Data Engineer

We’re an early-stage startup founded by serial entrepreneurs with multiple successful exits. Backed by leading investors with a strong track record in cybersecurity and deep tech, we’re building a cutting-edge platform at the intersection of LLM agents, advanced analytics, and security.

We're looking for a Software Engineer to join our Data Platform team and help us design, build, and scale the foundation of our data infrastructure. This platform will process massive amounts of event-driven data daily and power our real-time ML and cybersecurity models.

What You'll Do:

• Architect & Build scalable data systems including data lakes, pipelines, and warehouses
• Integrate & Ingest complex datasets from multiple sources while ensuring quality and consistency
• Orchestrate Workflows using tools like Airflow or Dagster
• Optimize Databases for high performance using techniques like indexing, partitioning, and aggregation
• Ensure Scale & Performance of real-time and batch systems under heavy loads
• Enable ML & LLMs by supporting training, inference, and RAG pipelines across the platform
• Collaborate Across Disciplines with ML engineers, security researchers, and backend teams
• Stay Ahead by experimenting with the latest in cloud data infrastructure and security
  

What You'll Bring:

• Proven experience architecting and scaling large-scale data systems
• Strong backend engineering skills in data-intensive environments
• Expertise in streaming technologies (Kafka, Spark Streaming, Flink)
• Hands-on experience with data modeling and building real-time & batch pipelines
• Solid understanding of modern databases: SQL, NoSQL, GraphDBs, NewSQL
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Experience with CI/CD, testing, and code quality best practices
• Bonus: Kubernetes, Terraform, Airflow, Dagster, and production ML workflows