Kubernetes Engineer

Techneptune Consulting Inc

United States

1 day ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Apache ActiveMQ Amazon Web Services Amazon S3 Cloud Computing Continuous Delivery Data Centers DevOps Programming Tools Github Gradle Monitoring of Systems

+24 more

Python (Programming Language) Key Management Apache Maven Message Broker RabbitMQ Ansible Prometheus SonarQube Vault (Revision Control System) SQL Databases Kubernetes Helm Charts HybridCloud Kubernetes Apache Flink Rancher Apache Kafka Database Replication Hardware Infrastructure Terraform Splunk Block Storage Jenkins Artifactory Microservices

Requirements

We need someone who’’s really good at setting up CI/CD pipelines using DevOps tools like Jenkins, Artifactory, Vault, SonarQube, GitHub, Terraform, Rancher, and Harness. It’’s also important that they have experience with deploying on Kubernetes using Rancher or Harness. Plus, they should know about deploying Kafka MRC and using monitoring tools like Logic Monitor and Splunk. And it’‘d be great if they have experience with AWS services, especially setting up S3 and AWS Artifactory, and know how to do S3 replication.
Experience with Rancher RKE2 K8s clusters and orchestration platform
K8S cluster management, Monitoring, operational tools integration
K8s cluster and secrets management integration
K8s Calico CNI configuration and troubleshooting experience
K8s CSI plug-ins with object, file and block storage vendors
Kubernetes backup solution and support
S3/Cloudian object storage for shared infrastructure
Specializing in Cloud Infrastructure Modernization, virtualization, data center setup, DR & BC Strategies, and DevOps
Experience in on-premises data center operations, AWS hosted data center and operations management
Pilot Kafka data replication between AWS and On-Prem
Pilot SQL DB (CockroachDB) to run in AWS and On-Prem and the data replication between them
Hands on experience with migrations tools
Experience with continuous deployment tools, techniques, and automation frameworks - especially Terraform Enterprise and Ansible.
Hands-on experience writing testable scripts using Python or other languages.
Experience managing helm charts and deploying into Kubernetes (k8s)
Expertise with monitoring related tools and frameworks like Splunk, LogicMonitor, SignalFX, and Prometheus.
Worked on projects involving deployment and management of micro services, and hybrid cloud/on-prem infrastructure
Intermediate working knowledge of development tools like Maven/Gradle, Java, and distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.
Good to Have
Knowledge of setting up CI/CD pipelines for streaming Flink based applications is an added advantage