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Salesforce

Senior Software Engineer (Infrastructure & Distributed Systems)

Posted Updated
Discussion
  • Build new and exciting components/frameworks in developing distributed filesystems in an ever-growing and evolving market technology to provide scale and efficiency
  • Develop high-quality, production-ready code that can be used by millions of users of our cloud platform
  • Build efficient components/algorithms on a microservice multi-tenant SaaS cloud distributed filesystem environment, Code review, mentoring junior engineers, and providing technical guidance to the team

Benefits

  • Medical Care
  • Life Insurance
  • Retirement Savings
  • Employee Assistance Programs
  • With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
  • 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
  • End Date: January 25, 2027
  • Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions

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