Principal Software Engineer

4 weeks ago

San Jose, United States DauTech Full time

Exclusive Principal Software Engineering Opportunity with a Pre-IPO AI SaaS Cloud Security Company Offering Long-Term Growth Potential.


Onsite Location: San Jose, California (Santana Row)


As a Principal Engineer, you will drive the technical vision and execution of next-generation AI-based products and services. You’ll be instrumental in transitioning research prototypes into scalable, high-performance, and reliable systems, collaborating across organizational boundaries to turn ideas into reality.


About the Role:

  • Design and develop scalable systems that support an AI-driven threat detection platform.
  • Collaborate with product management to align on technical requirements and ensure seamless product integration.
  • Develop and transition research prototypes into reliable, large-scale production systems.
  • Make technical decisions related to data architecture, scalability, and system performance.
  • Collaborate with engineers to foster a culture of continuous improvement.


Your Profile:

  • 8+ years of experience in developing modern applications and distributed systems.
  • Proven experience in designing and implementing large-scale data processing systems.
  • Expertise in Python, JavaScript, or Rust in production environments.
  • Strong understanding of data architecture and systems design.
  • Ability to collaborate across teams and solve technical challenges.


Job Responsibilities:

  • Architect scalable systems that integrate with cybersecurity tools and enhance system performance.
  • Deliver high-impact, complex projects from inception to deployment.
  • Write detailed design documents to solve complex technical challenges.
  • Ensure smooth system delivery with automated tests and modern CI/CD pipelines.
  • Research and evaluate emerging technologies to drive innovation and improvements.


Nice to Have:

  • Proven track record of contributing to technical vision within R&D environments.
  • Experience with Kubernetes and related tooling in production environments.
  • Hands-on experience with data technologies (e.g., data lakes, streaming technologies, schema registries).
  • Familiarity with observability tools like Grafana and Prometheus.
  • Understanding of algorithms, data structures, and parallel computing in high-performance systems.


Are you ready to take on a principal role in a company dedicated to making cybersecurity more intelligent and robust? Join us and help shape the future of AI-driven threat detection systems.

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