Senior Software Engineer (Infrastructure & Distributed Systems)

Salesforce

San Francisco, United States Posted September 23, 2026

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On-site Full-time Senior
Salary Range

$148,500 - $246,000

Job Description

Join our team as a Senior Software Engineer specializing in Infrastructure & Distributed Systems. In this role, you will build new components and frameworks for distributed filesystems, develop high-quality production-ready code, and provide technical guidance to the team. You will have the opportunity to work with cutting-edge technology in a fast-paced and rapidly growing multinational organization.

  • Concevoir et développer de nouveaux composants et frameworks pour des systèmes de fichiers distribués.
  • Produire un code de haute qualité, prêt pour la production, utilisé par des millions d'utilisateurs.
  • Mentorer les ingénieurs juniors et fournir des conseils techniques à l'équipe.
  • Mastery of programming language(s) and platforms 6+ years of software development experience
  • Deep knowledge of object-oriented programming and other scripting languages: Java, Python along with Strong SQL skills and experience with relational and non-relational databases e.g. (Postgress/Trino/). Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP
  • A deeper understanding of software development best practices and demonstrate leadership skills
  • Proven experience designing and developing distributed systems at scale. - Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, along with a deep understanding of relational database and non-relational databases
  • Versatile in using AI in SDLC
  • Experience with Big-Data/ML and S3 Hands-on experience with Streaming technologies like Kafka
  • Experience with Elastic Search Experience with Terraform, Kubernetes, Docker Experience working in a high-paced and rapidly growing multinational organization
Required Skills
software development distributed systems object oriented programming Java Python SQL PostgreSQL Amazon Web Services Azure Google Cloud Platform leadership event-driven architecture machine learning Amazon S3 Kafka Elasticsearch
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