test environments
Requirements:
At least 4-5 years of experience in one of the following roles: DevOps, MLOps.
Excellent communication and people oriented
Experience with design, build, development and maintenance of DevOps solutions.
Experience with one of the major cloud providers: AWS, GCP, Azure.
Experience Working cloud & on-prem environments and solutions.
Solid Linux system expert skills – a must
Vast Experience with applications and tooling including Kubernetes, Helm, Terraform, Ansible, SQL/NoSQL/Graph DBs, MLFlow, Jenkins, GitHub, etc.
Experienced with CI\CD technologies.
Experience with bootstrapping projects, introducing new technologies and building systems from scratch.
Good coding capabilities (python\bash etc.)
Advantage- Experience working on endpoint products (agent/sensors/collectors)
Advantage- Experience working on AI components (Training, inference, serving)
Tech stack:
AWS, Kubernetes, EKS, ECS, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker+Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, MLFlow, Clickhouse, Jupyter and more.
At least 4-5 years of experience in one of the following roles: DevOps, MLOps.
Excellent communication and people oriented
Experience with design, build, development and maintenance of DevOps solutions.
Experience with one of the major cloud providers: AWS, GCP, Azure.
Experience Working cloud & on-prem environments and solutions.
Solid Linux system expert skills – a must
Vast Experience with applications and tooling including Kubernetes, Helm, Terraform, Ansible, SQL/NoSQL/Graph DBs, MLFlow, Jenkins, GitHub, etc.
Experienced with CI\CD technologies.
Experience with bootstrapping projects, introducing new technologies and building systems from scratch.
Good coding capabilities (python\bash etc.)
Advantage- Experience working on endpoint products (agent/sensors/collectors)
Advantage- Experience working on AI components (Training, inference, serving)
Tech stack:
AWS, Kubernetes, EKS, ECS, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker+Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, MLFlow, Clickhouse, Jupyter and more.
This position is open to all candidates.
