Apache Airflow Support/Operational Engineer- Remote

Apache Airflow Support/Operational Engineer

Remote

6 Months Contract

We have 2 positions one mid-level and other one senior level. 

Must-have qualifications

   •    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)