O pozici
Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
Co budeš dělat
- Design, build, and maintain scalable data pipelines that process petabytes of security data (we ingest 5-10 petabytes daily) for research purposes.
- Develop production-grade pipelines, applying software engineering best practices.
- Operate big data infrastructure and cloud data warehouses with a focus on reliability and performance.
- Partner with data scientists and security researchers to deliver impactful data solutions.
- Ensure data quality, observability, and governance across the platform.
Koho hledáme
- 4+ years of experience in data engineering, data architecture, and distributed systems
- Proficiency in programming languages such as Python (that we use), Java, Scala, or similar.
- Experience with cloud-based technologies such as AWS (our primary), GCP or Azure.
- Experience with deploying big data technologies such as Apache Spark, Hadoop, Hive, IceBerg, Trino.
- Familiarity with data warehousing concepts and technologies.
- Experience with data visualization tools such as Tableau, PowerBI, Grafana or similar.
- Strong problem-solving skills, with the ability to develop innovative solutions to complex problems.
- Excellent communication skills, with the ability to clearly present and explain complex data and models to technical and non-technical stakeholders.
- BS or higher degree in Computer Science, Statistics, Mathematics, or related field. Additional or directly relevant experience will be considered in lieu of a degree.
- Experience in leading cross-functional projects between R&D and product teams.
Benefity
- Restricted Stock Units (RSUs)
- Employee Stock Purchase Plan (ESPP)
- Competitive leave benefits
- Gender-neutral parental leave
- Medical and insurance benefits
- Pension
- Global home office allowance
- Wellbeing allowance
- MultiSport benefit program
