Backend Software Engineer

About Nightfall:

Nightfall is the AI-native, unified data loss prevention and insider risk management platform that protects sensitive data across SaaS apps, GenAI tools, email, endpoint devices, and more. Hundreds of customers, spanning AI innovators to top 10 banks, trust Nightfall to detect and stop data exfiltration at scale. Nightfall enables organizations to innovate freely without the risks of losing intellectual property or exposing customer data. Our agentic platform helps security teams regain their time by putting data loss prevention on autopilot. With automatic remediation, security violations can be resolved automatically before they become incidents, and end-users can be automatically trained and coached in the moment to self-heal violations that they introduce.

Nightfall is backed by leading VC firms including Bain Capital Ventures (Enrique Salem - former CEO of Symantec), Venrock (early investors in Cloudflare), WestBridge Capital, Pear VC (early investors in Dropbox and Doordash), and a cadre of cybersecurity leaders including Frederic Kerrest (founder of Okta), Maynard Webb (former COO of eBay), Ryan Carlson (President of Chainguard), Kevin Mandia (founder of Mandiant), and many others.

About the role:

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

• 4+ years of experience