DURATION: 6-MONTH CONTRACT TO START, (POTENTIALLY CONVERT TO FULL TIME AFTER 6 MONTHS)

Working Hours: 1:00pm 10:00pm CST daily
About the Role:
We are seeking a highly skilled DevOps Engineer with strong expertise in Airflow, Kubernetes, and CI/CD automation. This role is critical to supporting our production environment, ensuring reliability, scalability, and efficient deployment of applications and workflows. The ideal candidate has deep hands-on experience with Airflow DAGs, Kubernetes deployments, and monitoring tools, and is comfortable working in a fast-paced production support environment.

Key Responsibilities:

• Manage deployment pipelines using Jenkins for multiple web and application servers
• Deploy and maintain applications in Kubernetes environments (AKS preferred) using Helm/Kubectl
• Implement, configure, and troubleshoot Airflow (v2.10 or 3.0+) via Helm charts in Kubernetes
• Develop and maintain Airflow DAGs (Python) for complex schedules, triggers, cron jobs, and hooks
• Monitor and troubleshoot Airflow DAG execution daily across multiple environments
• Configure alerts/notifications for production and UAT job failures; respond in line with SLAs
• Utilize monitoring and observability tools (Splunk, Grafana, Prometheus) for production support
• Manage version control and release processes using Git or similar repositories
• Write and maintain Shell and Python scripts to automate operational tasks
• Provide production support during scheduled hours and extended coverage as needed

Required Skills & Experience:

• Strong understanding of web and application server architecture
• Proven experience with Jenkins for CI/CD pipelines
• Hands-on expertise with Kubernetes (AKS preferred) and Helm
• In-depth experience configuring and supporting Airflow in Kubernetes
• Solid Python development skills, specifically for Airflow DAGs
• Proficiency with monitoring/observability tools (Splunk, Grafana, Prometheus)
• Strong scripting ability in Shell and Python
• Excellent troubleshooting skills and ability to resolve production issues quickly

• Manage deployment pipelines using Jenkins for multiple web and application servers
• Deploy and maintain applications in Kubernetes environments (AKS preferred) using Helm/Kubectl
• Implement, configure, and troubleshoot Airflow (v2.10 or 3.0+) via Helm charts in Kubernetes
• Develop and maintain Airflow DAGs (Python) for complex schedules, triggers, cron jobs, and hooks
• Monitor and troubleshoot Airflow DAG execution daily across multiple environments
• Configure alerts/notifications for production and UAT job failures; respond in line with SLAs
• Utilize monitoring and observability tools (Splunk, Grafana, Prometheus) for production support
• Manage version control and release processes using Git or similar repositories
• Write and maintain Shell and Python scripts to automate operational tasks
• Provide production support during scheduled hours and extended coverage as neede