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Kai Verified
Mobile Operating Systems, Consumer Electronics, Software

Data Engineer

San Jose, California, United StatesOnsiteFull TimePosted 2 months ago

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Role summary

Kai, an AI company focused on rebuilding cybersecurity for the machine-speed era, is seeking a Data Engineer. This role involves building data lakes, extracting data from diverse sources, designing and executing ETL processes, and contributing to data warehousing and analytics. The ideal candidate will have 10+ years of software engineering experience, with at least 7 years specifically in data engineering. Expertise in SQL, NoSQL, GraphDB, big data technologies like Spark and Delta Lake, and cloud platforms (preferably Azure) is required. Proficiency in Python and SQL is essential, with experience in Go, Java, or C++ being a plus. The role also requires skills in developing scalable APIs, containerization with Docker and Kubernetes, and general networking knowledge. The ability to collaborate cross-functionally in a fast-paced environment is key.

**Kai**
is the AI company rebuilding cybersecurity for the machine-speed era. Founded by second time founders and trusted by Fortune 500 enterprises, Kai is building a future where security has no categories, no silos, and no human speed bottlenecks. The Kai Agentic AI Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at machine speed - making human defenders, superhuman.
**Why Join Kai**

  • Well-funded: With $125M raised, we have the capital, runway, and resolve to rebuild cybersecurity from first principles.
  • Proven: We've earned the trust of Fortune 500 and Global 1000 companies, and we're just getting started. Their confidence in Kai reflects what we've built: an AI-powered cybersecurity platform that performs at the scale and speed the enterprise demands.
  • Experienced founders: Our founding team consists of second-time entrepreneurs, each with over 20 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals.
  • World-class leadership team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision.
  • Frontier AI Applied Research Team: Our researchers operate at the leading edge of agentic AI systems, translating breakthrough capabilities into real-world cybersecurity applications.
  • Generous compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.

You Have

  • Data engineering and data modeling
  • Building data lakes and extracting data from diverse sources in multiple formats
  • Designing and executing ETL processes
  • Data warehousing and analytics
  • 10+ years of software engineering experience, including 7+ years as a Data Engineer
  • Proven experience building data lakes and extracting diverse data efficiently for downstream use
  • Strong data engineering and data modeling skills
  • Expertise in ETL, data warehousing, and data analytics
  • Deep expertise in one or more data stores (SQL, NoSQL, with production experience in large GraphDB deployments
  • Hands-on experience with big data technologies such as Spark and DeltaLake
  • Cloud experience (AWS / Azure / GCP), Azure preferred
  • Skilled in developing scalable APIs and containerizing them using Docker and Kubernetes
  • Proficiency in Python and SQL; experience with Go or a similar language (Java, C++)
  • Familiarity with Terraform and Infrastructure as Code (nice to have)
  • General networking knowledge: TCP/IP, HTTP, REST
  • Ability to work cross-functionally, including collaboration with AI teams, in a fast-paced environment with evolving requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Ready to apply?
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