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Description:
Research, develop, and deliver cutting-edge code for near-real-time large volume data systems
Collaborate with Operations and Development teams to architect and deploy high-impact security solutions
Provide technical leadership, evangelize Dev-Ops culture, and demonstrate best practices
Design, code, and maintain web-scale data systems
Discover, analyze, and validate new data sets to add value for customers
Improve engineering productivity, reduce operational toil, and increase consistency
Mentor junior engineers and assist in onboarding
Work on a developer-centric platform for continuous integration and deployment of security applications
Build and maintain tools to facilitate job tasks
Ensure a safe, secure, and open Internet for all users
Requirements:
Professional development experience using Python, GoLang, or equivalent: 3+ years
Cloud infrastructure experience in AWS, Docker, and Kubernetes: 1+ years
Web-scale data engineering experience using data stores like OpenSearch, Postgres, CockroachDB, MySQL, Hive, Spark: 1+ years
Linux/Unix experience: 3+ years
Positive attitude, high initiative, and history of good productivity