Nightfall AI (www.nightfall.ai) is the unified platform that prevents data leaks and enables secure collaboration by protecting sensitive data and controlling how it's shared. For decades, legacy data leak prevention (DLP) solutions have failed to adequately protect sensitive information. Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications, endpoints, and now generative AI. Nightfall AI is the first AI-native DLP solution. We leverage AI to achieve twice the accuracy with a fraction of the false positives that overwhelm security teams. Nightfall does this without disrupting modern work patterns. Our AI-native platform spans sensitive data protection across SaaS, email, data exfiltration prevention on SaaS, endpoints, and data encryption. Nightfall's Developer Platform provides an open, flexible environment for developers to integrate our data classification and protection capabilities anywhere, including establishing trust boundaries for AI model building and consumption.
As a Backend Engineer at Nightfall, you’ll enable us to deliver our platform reliably, securely, and at a massive scale. You’ll help architect low latency, real-time microservices that process & detect sensitive data at scale.
Responsibilities
- Building highly available and secure authentication and API services.
- Maintaining and evolving mission-critical internal databases and services.
- Optimizing and operating high volume auto-scaling streaming data services.
- Instrumenting streaming data services for visibility into utilization per customer.
- Writing and maintaining documentation about internal and public services.
Requirements
- Expertise in one or more systems/high-level programming languages (e.g. Python, Go, Java, C++) and the eagerness to learn more.
- Experience running scalable (thousands of RPS) and reliable (three 9’s) systems.
- Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring, and reliability.
- Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra)
- Ability to decompose complex business problems and lead a team in solving them
- Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper
- 8+ years of experience
Nightfall is a cybersecurity startup dedicated to helping organizations secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it’s a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for organizations to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and even their own apps. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We’re a technology startup founded in San Francisco, well-funded by leading institutional investors like Bain and Venrock, and a cadre of security & IT leaders from Okta, Salesforce, Atlassian, Splunk, FireEye, and more. Learn more on our website www.nightfall.ai or by reaching out via email at [email protected].
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