Platform Engineer
Posted on :
26-01-2024
Employer Active
1 Vacancy
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Jobs by Experience
12-18years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
26-01-2024
Job Description
DATAECONOMY is one of the fastestgrowing Data & Analytics company with global presence. We are welldifferentiated and are known for our Thought leadership outofthebox products cuttingedge solutions accelerators innovative use cases and costeffective service offerings.
We offer products and solutions in Cloud Data Engineering Data Governance AI/ML DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS Collibra cloudera neo4j DataRobot Global IDs tableau MuleSoft and Talend.
Key Responsibilities:
Experience in both VMbased and containerbased deployments and setup of common infrastructure platforms.
Lead the implementation of CI/CD pipelines in a Kubernetes environment.
Direct and review the configuration and execution of Terraform Ansible automation pipelines.
Utilize Docker images networking and security best practices.
Serve as a key resource to production control teams for monitoring failover and logging activities.
Elicit requirements for application deployment and manage workload sizing.
Monitor application performance using Splunk cloud and collaborate with product teams for tuning.
Collaborate with integration/performance testing teams for integrated release testing in Integration/Release Acceptance environments.
Provide guidance to systems engineering and DevOps professionals for building highperformance environments.
Implement infrastructure failover scenarios and perform application deployments in VM and containerbased environments.
Lead the implementation of CI/CD pipelines in a Kubernetes environment.
Direct and review the configuration and execution of Terraform Ansible automation pipelines.
Utilize Docker images networking and security best practices.
Serve as a key resource to production control teams for monitoring failover and logging activities.
Elicit requirements for application deployment and manage workload sizing.
Monitor application performance using Splunk cloud and collaborate with product teams for tuning.
Collaborate with integration/performance testing teams for integrated release testing in Integration/Release Acceptance environments.
Provide guidance to systems engineering and DevOps professionals for building highperformance environments.
Implement infrastructure failover scenarios and perform application deployments in VM and containerbased environments.
Requirements
Experience in DevOps systems engineering Hadoop Admin or related field.
Expertise in Kubernetes Terraform Ansible Helm and Docker.
Strong experience with AWS cloud services.
Proficiency in Microservice architecture and container orchestration platforms preferably AWS EKS.
Knowledge of Splunk Grafana Prometheus or similar monitoring tools.
Strong problemsolving skills and ability to work in a dynamic and challenging environment.
Expertise in Kubernetes Terraform Ansible Helm and Docker.
Strong experience with AWS cloud services.
Proficiency in Microservice architecture and container orchestration platforms preferably AWS EKS.
Knowledge of Splunk Grafana Prometheus or similar monitoring tools.
Strong problemsolving skills and ability to work in a dynamic and challenging environment.
Platform Engineer - DevOps
Employment Type
Full Time
Key Skills
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