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Staff Python Software Engineer - Remote

Posted 2 weeks ago

Overview

SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle.

We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!

In Short

  • Join the SentinelLabs team as a Staff Python SW Engineer.
  • Develop tools for threat intelligence and automate processes.
  • Collaborate with threat hunters and security researchers.
  • Utilize Python and Golang for tool development.
  • Implement systems for telemetry enrichment and data curation.
  • Work with AWS, Docker, and Kubernetes.
  • Contribute to threat research and enhance capabilities.
  • Flexible working hours in a hybrid model.
  • Generous employee stock plan and yearly bonuses.
  • Work on real-world problems in cybersecurity.

Requirements

  • Strong proficiency in Python and/or Go.
  • Experience in software development for security applications.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Experience with AWS or other cloud providers.

Benefits

  • Flexible working hours and hybrid model.
  • Generous employee stock plan (RSUs).
  • Yearly performance-based bonuses.
  • Flexible Time Off and Paid Sick Days.
  • Global gender-neutral Parental Leave.
  • Volunteering paid day off.
  • Pension insurance contribution.
  • Premium Life Insurance.
  • Private medical care membership.
  • Access to LinkedIn Learning for skill development.

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