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Lead technical design and execution for an AI/ML mission platform: drive architecture decisions, lead major engineering epics, simplify distributed systems, optimize edge and cloud performance, mentor engineers, integrate ML models and inference pipelines, and represent technical capabilities to DoD stakeholders.

As a Senior DevOps Engineer, you will design and maintain Kubernetes-based infrastructure, manage CI/CD pipelines, develop Infrastructure as Code, optimize data pipelines, and ensure platform reliability and security for defense applications.

Design, build, and operate secure, production-grade Kubernetes/Docker clusters and CI/CD/GitOps pipelines for a real-time, data-intensive DoD platform. Work with streaming tech (Kafka/Pinot/Flink), IaC, monitoring/logging, and cloud infrastructure to enable millisecond-latency event processing and operational decisioning.

The Program/Product Manager will oversee program health, manage Agile software development teams, engage with DoD stakeholders, and ensure program success while adapting to evolving requirements.