MLOps Backend Engineer

San Francisco, California, United States

Nightfall

Nightfall is one trusted DLP platform to discover, classify, and protect sensitive data across SaaS and cloud apps with machine learning.

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Nightfall makes safeguarding sensitive data for every application simple and seamless. Organizations, from startups to global brands, trust Nightfall’s software platform and APIs to discover, classify, and protect sensitive data.

We are looking for an exceptional engineering technical leader to join our growing team at Nightfall. As a senior, hands-on, technical engineer in the Engineering organization, you will drive execution, provide solid technical expertise, raise the engineering bar of the team, and contribute towards shaping the long-term architecture of the platform.

This is a hybrid role based out of our San Francisco office. 

Responsibilities

  • Drive great execution, work with the team to set clear goals, and deliver against them
  • Hands-on, technical design and coding
  • Help shape the long-term architecture of the platform keeping scalability and reliability into account
  • Help to recruit, inspire a high performing and creative engineering team
  • Implement best of practices in a fast-paced engineering environment
  • Champion engineering excellence and culture, establish metrics for regular improvement

Requirements

  • Minimum 5+ years of hands-on technical development experience
  • Minimum 3+ years of experience mentoring and leading engineering teams
  • Experience programming in Python, Go, Java, C++ or related language
  • Experience designing and building low latency and high throughput systems based on highly scalable microservices-based architectures
  • A foundational understanding of multi-threaded programming, concurrency primitives, and data structures using Python, Go or other frameworks
  • Expertise in deploying machine models for inferencing in real-time production environments using a variety of Deep Learning frameworks such as PyTorch, TorchScript or Tensorflow, and the ability to solve complex, cross-language, performance and scalability issues associated with them.
  • BS/MS in Computer Science or a related technical field

Bonus Points

  • Experience working in high growth venture-backed startups
  • Blog, teach, mentor, or help others learn outside of your day to day responsibilities
  • Experience training and deploying NLP based machine models or LLMs is a big plus.
  • Familiarity with AWS and  managed infrastructure
  • Familiarity with Docker, Kubernetes, Kafka, gRPC, Redis, KV-stores

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Architecture AWS Computer Science Deep Learning Docker Engineering Java Kafka Kubernetes LLMs Machine Learning Microservices MLOps NLP Python PyTorch Salesforce Security Splunk TensorFlow

Perks/benefits: Career development Startup environment

Region: North America
Country: United States
Job stats:  16  3  0

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