Senior Software Engineer, Internal Developer Platform

Quick Facts

• Role: Senior Software Engineer, Internal Developer Platform
• Focus: Internal tools and automation supporting secure development workflows (feature flags and experimentation)

Description

You will take on important internal problems that are poorly defined and create a path to solving them. The role involves building tools and automating processes across Salesforce’s internal ecosystem, working with feature flags and experimentation, and improving development and business workflows. You’ll partner with the people experiencing the problem to decide what to build and drive cross-team decisions to ship securely.

Responsibilities

• Identify internal problems and turn them into well-scoped proposals backed by evidence of value
• Run product discovery by speaking with users, testing assumptions, selecting an initial scope, and defining how success will be measured
• Drive stakeholder decisions and cross-team commitments when ownership or priorities are unclear
• Build security into what you deliver; evaluate designs against enterprise security expectations with security/privacy reviewers
• Deliver software using AI-assisted engineering and verify behavior through tests and repeatable evidence
• Ship pilots and improvements and follow through on adoption and iteration
• Improve team effectiveness via code reviews, clear decisions, and practical changes to how the team works

Requirements

• 8+ years of professional software engineering experience owning production software from design through delivery and ongoing operation
• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• Ability to operate autonomously through ambiguity and drive outcomes with unclear requirements
• Experience leading cross-team work without formal management authority
• Product and engineering judgment: investigate user workflows, validate assumptions, choose scope, and measure impact
• Security fluency as a builder: partner with security teams, evaluate tradeoffs, and apply threat modeling, authorization design, and secrets management
• Discerning use of AI: direct AI-assisted implementation, correct outputs, and verify behavior with tests and other repeatable evidence
• Strong engineering craft: automated testing, delivery practices, and defining measurable success
• Clear communication in writing and verbally for technical and non-technical partners
• Experience improving others’ effectiveness through reviews, mentoring, or clear technical decisions

Benefits

• Benefits and resources to support work-life balance
• AI agents to accelerate impact
• Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program