Palo Alto Networksposted 18 days ago
$104,000 - $159,500/Yr
Full-time • Entry Level
Santa Clara, CA

About the position

We are seeking a Software Engineer to design, develop and deliver next-generation cloud security service technologies within our Next Generation Firewall team. We want passionate engineers who love to architect and code world-class security services on Cloud Providers. We are looking for engineers who bring new ideas in all facets of software development. Collaboration and teamwork are at the foundation of our culture and we need engineers who can communicate at a high level and work well with others towards achieving a common goal.

Responsibilities

  • Design, develop and implement highly scalable software features on our next-generation security platform
  • Ownership of end to end workflow for a major component of the service in its first version
  • Leadership opportunity to drive collaboration with internal/external cross-functional efforts to deliver best in quality software
  • Collaboratively work with DevOps and the Technical Support teams to troubleshoot customer issues and build better customer experiences
  • Design and build backend services using Go, Python

Requirements

  • Proficient in one of these programming languages - Python, Java, Golang
  • Familiarity with Linux and Shell
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture (e.g., Scikit-learn, MLlib, Tensorflow, Keras, Kubeflow)
  • Working experience applying supervised and/or unsupervised machine learning algorithms on various types of data
  • Experience with Big data and big data infrastructure (e.g., Hadoop, Spark)
  • Familiar with database systems such as MySql, MongoDB, or similar
  • Strong analytical and problem-solving abilities
  • MS/B.S in Machine Learning, Computer Science, Data Science, or a related field or equivalent military experience required

Nice-to-haves

  • Working knowledge of NLP techniques or document classifications
  • Working knowledge of different machine learning architectures such as transformers and convolutional networks
  • Experience with cloud platforms (GCP, AWS) and container-based development (Docker, Kubernetes)
  • Ability to design, implement, and deploy components; conduct regression and integration test

Benefits

  • FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees
  • Mental and financial health resources
  • Personalized learning opportunities
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service