Job Details

ID #40914696
State Texas
City Austin
Job type Contract
Salary USD Market Market
Source Systems Integration Solutions, Inc.
Showed 2022-05-15
Date 2022-05-14
Deadline 2022-07-13
Category Et cetera
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DevOps Engineer(Kubernetes/AWS)

Texas, Austin, 78727 Austin USA

Vacancy expired!

Looking for an Kubernetes/AWS DevOps Engineer for our direct client for Austin, TX. If interested please share your resume at Title: DevOps Engineer(Kubernetes/AWS)Location: Austin, TXDuration: 12+MonthsNote: Candidate must relocate in 2 weeks if hired Skill Sets /Experience Preference:AWS 5-10 years Is RequiredKubernetes 5-10 years Is RequiredCloud Networking 5-10 years Is RequiredDocker 2-5 years Is RequiredInfrastructure Monitoring/Maintenance At least 1 year Is Required

Hands-on experience with provisioning, maintaining, deploying Kubernetes clusters in production environments, preferably AWS EKS.Must have deep understanding of Kubernetes and Docker architecture and associated tools.Experience with deploying and upgrading mission critical applications on Kubernetes clusters.Experience with writing Kubernetes manifest files and docker files.Hands-on experience with provisioning and managing AWS services such as EC2, EBS, S3, IAM, VPC etc using IAC tools Terraform or Cloud formation.Experience in migrating applications from On-premise bare metal to AWS EKS and support Hybrid environments.Participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.Hands on experience in implementing industry standard security and compliance practices for docker, Kubernetes, AWS etc.Experience with observability, alerting and tracing of distributed systems using tools like Prometheus, Grafana, Instana, Datadog etc.Experience configuring and maintaining logging solutions like Splunk, ELK stack.Must be able develop and maintain continuous integration and continuous deployment systems using tools like Git, GitHub, Jenkins, Spinnaker and Helm.Ability to configure and manage both monitoring and logging solutions/stacks without any mentoring.Identify gaps, suggest improvements and coordinate monitoring, alerting and logging improvements.Ability to debug issues with Kubernetes clusters and complex applications hosted on k8s.Understands networking and messaging, specially between services in hybrid architectures.Self-motivation, attention to detail, and desire to continue learning.AWS certification preferred.

Vacancy expired!

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