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Salesforce

Senior Software Engineer

Salesforce

. Build and ship high-quality, production-grade software with AI as a core part of the development workflow .

Posted 9/16/2026full-timePalo Alto • California • United StatesSenior💰 $117,200 - $313,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building production-grade software with a focus on AI integration, including designing resilient backend services and implementing observability frameworks. Proficient in developing and testing systems that leverage AI tools and RESTful APIs while ensuring code quality and performance.

Highest-signal resume keywords
Java DevelopmentAI-First EngineeringRESTful API DesignAWS ServicesCI/CD Pipeline Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaAI ToolsRESTful APIsAWSBazelMavenJenkinsDockerTypeScriptPython
Tools & Technologies
Claude CodeGitHub CopilotCodexCursorMonorepo
Industry Keywords
Observability FrameworksUnit TestingContinuous IntegrationLong-Running AI JobsQuality Tooling

Tech Stack

Tools & technologies
AWSDockerDynamoDBJavaJenkinsMavenNode.jsPythonTypeScript

About the role

Key responsibilities & impact
  • Build and ship high-quality, production-grade software with AI as a core part of the development workflow
  • Design and orchestrate complex systems where AI agents integrate into human workflows
  • Architect and maintain resilient backend services integrating LLMs via external APIs
  • Implement observability frameworks using logs, metrics, and traces for long-running AI jobs
  • Evaluate human- and AI-generated code for correctness, quality, security, and performance
  • Develop test automation and quality tooling
  • Generate unit and CI tests, analyze test failures, and improve flake awareness
  • Work in person three days per week, or 10 days per quarter for some engineering teams

Requirements

What you’ll need
  • 4+ years of professional Java development experience
  • Demonstrated, genuine AI-first approach to engineering
  • Experience using AI tools such as Claude Code, GitHub Copilot, Codex, or Cursor in active development workflows
  • Ability to design, iterate on, and test system and user prompts producing structured, parseable LLM outputs
  • Experience designing and consuming RESTful APIs
  • Working knowledge of AWS, including S3, STS, KMS, Lambda, and DynamoDB
  • Experience with Bazel or Maven
  • Strong willingness to work in a monorepo
  • Experience with Jenkins or equivalent CI/CD pipelines
  • Experience creating Docker images and operating containers
  • Experience with TypeScript (Node) and/or Python service development is a strong plus

Benefits

Comp & perks
  • 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
  • Incentive compensation may be available for certain roles
  • Equity may be available for certain roles
  • AI agents to accelerate impact
  • Flexible office arrangement: in-person three days per week, or 10 days per quarter for some engineering teams