Adapt cloud architecture to customer reality ensuring high availability, scalability, and security. Comfortable with distributed systems. Familiarity with data pipelines, distributed processing, fault tolerance, performance optimization. Experience with message queues, event-driven architectures (e.g., Kafka, Google pub/sub). Experience with cloud managed services and storage (GCP, AWS, Azure). Experience with developer experience tools. Experience working on CI/CD pipelines. Experience with containerization in production environments. Experience in Go, Ruby or Python (or other languages) is a plus. DevOps experience with Git, Docker, k8s, Terraform, baremetal. Experience with monitoring and alerting (Grafana, Prometheus, Datadog). Active TS/SCI Clearance Preferred.