Location: Irvine, CA
Duration: Contract
Rate : $55/hr on C2C
Skills required:- AWS, Microsoft Azure, Kubernetes, Docker, Databricks, data build tool, Apache Airflow, AutoSys, Terraform
Role Summary
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.
Monitor platform availability, performance, capacity, job execution, alerts, and logs; improve dashboards and operational visibility.
Support upgrades, patching, vulnerability remediation, access controls, backup, disaster recovery readiness, and production release activities.
Create and maintain runbooks, technical documentation, troubleshooting guides, and knowledge articles.
Collaborate with application, data engineering, security, network, DevOps, and service management teams to resolve dependencies and improve platform reliability.
Participate in on-call or production-support rotation as required by the engagement.
Generic Managerial Skills, If any”
SKILLS_REQUIRED
Cloud Platforms: Hands-on administration and support experience across AWS and Microsoft Azure, basic knowledge on compute, storage, networking, identity, access, and monitoring.
Containers: Practical experience with Kubernetes and Docker, including deployments, services, configuration, logs, health checks, and basic cluster troubleshooting.
Data Platforms: Working knowledge of Databricks, dbt, Apache Airflow, AutoSys, and enterprise data platform operations. Exposure to LASR and Caspian is preferred.
Infrastructure as Code and CI/CD: Experience with Terraform and CI/CD tools such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent.
Scripting: Ability to automate operational tasks using Python, Shell, Bash, or PowerShell.
Observability: Experience with cloud-native monitoring and log analysis using Azure Monitor, AWS CloudWatch, Datadog, Splunk, or similar tools.
IT Service Management: Proficiency with ServiceNow and Jira for incident, problem, change, service request, and backlog management.
Security and Reliability: Understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, platform resilience, and disaster recovery controls.
Professional Skills: Strong troubleshooting, documentation, collaboration, and written and verbal communication skills in an enterprise environment.”
Kind regards,
Venu Gopal
Flexon Technologies Inc.
venu@flexontechnologies.com
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