Senior Software Engineer (Go, Java) - Real-time Detection & Response at SentinelOne
Brno, Jihovýchod, Czech -
Full Time


Start Date

Immediate

Expiry Date

21 Aug, 25

Salary

0.0

Posted On

21 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Kafka, Python, Communication Skills, Java, Docker, Data Products, Kubernetes, Aws, Redis

Industry

Information Technology/IT

Description

ABOUT US

At SentinelOne, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats.
From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We’re looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you’re excited about solving complex challenges in bold, innovative ways, we’d love to connect with you.

WHAT ARE WE LOOKING FOR & ABOUT OUR TEAM

At S1 we’re building towards autonomous AI SIEM - helping SOC analysts achieve cybersecurity outcomes with greater accuracy and speed. To build it as an engineering organization, we solve non-trivial scale and data problems with a unique blending of cloud, distributed systems, and SW optimization techniques and services. Our mission is to enhance customer safety by advancing the detection & investigation capabilities and automation across all their security data, brought in one place (coming from both S1’s security products and normalized from third-party data sources - and actionable in one SecOps platform, with one data architecture and one UI). We strive to provide robust, efficient, and scalable solutions that elevate the overall security posture of our clients.
Join us and help advance the state of the art of cybersecurity!
We are looking for a Senior SW Engineer to join our team that is behind one of our leading and differentiated AI SIEM product capabilities, STAR™ - Storyline Active Response, highly appreciated by customers (as well as praised in cyber reddits :) ) - responsible for real-time cloud-based automated hunting, detection, & response. It empowers security teams of our customers to create custom detection & response rules, and deploy them in real-time to the entire network or desired subset, to proactively detect & respond to threats.

Responsibilities

As part of the team that we’re extending, you’ll work on systems processing vast amounts of data. You’ll take part in the architecture, design and implementation of a multi-disciplinary cloud-native software platform that daily processes billions of events and several petabytes of data, and serves tens of thousands of users (cyber specialists at enterprise & government customers across the globe, incl. at 4 or Fortune10 or hundreds of Global 2000).

  • Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications, built to handle several millions of events per second.
  • Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture.
  • Participate and collaborate with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.
  • Maintain application stability and data integrity by monitoring key metrics and improving codebase accordingly.
  • Understand & maintain existing codebase by regular re-factoring and applying requested fixes and features.
  • Learn new technologies that can solve our huge volume of data and the challenges it poses.

Your Toolkit: Golang, Java, Python, Kafka, AWS, GCP, Kubernetes, Docker, Github, ArgoCD

  • Our new components are primarily developed in Go, we also use Java and Python in our current backend environment.
  • Communication between microservices is facilitated using gRPC, REST, GraphQL APIs, and Kafka, depending on specific requirements.
  • We use PostgreSQL and have our columnar time-series database for efficient event storage and retrieval at scale.
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