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Description supplied by the original job listing.
As a Developer for Arctic Wolf's Data Platform, you'll work on the team that focuses on building the systems that allow for the storage and rapid searching of data focused on cybersecurity. This telemetry data is collected from customers by leveraging endpoint, network, and cloud data sources both inside and outside ur customers' networks. Our team designs, builds, and manages large-scale systems that allow both our customers as well as our own employees to leverage these various sets of data to better understand and improve security posture.
You'll work within the exciting intersection of big data, distributed computing, cloud technologies, and infrastructure as code. Our existing stacks include both custom-built and open-source components written in Python, Go, or Java, deployed within Amazon Web Services. We leverage both Kubernetes and other containerized platforms. Some major components we use include Kafka, Elasticsearch, Databricks, and Spark, along with various other components and additional custom application services developed in-house.
Responsibilities:
Implementation and design of new data storage and search solutions, taking customer requirements into account.
Maintenance of our existing Python, Go, and Java-based systems.
Deployment and configuration of open source components.
Improve our capabilities to operate and scale reliably as we grow.
Requirements:
You are a talented Developer who is a match for this description:
Experience with working on backend systems.
Excited about working in the big data space.
Relevant experience with Python, Go, or other object-oriented languages.
Experience working with RESTful API interfaces.
Experience with message queue systems such as Amazon SQS, Kafka, or others.
Exposure to working with either SQL or the Elasticsearch DSL query languages.
Experience working within containerization platforms or tools such as Kubernetes, Amazon EKS, Amazon ECS, or Docker.
Experience with columnar and/or time-series databases (e. g., Databricks, Elasticsearch, ClickHouse, etc).
Ability to work cohesively within a team and habitually spread knowledge in various forms (verbally, documentation).
Ability, comfort, and interest in picking up new technologies and frameworks that you may not be familiar with.
Experience
12-16 yrs
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