Position: Kubernetes Administrator
Company: GlobalLogic
Experience required: 3y
English level: intermediate

Job Description
3 + years of strong Kubernetes administration and troubleshooting experience and an overall industry experience of about 14+ years.

Must have virtualization experience like Docker, VMware etc.

Strong working experience with Linux Systems Administration and Troubleshooting. Good knowledge of Linux internals.

Strong scripting skills (i. e. shell scripting, Python, Perl) for automation.

Knowledge of Networking: DNS, NAT configurations, firewall, port mappings etc.

Working experience with source control systems like Git.

Ability to work well with people from many different disciplines with varying degrees of technical experience.

Ability to express complex technical concepts effectively, both verbally and in writing.

Knowledge on Terraform or Ansible is a plus

Excellent communication skills & a team player with proven written and presentation skills in English

Excellent troubleshooting skills

Self-learning abilities

Multi-tasking

 

Job Responsibilities
3 + years of strong Kubernetes administration and troubleshooting experience and an overall industry experience of about 14+ years.

Must have virtualization experience like Docker, VMware etc.

Strong working experience with Linux Systems Administration and Troubleshooting. Good knowledge of Linux internals.

Strong scripting skills (i. e. shell scripting, Python, Perl) for automation.

Knowledge of Networking: DNS, NAT configurations, firewall, port mappings etc.

Working experience with source control systems like Git.

Ability to work well with people from many different disciplines with varying degrees of technical experience.

Ability to express complex technical concepts effectively, both verbally and in writing.

Knowledge on Terraform or Ansible is a plus

Excellent communication skills & a team player with proven written and presentation skills in English

Excellent troubleshooting skills

Self-learning abilities

Multi-tasking

 

Department/Project Description
Ericsson MXE (Model Execution Environment) is an internal Ericsson product, this solution was designed for implementation/training/deployment of custom ML models and provisioning of the trained ML models into different Ericsson cloud-native products.

MXE implements a full ML model lifecycle including its development, training and uploads into the forthcoming model registry. The implemented ML models are to be used with different Ericsson products which should be integrated with MXE. Also MXE is able to ingest and operate with different data streams, NiFi is used for data ingestion and various open-source data storage solutions such as Cassandra, Postgres and Redis are used as a core element of MXE.

MXE is a completely cloud-native solution with modern microservice architecture and it operates in a Kubernetes cluster. The microservices are implemented with Java, Golang and Python with possible migration to Golang.