Python developer with strong kubernete

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The Polaris program aims to provide holistic architectural strategy for the post trade and real-time risk/monitoring plant, as well as standardize the integration between the critical low-latency trading path and post execution plant.

It represents the north-star Front-to-Back architecture optimizing for scalability, resiliency, recoverability, manageability, simplicity, performance, time-2-market, and cost.
The team implements, manages and operates modern platforms as a service for High Availability and Resiliency, modern Observability, Configuration, Orchestration, Authentication, and Logging.
We are seeking a hands-on Kubernetes/Python Developer with proven track-record of large-scale distributed systems and Kafka experience.
We provide great opportunities to solve problems like:
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Low latency distributed plants for large volume of real-time trading data
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Elastic capacity for large/bursting volume of data
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Renovated tooling to manage cloud-based resources and boost the time to market for new features
We will utilize cutting-edge new technologies like Kubernetes, Helm, CDK, Kafka, Git Ops, Rocks DB, Mongo DB, and Modern Observability.
The team encourages open communication, new technologies