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Strong employer brand, metro location, mid-level generalist platform role with broad cloud and orchestration skill requirements.
Cloud-native orchestration skills are broadly transferable across industries beyond finance.
Specific mandatory stack (Python, Airflow, Kubernetes, Azure DevOps) increases filter rigor despite no years requirement.
Design, develop, operate, and maintain Apache Airflow-based orchestration and data-processing platforms using Python.
Deploy, configure, troubleshoot applications in Kubernetes environments across on-premises, Azure, and GCP cloud platforms.
Manage CI/CD pipelines with Git and Azure DevOps; ensure production system reliability, security, observability, and perform root-cause analysis for production issues.
Professional experience in production-quality Python software development.
Experience with Apache Airflow or comparable orchestration platforms.
Hands-on experience with Kubernetes and containerized applications.
Experience with Git and Azure DevOps including CI/CD pipelines. Work Experience Required: Not explicitly mentioned in the JD.
Technically strong engineer skilled in orchestration, cloud-native environments, and troubleshooting live production systems.
Experienced in multi-cloud environments (on-premises, Azure, GCP) and container orchestration with Kubernetes.
Familiar with AI-assisted engineering tools and capable of end-to-end ownership from design through production support, collaborating across distributed teams and technical/non-technical stakeholders.