Staff Software Engineer - Data Ingest

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.

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.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As Staff Software Engineer on the Data Ingest team you will help us build the entry point of SentinelOne's Data Platform - pipelines that take in petabytes of data and trillions of events every day and make them available for threat hunting and threat intelligence across the Singularity Platform. We're looking for colleagues who have designed and run large distributed systems in production, like staying hands-on, and can carry a feature or epic from idea to rollout. We have a strong engineering-driven ownership culture and are looking for someone who would strive to apply themselves fully. You would define a significant proportion of the roadmap together with the team and contribute meaningfully to our pipelines’ performance, reliability and cost basis.

What will you do?

• Work on scaling, reliability, observability, cost-efficiency of high-volume data pipelines

• Take loosely defined problems and carry them from proposal through technical spec to production, doing the trade-offs internally as well as with external teams - stakeholders

• Plan and execute deprecation projects for older pipeline solutions that still have live customers

• Participate in technical forums with other senior team members to refine the roadmap and find practical approaches to niche problems

• Use state-of-the-art AI tooling to make yourself more efficient at aspects of the job

• Have a rotating oncall duty with other team members to look over a world-class data pipeline

• Your tools: Primarily modern Java, but you may also come across limited amount of Go, Python; Environments: AWS and GCP, including FedRAMP-regulated; Kafka, Flink, Redis, S3, Kubernetes, Docker, Jenkins, GitHub; Claude Code, AI gateway, and other relevant agentic engineering tooling

What skills and knowledge should you bring?

• You’re passionate about building high-scale elegant and simple distributed systems - and during the past several years you’ve successfully designed & implemented them to solve complex