Senior/Lead Software Engineer

Global leader in CRM software providing cloud-based solutions for sales, service, marketing, and more.
$165,600 - $265,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS
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Description For Senior/Lead Software Engineer

Salesforce is seeking a Senior/Lead Software Engineer to join their team in building a cutting-edge platform for Predictive AI and Generative AI that scales to billions of predictions. This role offers an opportunity to work with advanced ML technologies and distributed systems at one of the world's leading enterprise software companies. The position requires expertise in big data, machine learning, and cloud technologies, with a focus on building resilient, scalable solutions. You'll collaborate with cross-functional teams, work with cutting-edge technologies like Sagemaker and Tensorflow, and have a direct impact on developing AI solutions that serve Salesforce's vast customer base. The role offers competitive compensation and benefits, along with the opportunity to work on challenging technical problems at scale. Ideal candidates should have strong experience in distributed systems, machine learning technologies, and cloud platforms, with a passion for building robust, production-grade AI systems.

Last updated 21 days ago

Responsibilities For Senior/Lead Software Engineer

  • Work with Sagemaker, Tensorflow, Pytorch, Triton, Spark for ML technologies on containerized deployment stack
  • Build Big Data services on AWS, GCP or other public cloud platforms
  • Partner with Product Managers, Architects and Data Scientists to translate requirements to working software
  • Design, develop, debug, and operate resilient distributed systems
  • Participate in on-call rotation to address complex problems and maintain service availability

Requirements For Senior/Lead Software Engineer

Java
Python
PostgreSQL
  • 5+ years of hands-on experience with big data, machine learning, and microservices architectures
  • Experience in Java, Scala and Python
  • Exposure to AWS Cloud computing, distributed computing technologies like spark, PostgresSQL database

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