Lead Full-Stack Engineer, AI Trust & Governance

Salesforce, Inc.

San Francisco (CA)

Sur place

USD 173 000 - 260 000

Plein temps

Il y a 3 jours
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Résumé du poste

Salesforce, Inc. is seeking a Senior/Lead Software Engineer to drive hands-on technical leadership across architecture, platform innovation, and large-scale distributed systems within the AI Trust and Governance team.

You will design scalable, cloud-native services and collaborate across engineering, product, and platform partners to empower secure, trustworthy AI initiatives. The role emphasizes setting technical direction, mentoring engineers, and delivering end-to-end features with a strong

Qualifications

  • BS or higher degree in Computer Science.
  • 4+ years industry experience in system or database internals programming.
  • 4+ years technical leadership in architecture and design of enterprise server platform or systems.
  • Deep expertise with distributed systems and consensus algorithms.
  • Experience with highly concurrent multi-threaded/multi-process data structures and design.
  • Strong Java or C programming skills.

Responsabilités

  • Provide hands-on technical leadership across architecture, platform innovation, and large-scale distributed systems.
  • Design and build scalable, cloud-native services powering Salesforce's AI Trust and Governance.
  • Mentor engineers and set the technical direction.
  • Collaborate with product, architecture, and platform teams to deliver high-quality code.
  • Lead end-to-end features including release and deployment processes.
  • Review and ensure code quality and performance.

Connaissances

Distributed systems
Systems programming
Concurrency
Technical leadership
Java/C
Consensus algorithms

Formation

BS or higher in Computer Science

Description du poste

Salesforce, Inc. is seeking a Senior/Lead Software Engineer to drive hands-on technical leadership across architecture, platform innovation, and large-scale distributed systems within the AI Trust and Governance team.

You will design scalable, cloud-native services and collaborate across engineering, product, and platform partners to empower secure, trustworthy AI initiatives. The role emphasizes setting technical direction, mentoring engineers, and delivering end-to-end features with a strong

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