Raft is building a real-time data platform for the Department of Defense (DoD), aimed at enhancing operators' awareness of critical events, including instances like the Chinese balloon and Cessna over the White House incidents. Central to this data platform is the aggregation of real-time data from over 750 sensors. This data is subsequently enriched, rendered queryable, and ultimately presented as a common operational picture to empower operators in making time critical and pertinent decisions. Our system efficiently handles the processing of over a billion events daily, all achieved with millisecond-level latency. Key technologies include Kafka, Kafka Streams, Pinot, Java, Scala, and Kubernetes. Your involvement in this role will encompass hands-on collaboration with a team of accomplished individuals, collectively striving towards excellence.

Architect, develop and implement end-to-end cluster and application lifecycles

Work with clients architecting, developing and implementing Kubernetes or Docker solutions both in the Cloud and on-premises

Develop and implement CI/CD pipelines

Implement GitOps for Software Delivery

What we are looking for:

5+ years of relevant industry experience

5+ years' experience with Docker and Kubernetes, provisioning production clusters and maintaining their compliance.

Experience with building and managing data-intensive platforms using popular streaming technologies such as Kafka, Pinot, or FlinkExperience in data management technologies including ETL processing, data governance, and data storage

Experience with AWS and/or other cloud computing solutions

Experienced with building, deployment, release automation, or orchestration

Experience with Kubernetes monitoring (i.e. Prometheus, Grafana) and logging (i.e. Fluentbit, Kibana, Loki) solutions

Staff Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Raft

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