Staff Software Engineer, Java, Data Ingest

SentinelOne

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Prague, Czech RepublicBrno, Czech Republic
Posted
36 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $215k
$164k most similar roles pay here $275k

This listing doesn't post a salary. Most similar roles pay $187,713–$242,312.

Based on 240 similar postings.

Employer

About SentinelOne

SentinelOne is a cybersecurity company that provides an AI-powered extended detection and response (XDR) platform. Its Singularity platform delivers autonomous endpoint, cloud, and identity protection for enterprises.

SentinelOne currently has 45 open roles on FindRole.

Listed pay typically runs $156,000–$215,000 across 31 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer, Java, Data Ingest

As a Staff Software Engineer on the Data Ingest team, you will build and maintain the entry point of the SentinelOne Data Platform. You will develop high-volume data pipelines that process petabytes of data and trillions of events daily to enable threat hunting and intelligence across the Singularity Platform. Your day-to-day responsibilities include managing pipeline scaling, reliability, observability, and cost-efficiency while leading projects from initial proposal through technical specification to production rollout. You will also manage deprecation projects for legacy solutions and participate in technical forums to refine the roadmap. The role requires expertise in modern Java, with exposure to Go and Python. You will work within AWS and GCP environments using Kafka, Flink, Redis, S3, Kubernetes, Docker, Jenkins, and GitHub, while utilizing AI-driven engineering tools like Claude Code.

What does a Software Engineer earn?

Median $197400 from 2173 postings across 142 companies.

See salary data

What you'll do

  • Build and scale high-volume data pipelines to process petabytes of data and trillions of events daily.
  • Improve the performance, reliability, and cost-efficiency of large-scale distributed systems.
  • Lead projects from initial proposal through technical specification to production deployment.
  • Execute deprecation projects for legacy pipeline solutions while maintaining service for existing customers.
  • Participate in technical forums to refine the product roadmap and solve complex engineering problems.
  • Utilize state-of-the-art AI tools to increase personal productivity and engineering efficiency.
  • Perform on-call rotations to monitor and maintain world-class data pipelines.

What we're looking for

  • Experience designing and running large distributed systems in production.
  • Proficiency in modern Java is required.
  • Ability to work with Go and Python as needed.
  • Hands-on experience with Kafka or similar technologies on large-scale solutions.
  • Solid foundation in building ingestion pipelines and solving high-volume streaming challenges.
  • Experience working within AWS and GCP environments, including FedRAMP-regulated environments.
  • Familiarity with tools such as Flink, Redis, S3, Kubernetes, Docker, and Jenkins.
  • Ability to use state-of-the-art AI tooling for engineering tasks (preferred).

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