Nightfall AI

New Grad Backend Engineer Contract Position

San Francisco, CA US
Microservices Go C++ Kubernetes SQL Rust Python AWS Docker Machine Learning
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Description

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 Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications,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 massive scale and ship exciting new features. You’ll help build low latency, real-time microservices that process & detect sensitive data at scale and build products that are directly used by our customers.

This is a 6 month contract position with a requirement to be in our San Francisco office on Tuesdays and Thursdays. 

Responsibilities:

  • You will work closely with a set of talented engineers, product managers and designers to identify customer needs and build innovative solutions to solve them
  • Quickly ramp up on existing features and be responsible for shipping new features into production
  • Work on the latest technologies to reconstruct the future of ML based data security 

Qualifications:

  • Current/recent BS or MS in Computer Science or Computer Engineering with a Graduation Year between Dec 2023 and June 2024
  • 0-2 years of full time working experience
  • 2+ Internships / Co-ops
  • Passion for delivering quality end-user facing products
  • Experienced with one of the following languages: Go, Rust, Python, C/C++ or any other similar programming language
  • Familiarity with deployment and writing tests
  • Ability to work with a team of engineers, designers, and product managers
  • Excitement for taking on projects that directly impact our enterprise customers
  • Willingness to operate in a fast-paced environment 
  • Prioritizes career growth 

Tools We Use:

  • Go
  • AWS
  • Docker
  • Kubernetes
  • SQL/NoSQL databases

About Nightfall:

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 careers@nightfall.ai.

Nightfall AI
Nightfall AI
Analytics Artificial Intelligence Cloud Data Services Data Center Automation Machine Learning SaaS

1 applies

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