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Staff Developer
Arctic Wolf
Bengaluru, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered Today
PythonGoJavaAmazon Web ServicesKubernetesKafka
Free
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PythonGoJava
Role Overview
As a Staff Developer for Arctic Wolf’s Data Platform, you will work on shaping and evolving the systems that enable large-scale storage and rapid searching of cybersecurity data. This telemetry data is collected from customers by leveraging endpoint, network, and cloud data sources both inside and outside our customers’ networks. Our team designs, builds, and manages large-scale distributed systems that empower both customers and internal teams to better understand and improve security posture.
You will operate at the intersection of big data, distributed computing, and cloud technologies. Our existing stacks include both custom-built and open source components written in Python, Go, or Java, deployed within Amazon Web Services. We leverage Kubernetes and other containerized platforms. Major components include Kafka, Elasticsearch, Databricks, and Spark, along with additional custom application services developed in-house.
In this role, you will provide technical leadership across initiatives, influence architectural direction, and ensure our platform scales reliably and sustainably as the business grows. You will be expected to navigate ambiguity, take end-to-end ownership of solutions, proactively identify gaps and risks, and drive outcomes across multiple teams with a high degree of independence.
Key Skills for This Role
PythonGoJavaAmazon Web ServicesKubernetesKafka
Full Job Posting
Position Overview and Objective
As a Staff Developer for Arctic Wolf’s Data Platform, you will work on shaping and evolving the systems that enable large-scale storage and rapid searching of cybersecurity data. This telemetry data is collected from customers by leveraging endpoint, network, and cloud data sources both inside and outside our customers’ networks. Our team designs, builds, and manages large-scale distributed systems that empower both customers and internal teams to better understand and improve security posture.
You will operate at the intersection of big data, distributed computing, and cloud technologies. Our existing stacks include both custom-built and open source components written in Python, Go, or Java, deployed within Amazon Web Services. We leverage Kubernetes and other containerized platforms. Major components include Kafka, Elasticsearch, Databricks, and Spark, along with additional custom application services developed in-house.
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