Backend Engineer

Nightfall AI•Palo Alto, CA

2d•Hybrid

About The Position

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 massive scale. You’ll help architect low latency, real-time microservices that process & detect sensitive data at scale. This is a hybrid role (3 day office) based out of our South Bay area (Palo Alto) office.

Requirements

Expertise in one or more systems/high-level programming language (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. Postgres, MySQL, Redis, 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, Snowflake, Hadoop, or Zookeeper
3+ years of experience
Prior authorization to work in the US. We are not offering visa sponsorship for students on OPT at this time.

Responsibilities

Building highly-available, secure and scalable APIs and services
Maintaining and evolving mission-critical internal databases and services
Optimizing and operating high volume auto-scaling streaming data and AI/ML services
Instrumenting streaming data and AI/ML services for visibility into utilization per customer
Writing and maintaining documentation about internal and public services
Participating in oncall rotation for ensuring operational excellence

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