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Full Stack Engineer - Senior/Lead - Office of the CEO

Salesforce•Atlanta, GA
•$172,500 - $285,800

About The Position

The Senior/Lead Software Engineer role is part of Salesforce’s Office of the CEO, within the AI Trust and Governance engineering team. The team works to ensure Salesforce’s AI is powerful and trustworthy. The engineer provides hands-on technical leadership in architecture, platform innovation, and large-scale distributed systems, partnering with engineering, product, architecture, and platform teams to build scalable, cloud-native services. The role sets technical direction, mentors engineers, addresses complex technical challenges, and raises the team’s engineering standards. It focuses on Core and near-Core systems, systems programming, and highly concurrent, scalable, resilient systems. The engineer adapts to changing requirements and priorities while working with Salesforce Core and partner teams such as Data Cloud and AI Platform, and leads the design and development of AI system functionality. They own features end-to-end, shape architecture decisions, develop functional and system-level tests, investigate defects through debugging and root cause analysis, and participate in release and deployment. They also mentor MTS/AMTS engineers and contribute through code and design reviews. Salesforce describes itself as an AI CRM company and emphasizes the use of AI-driven tools and workflows to improve developer productivity, system capabilities, and product value. The position requires a BS or higher degree in Computer Science, at least four years of industry experience in system or database internals programming, at least four years of technical leadership in enterprise server platform or systems architecture and design, deep distributed systems and consensus algorithm expertise, experience with highly concurrent multithreaded or multiprocess data structures and design, and strong Java or C programming skills. The listed base salary is $172,500–$260,100 annually, with a range of $207,800–$285,800 in select San Francisco and New York City metropolitan areas; these ranges exclude bonus, sales incentives, equity, and benefits.

Requirements

  • BS or higher degree in Computer Science.
  • At least 4 years of industry experience in system or database internals programming.
  • At least 4 years of technical leadership in architecture and design of enterprise server platforms or systems.
  • Deep expertise in distributed systems and consensus algorithms.
  • Experience with highly concurrent, multithreaded or multiprocess data structures and design.
  • Strong Java or C programming skills.
  • Strong problem-solving skills, an innovator’s mindset, and a results-oriented attitude.
  • Ability to learn quickly and deliver high-quality code in a fast-paced, dynamic agile team environment.
  • Strong orientation toward using AI-driven tools, automation, and intelligent workflows to improve developer productivity, system capabilities, and product value.
  • Ability to adapt quickly to shifting requirements, priorities, and strategies.

Nice To Haves

  • Strong oral and written communication skills, with demonstrated cross-team collaboration experience.
  • Ability to manage multiple projects, meet deadlines, and adapt to shifting priorities.
  • Team-first attitude and willingness to share credit for team successes.
  • Ability to translate strategic goals into concrete technical plans and architecture.
  • Experience with the Salesforce platform, including Apex, LWC, or Data Cloud, or ability to learn it quickly.
  • Hands-on experience with Salesforce Agentforce or Agent Builder.
  • Ability to critically evaluate human- or AI-generated code for correctness, quality, security, and performance through rigorous review.

Responsibilities

  • Set technical direction and provide hands-on leadership across architecture, platform innovation, and large-scale distributed systems.
  • Design and build scalable, cloud-native services supporting the AI Trust and Governance mission.
  • Adapt to changing requirements, priorities, and strategies while partnering with Salesforce Core, Data Cloud, and AI Platform teams.
  • Lead the design and development of AI system functionality.
  • Design new architecture to solve complex scalability problems.
  • Own features end-to-end and drive design and architecture decisions.
  • Build comprehensive functional and system-level tests for the area of ownership.
  • Debug issues and perform root cause analysis to diagnose defects.
  • Take an active role in release and deployment processes.
  • Mentor MTS/AMTS engineers and elevate team quality through code and design reviews.
  • Collaborate with engineering, product, architecture, and platform partners to drive solutions and improvements.

Benefits

  • Time off programs
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life insurance
  • Disability insurance
  • 401(k)
  • Employee stock purchasing program

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