Staff Software Engineer (Java) – Scalable Columnar Database

About Us:

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!

Why us?

The EventDB team of 7 as part of the Security Data Lake productline is responsible for SentinelOne's highly scalable columnar database. Ingesting hundreds of billions of events every day, handling billions of objects and enabling search-ability and insight for our customers into their data. With blazing speed, queries returning in milliseconds, and immediate querying of live and historical data at petabyte scale. Born from our acquisition of Scalyr/DataSet in 2021, EventDB is not just a regular database; it is engineered to efficiently scale to exabytes, serving as a critical component in our security and data infrastructure.

Our team solves non-trivial scale and data problems with a unique blending of cloud, distributed systems, and software optimization techniques and services.

We're seeking a seasoned colleague, able to lead features/epics, inspire others as Staff engineer, and lead them technically. 

What will you do? 

• Software Development (70-80% of time)
  • Lead implementations of new specifications and build implementations of previously built specs; Write tests to cover new code or newly found issues; Bug fixes/Security fixes
  • Implement with consistent coding patterns with a focus on stability and security
• Review Code
  • For quality, test coverage, security etc
• Build and Review Technical Specifications
  • Deeply understand architecture of the EventDB solution and connected features; Architect end-to-end solutions for complex features with loose problem definition
  • Document trade-offs in solutions/implementations; Document critical implementation details/data structures; Review and provide feedback on other specs
  • Provide guidance and meaningful feedback, understanding broader patterns and downstream and upstream dependencies
• Support/On-Call Rotation
  • Respond/troubleshoot to outage incidents; Fix newly found security issues
• Teamwork
  • Help team members solve problems; Provide feedback to team members; Attend weekly team sync and weekly team sync with SRE team; Provide Daily Standup in Slack
• Tools
  • Primarily modern Java; AWS & GCP, Kubernetes, Docker, Kafka, Redis, Ansible, Jenkins, GitHub, and DataSet (we love to dogfood our own product and are very vocal customers of it)

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 (using Java or similar), to solve complex problems.
• You enjoy a collaborative development process using design discussions and code review.
• You’re looking for a challenge that doesn’t just require you to use technologies like Kafka and Cassandra, but require you to rebuild them because they didn’t meet the project requirements.
• You possess solid foundation on horizontal scaling, data algorithms and knowledge of modern databases/data stacks such as DynamoDB, Redis, and/or Druid.
• You have experience with SaaS processing cloud scale data.
• You can identify relevant algorithms in the literature & bring them into production when they fit.
• You can discuss CAP theorem tradeoffs and give examples.
• You enjoy writing modern Java (we love lambdas) and prefer composition to inheritance.
• Garbage collection doesn’t faze you because you know the JVM like the back of your hand. You can rattle off the available garbage collectors and their tuning parameters.

Why us?

You will be joining a cutting-edge company where you will tackle extraordinary challenges and work