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Hunters SOC Platform empowers security teams to automatically identify and respond to security incidents across their entire attack surface. We enable vendor-agnostic data ingestion and normalization at a predictable cost. Our built-in detection engineering, data correlation, and automatic investigation helps teams overcome volume, complexity, and false positives. Hunters mitigates real threats faster and more reliably than SIEMs, ultimately reducing customers' overall security risk .
Enterprises like Booking.com, Snowflake and Cimpress leverage Hunters SOC Platform to empower their security teams .Hunters is backed by leading VCs and strategic investors including Stripes, YL Ventures, DTCP, Cisco Investments, Bessemer Venture Partners, U.S. Venture Partners (USVP), Microsoft’s venture fund M12, Blumberg Capital, Snowflake, Databricks, and Okta.
We are looking for a Software Engineering (Full-Stack) Team Leader, to be part of one of the core teams at Hunters and help solve the toughest issues in cybersecurity: help SOC analysts quickly investigate security incidents using petabytes of data.
RESPONSIBILITIES
- Develop a complex expert system for managing, analyzing, and investigating security alerts using React & NodeJS. Build advanced, unique user flows and UI components that can handle all possible types of Cyber security scenarios and attack stories.
- Work side by side with top-notch security researchers, understand how to enable cyber security incidents investigations using petabytes of data
- Come up with beautiful and creative ways to visualize cybersecurity data
REQUIREMENTS
- Minimum 2 years of experience leading a fullstack team.
- Background in cybersecurity
- Proven experience with React
- Backend experience using a modern server-side framework (Express, Django, Flask, etc.)
- Solid understanding of production environments in AWS, K8s
- Experience with database architecture, designing and efficiently querying SQL & NoSQL databases
- Highly motivated, goal driven and possess a can-do approach
Advantages:
- Experience with Kafka or a pipeline pub-sub architecture
- Experience with Python
- Experience with graph databases
- Experience supporting and working with cross-functional teams.
