Platform Engineer

Talentify; Irvine (CA); On-site; USD 66,000 - 94,000; Full time

Job summary

Diverse Lynx LLC currently has an onsite Irvine, CA role for a cloud/DevOps engineer on a 6+ month engagement. You will administer and monitor hybrid cloud infrastructure across AWS and Azure, and deploy containerized workloads with Kubernetes and Docker.

You’ll maintain Databricks, dbt, Airflow, AutoSys, LASR, and Caspian, including scheduling jobs and integrations. You will investigate incidents, manage changes via ServiceNow and Jira, and drive automation through IaC and CI/CD to improve

Qualifications

• Experience administering cloud infrastructure across AWS and Azure.
• Proficient with containerized workloads on Kubernetes and Docker.
• Experience with Databricks, dbt, Airflow, AutoSys, LASR and Caspian.
• Proficient incident, problem, change management in ITSM tools.

Responsibilities

• Administer, monitor, and support hybrid cloud infrastructure and data platform services across AWS and Microsoft Azure.
• Deploy, configure, monitor, and troubleshoot containerized workloads running on Kubernetes and Docker.
• Support platform components including Databricks, dbt, Apache Airflow, AutoSys, LASR, and Caspian, including scheduled jobs, dependencies, and integrations.
• Investigate incidents and service degradation across cloud, network, compute, storage, container, orchestration, and data platform layers.
• Manage incidents, service requests, problems, changes, and engineering backlog items through ServiceNow and Jira in accordance with established SLAs and change controls.
• Automate provisioning, configuration, deployment, health checks, and recurring support activities using scripting, Infrastructure as Code, and CI/CD practices.

Skills

Cloud infrastructure management

Tools

AWS

Microsoft Azure

Kubernetes

Docker

Databricks

dbt

Apache Airflow

AutoSys

LASR

Caspian

ServiceNow

Jira

Job description

About this job

Location: Irvine, CA - Onsite

Duration: 6+ Months

Rate : $58/hr

• Administer, monitor, and support hybrid cloud infrastructure and data platform services across AWS and Microsoft Azure.
• Deploy, configure, monitor, and troubleshoot containerized workloads running on Kubernetes and Docker.
• Support platform components including Databricks, dbt, Apache Airflow, AutoSys, LASR, and Caspian, including scheduled jobs, dependencies, and integrations.
• Investigate incidents and service degradation across cloud, network, compute, storage, container, orchestration, and data platform layers.
• Manage incidents, service requests, problems, changes, and engineering backlog items through ServiceNow and Jira in accordance with established SLAs and change controls.
• Automate provisioning, configuration, deployment, health checks, and recurring support activities using scripting, Infrastructure as Code, and CI/CD practices.

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