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ืืืง ืืื ืืืืื TECH ืืืืืกืช ืืืฉ/ืช ืชืงืฉืืจืช- ืชืืื/ืช DATA & NETWORKING .
ืืชืืื/ืช ืขืืื/ืช ืืฆืืืช ืืืขื ืืง ืฉืืจืืช ืืื ื - ืืคืขืืช ืงืืฉืืจืื ืืื ืืืืืืื ืืืชื ืชืืืื ืืื ืืช ืขืืืจ ืฉืืจืืชืื ืืื, ืืืงืืืืช ืืืฉืจืืืืื ืืืืืืืืืืื ืฉื ืืืืจื.
ืืฉื ืืขืืืื ืืื ืืงืืืืช ืืืืืืืืื ื ืืจืฉืช ืจืื ืืืืื ืืื ืืืืช- ืืจืืช ืืื ื, ืื ืืืืช ืืื ืืช, ืืืืืืช ืืืืื ืืข"ืค ืืืืชื.
ืืืืจื ืืื ืืกืคืง ืชืืืื ืืื ืืช ืืขืืืืืช ืชืงืฉืืจืช ืื ืชืื ืื, ืืืืคืฉืจ ืืืงืืืืช ืืื ืงืืฉืืจืืืช (ืืจืืืช ืชืขืืืจื ืชืงืื ื)
ืืงืืื ืชืงืฉืืจืช ืืืขืืืืื ืฉืืงืื ื ืขืืืจื. ืืชืืืื ื ืืชื ืช ืืงืฆื ืืงืฆื- ืื ืืจืืช ืืคืขืื ืืืงืื ืฉื ืคืจืืืงืืื ืืื, ืืื ืืจืื ืฉื ืชืืืืงื, ืคืชืจืื ืชืงืืืช (ืืืื ื ืคืืืช ืงืืืื, LATENCY, PACKET LOSS ืืขืื) ืืืชื ืฉืืจืืช ืฉืืืฃ.
ืืฉืืจืืช ืืืงืืืืช ื ืืชื ืืจื ืืขื ื ืืจืืืง, ืื ืืจืฉืช ืืืืืช ืขืืืื ืืื ืืืฉืงืื ืืืืื ืื- ืคื ืืืืื ืืืืฆืื ืืื- ืืืืืืช ืืืจืื ืืืืจื ืืชืื ืืืืฃ, ืื ืืื ืคืจืืืงืืื, ืืคืขืืืื ืืจืื ืืืื (ืืืื BT, AT&T, Verizon ืืขืื).
ืฉืขืืช ืคืขืืืืช ืืฆืืืช ืื 8:00-19:00
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ืืืื ืกืืื ืืืกื ืฉืืฉืชืื ืืฆืืืช ืชืืงืืฃ ืืืืืื ืืืืืื ืื ืืืื ืืกืืืื ืื - ืืืืจืื ืขื ืืืื ื ืืืขืจืืช ืืืืืื ืื ืืืืืื ืืกืืืืกืืืื ืืืฉืืฉืื ืืช ืืื ืง ืืชืืืืื ืืืืื ืื ืืืื: ืืฉืจืื ืงืืขืื ืื ืืขืกืงื, ืชืืืืจ, ืฉืืืืง, ืฆืืืช ืืชืืืืื ื ืืกืคืื.
ืืชืคืงืื ืืืื ืืืฆืืข ืืืื ื, ืืขืจืื ืืืืชืืืจ, ืฉืืืื ืืขืชืื ืื ืคืืชืื ืืงืืื, ืฉื ืืืืืื ืืชืงืืืื ืืืื ML, AI. (ืืืืื, ืกืืืื, ืืืืื ืื ืืืืืืช ืืขืื).
ืืชืคืงืื ืืืื ืืื ื ืขืกืงืืช ืฉื ืืืืื, ื ืืชืื ืืชืืืืืืืืืช, ืืืฆืืข ืืืืงืืช ืชืืงืืฃ ืขืฆืืืืืช, ืื ืืืช ืืืืืื, ืกืืืื ืืชืืขืื ืืชืืงืืฃ ืืืฆืืช ืืืฆืืื ืืืืืฆืืช ืืคื ื ืื ืืื ืืืืจื, ืืืชืื ืืื ืืืืช ืื ืง ืืฉืจืื ืืชืงื ื Model Risk Management ืืื ืืืืืืื.
ืื ืืกืฃ, ืชืืงืืฃ ืืืืื ื ืฉื ืืืืื AI, ืืืฉืื ืขืืื ืืืื ื ืืืืืืืชืืช ืืืืืขืช ืคืชืจืื ืืช AI ืืชืืืืื ืฉืื ืื ืืื ืง.

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Youโll contribute to a high-impact codebase that scans, analyzes, and interprets complex Kubernetes configurations and behaviors at scale. This is a unique opportunity to shape the future of Orcaโs KSPM product โ owning core backend components, driving architectural improvements, and delivering features that address real-world customer needs.
: Python, Go, K8s APIs, SingleStore, Postgres, Redis, Kafka, AWS, GCP, Azure, ElasticSearch
On a typical day youโll
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As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.
In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. Youโll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.
About you
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: Python, Linux & Windows internals, Container Runtimes, Postgres, Redis, Kafka, AWS, GCP, Azure
On a typical day youโll:
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As a Staff DevOps Engineer, you will own production infrastructure across our cloud environments and work closely with platform, dev-infra and automation tests teams to drive operational excellence. You need to be ready to lead cross-team initiatives, proactively identify areas for optimization, and define scope both for yourself and the team.
You will be responsible for:
Requirements:

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Highlights
About you

ืืืง ืืื ืืืืื TECH ืืืืืกืช ืืืฉ/ืช ืชืงืฉืืจืช- ืชืืื/ืช DATA & NETWORKING .
ืืชืืื/ืช ืขืืื/ืช ืืฆืืืช ืืืขื ืืง ืฉืืจืืช ืืื ื - ืืคืขืืช ืงืืฉืืจืื ืืื ืืืืืืื ืืืชื ืชืืืื ืืื ืืช ืขืืืจ ืฉืืจืืชืื ืืื, ืืืงืืืืช ืืืฉืจืืืืื ืืืืืืืืืืื ืฉื ืืืืจื.
ืืฉื ืืขืืืื ืืื ืืงืืืืช ืืืืืืืืื ื ืืจืฉืช ืจืื ืืืืื ืืื ืืืืช- ืืจืืช ืืื ื, ืื ืืืืช ืืื ืืช, ืืืืืืช ืืืืื ืืข"ืค ืืืืชื.
ืืืืจื ืืื ืืกืคืง ืชืืืื ืืื ืืช ืืขืืืืืช ืชืงืฉืืจืช ืื ืชืื ืื, ืืืืคืฉืจ ืืืงืืืืช ืืื ืงืืฉืืจืืืช (ืืจืืืช ืชืขืืืจื ืชืงืื ื)
ืืงืืื ืชืงืฉืืจืช ืืืขืืืืื ืฉืืงืื ื ืขืืืจื. ืืชืืืื ื ืืชื ืช ืืงืฆื ืืงืฆื- ืื ืืจืืช ืืคืขืื ืืืงืื ืฉื ืคืจืืืงืืื ืืื, ืืื ืืจืื ืฉื ืชืืืืงื, ืคืชืจืื ืชืงืืืช (ืืืื ื ืคืืืช ืงืืืื, LATENCY, PACKET LOSS ืืขืื) ืืืชื ืฉืืจืืช ืฉืืืฃ.
ืืฉืืจืืช ืืืงืืืืช ื ืืชื ืืจื ืืขื ื ืืจืืืง, ืื ืืจืฉืช ืืืืืช ืขืืืื ืืื ืืืฉืงืื ืืืืื ืื- ืคื ืืืืื ืืืืฆืื ืืื- ืืืืืืช ืืืจืื ืืืืจื ืืชืื ืืืืฃ, ืื ืืื ืคืจืืืงืืื, ืืคืขืืืื ืืจืื ืืืื (ืืืื BT, AT&T, Verizon ืืขืื).
ืฉืขืืช ืคืขืืืืช ืืฆืืืช ืื 8:00-19:00
These jobs might be a goodย fit