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# Platform Engineer

- **Company:** Diverse Lynx LLC
- **Location:** Irvine, CA, United States
- **Experience:** Expert
- **Salary:** $150,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, JIRA, CA Workload Automation Ae, Microsoft Azure, Backup Devices, Bash Shell, Cloud Computing, Continuous Integration, Information Engineering, Data Infrastructure, DevOps, Disaster Recovery, Github, Identity and Access Management, Python (Programming Language), Key Management, Windows PowerShell, Role-Based Access Control, Runbook, Software Vulnerability Management, Enterprise Data Management, Datadog, Data Logging, Scripting, Cloud Monitoring, System Availability, HybridCloud, Kubernetes, Infrastructure Automation Frameworks, Cloudwatch, Terraform, Splunk, Docker, Jenkins, Servicenow, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/30676dd2-d77d-4f2d-bd6e-6fcba372101e/platform-engineer

## About the Role

6 years of experience in Cloud, Platform Engineering, DevOps, or Infrastructure.
Hands-on experience with AWS and Azure.
Strong knowledge of Kubernetes and Docker.
Experience with Terraform and CI/CD.
Experience with Databricks, dbt, Apache Airflow, or AutoSys.
Scripting experience with Python, Bash, Shell, or PowerShell.
Experience with cloud monitoring and logging tools.
Knowledge of IAM, RBAC, secrets management, vulnerability remediation, and disaster recovery.
Experience with ServiceNow and Jira.
Strong troubleshooting, communication, documentation, and problem-solving skills.

## Description

We are seeking a Platform Engineer Jr to support and maintain hybrid cloud infrastructure and enterprise data platforms across AWS and Microsoft Azure. The role will focus on cloud operations, Kubernetes/Docker, Databricks, infrastructure automation, CI/CD, monitoring, incident management, and platform reliability., Administer, monitor, and troubleshoot AWS and Azure cloud environments.
Deploy and support Kubernetes and Docker workloads.
Support Databricks, dbt, Apache Airflow, and AutoSys data platform components.
Troubleshoot infrastructure, container, network, compute, storage, and data platform issues.
Manage incidents, service requests, problems, and changes using ServiceNow and Jira.
Automate operational tasks using Python, Bash, Shell, or PowerShell.
Implement Infrastructure as Code using Terraform.
Support CI/CD pipelines using Harness, Azure DevOps, GitHub Actions, Jenkins, or similar tools.
Monitor platform health, performance, capacity, alerts, and logs.
Work with Azure Monitor, AWS CloudWatch, Datadog, or Splunk.
Support IAM/RBAC, secrets management, patching, vulnerability remediation, backups, and disaster recovery.
Create and maintain runbooks, technical documentation, and troubleshooting guides.
Collaborate with DevOps, application, data engineering, security, network, and service management teams.
Participate in production support and on-call activities as required.