Apache Airflow Support/Operational Engineer- Remote

• 4+ years hands-on with Apache Airflow in production (not just “used it in a pipeline”) - scheduler, executors, DAG lifecycle, backfills

• Strong troubleshooting of Airflow failures: restart loops, scheduler lag, task queue issues, executor problems, dependency conflicts

• AWS production experience, specifically ECS on EC2 (containerized Airflow) - sizing, deployment, networking

• Security hardening: RBAC, secrets backends, TLS, and reducing Airflow’s provider surface / CVE footprint - this is FedPoint’s core pain, so weight it heavily

• Comfortable with CVE triage and vulnerability justification - assessing exploitability, documenting findings for compliance review

• Python proficiency (Airflow is Python-native; needed to read/debug DAGs and providers)

• Docker/containerization fundamentals

• Strong written communication - client-facing support with SLA-bound response/resolution

Strongly preferred

• Experience supporting federal / government contractor environments; familiarity with FISMA/NIST 800-53/800-171 concepts (support context, not as a certifier)

• Kubernetes (some clients run Airflow there even if FedPoint is ECS)

• CI/CD, infrastructure-as-code (Terraform/CloudFormation)

• Prior SLA-based support or managed-services experience (vs. pure engineering) - knows what “2-hour response” discipline actually means

• Monitoring: CloudWatch, Prometheus, Grafana

Soft requirements that matter for support (not engineering)

• Calm under production-incident pressure; good bedside manner with a stressed client

• Documentation discipline - runbooks, justification write-ups, ticket hygiene

• Able to work a defined coverage window reliably (federal clients notice SLA misses)