Position: Big Data Kubernetes Architect
Company: GlobalLogic
Category: DevOps
Experience required: 5y
English level: intermediate
Published: 2021-08-01T00:00:00+03:00

Description:
15+ years of experience, with strong hands-on experience as Enterprise Software Architect 
Very strong in microservice architecture concepts and development
Strong in big data technologies like Hadoop, Spark, Kafka, Zookeeper
Very good in programming (Java/Python/Golang)
Experience with modern distributed systems and tooling, for example, Prometheus, Terraform, Kubernetes, Helm, Vault, CI/CD systems.
Experience with delivering software products, for example release management, documentation
Experience with usage/integration of public cloud services, for example, identity and access management, key management, storage systems, CPU/GPU, private/virtual networking, and Kubernetes services.
Strong understanding of development practices like architecture design, coding, test and verification.
Exposure to public cloud technologies (Azure or AWS or GCP) 
Very good in Linux 
Good understanding of secure product development
Exposure to AI/ML domain and tools like Kubeflow, Tensorflow, MLFlow is a plus
Empowering Skills and Commitment.
Good  communications and presentation capabilities
Good understanding of standardizing way of working.

Requirements:
15+ years of experience, with strong hands-on experience as   Enterprise Software Architect 
Very strong in microservice architecture concepts and development
Strong in big data technologies like Hadoop, Spark, Kafka, Zookeeper
Very good in programming (Java/Python/Golang)
Experience with modern distributed systems and tooling, for example, Prometheus, Terraform, Kubernetes, Helm, Vault, CI/CD systems.
Experience with delivering software products, for example release management, documentation
Experience with usage/integration of public cloud services, for example, identity and access management, key management, storage systems, CPU/GPU, private/virtual networking, and Kubernetes services.
Strong understanding of development practices like architecture design, coding, test and verification.
Exposure to public cloud technologies (Azure or AWS or GCP) 
Very good in Linux 
Good understanding of secure product development
Exposure to AI/ML domain and tools like Kubeflow, Tensorflow, MLFlow is a plus
Empowering Skills and Commitment.
Good  communications and presentation capabilities
Good understanding of standardizing way of working.

Job Responsibilities:
15+ years of experience, with strong hands-on experience as   Enterprise Software Architect 
Very strong in microservice architecture concepts and development
Strong in big data technologies like Hadoop, Spark, Kafka, Zookeeper
Very good in programming (Java/Python/Golang)
Experience with modern distributed systems and tooling, for example, Prometheus, Terraform, Kubernetes, Helm, Vault, CI/CD systems.
Experience with delivering software products, for example release management, documentation
Experience with usage/integration of public cloud services, for example, identity and access management, key management, storage systems, CPU/GPU, private/virtual networking, and Kubernetes services.
Strong understanding of development practices like architecture design, coding, test and verification.
Exposure to public cloud technologies (Azure or AWS or GCP) 
Very good in Linux 
Good understanding of secure product development
Exposure to AI/ML domain and tools like Kubeflow, Tensorflow, MLFlow is a plus
Empowering Skills and Commitment.
Good  communications and presentation capabilities
Good understanding of standardizing way of working.