Job description

Job summary:

As a Cloud Application and DevOps Engineer, you will play a critical role in the creation of large-scale, distributed applications that have strong federation, dynamic scaling and configuration, security and policy management, and better resilience and fault tolerance. **

Job Responsibilities** :

Strong Kubernetes skills including disconnected installation, Kubernetes administration, and troubleshooting issues with the system
Extensive Experience with OpenShift, AWS, Docker, Kubernetes, Ansible and other container orchestration/PaaS technologies
Must have solid bash and Python scripting experience.
Strong Linux Administration background with a working knowledge of systems
Implementation and troubleshooting experience with various virtualization technologies and tools such as KVM
Experience with the majority of EC2, ELB, EMR,,S3 CLI and API scripting
Strong knowledge of Kubernetes operational building blocks
- i.e., Kube API, Kube Scheduler, Kube Controller Manager, ETCD etc
Providing solutions to common errors, including Create Container ConfigError, ImagePullBackOff, CrashLoopBackOff and Kubernetes Node Not Ready.
Extensive knowledge on AWS broad range of services such as provisioning EC2, AMI, VPC, ELB, Auto-Scaling, Security Groups, IAM, EBS, AMI, S3, SNS, SQS, Route53, ELB, CloudWatch, Cloud Formation, Cloud front, Cloud trial, RDS, EMR, Red shift, AWSOpsWork.
3+ years of experience with container tools, including Docker, Kubernetes,
5+ years of experience in an infrastructure, DevOps, or application development role
Experience with infrastructure-as-code environments, including activities around the automated server or network configurations, large-scale software deployments, or monitoring and testing, such as continuous integration and continuous delivery (CI/CD)
Experience with using or migrating continuous integration (CI) and continuous delivery.
(CD) pipeline solutions or tools, including Jenkins, Git Designed, configured and managed cloud infrastructures utilizing Amazon Web Services including core services EC2, SSN S3, Glacier, Auto Scaling Groups, ELB, EBS, ECS and Database services RDS, DynamoDB, Aurora, Elastic Search and application layer services like API Gateway, Lambda and network layer services like VPC and its subcomponents and Security layers services like IAM, SSM, Cloud trail, Cloud watch, KMS and Integration layer Services like Kinesis, SNS, SQS, Route53 and
Orchestrated application workflows using AWS Faregate, EKS
Knowledge of Linux or UNIX administration and automation
Knowledge of cloud and virtualization-based technologies, including Docker, Azure, Amazon Web Services (AWS), or VMware
Support cloud-hosted systems in a 24x7 environment including troubleshooting, hot fixing, and root cause analysis
Configure the cluster for Kubernetes networking, load balancer, pod security and certificate management
Configure monitoring tools such Datadog, Dynatrace AppDynamics, ELK, Grafana, Prometheus, or equivalent as required.
Strong knowledge of Kubernetes application deployment building blocks i.e., Deployments, Services, Persistent Volumes and Config Maps implement and operate containerized cloud application platform solutions with a focus on application concerns, including cloud-ready, distributed application architectures, migrating workloads to containers, containerized, development workflows, and integrating container platforms with automated continuous integration (CI) and continuous delivery (CD) pipelines
The Cloud Infrastructure Engineer will be part of a team of engineers which works on automation and configuration as code for foundational architecture related to connectivity across Cloud Service Providers
Participate in design reviews of architecture patterns for service/application deployment in cloud (AWS)