✦ Luna Orbit — Software Engineering

Staff Software Engineer (Level 5)

at Adobe

📍 San Jose Unknown 💰 $159K – $301K USD / year Posted March 13, 2026
Salary $159K – $301K USD / year
Type Not Specified
Experience senior
Exp. Years 10+ years
Education BS or MS in Computer Science or a related field
Category Software Engineering

This role involves leading the development of high-performance, scalable backend systems for Adobe’s customer journey platforms, focusing on reliability, AI integration, and enterprise-grade solutions.

  • Design and maintain core backend components
  • Lead in architecture and operation of large-scale systems
  • Collaborate with engineering leadership
  • Mentor junior engineers
  • Ensure system reliability and performance

The position requires deep expertise in backend architecture, AI/ML, high throughput systems, and performance tuning within large-scale enterprise environments.

The ideal candidate is a senior software engineer with over 10 years of experience in backend and enterprise software, with strong expertise in AI/ML systems, capable of designing scalable, reliable solutions for Adobe's real-time digital experience platforms.

10+ years of experience buildingtestingand operating complex software systemsExperience with AI/ML systemsBackend development
AI/MLEnterprise softwareReal-time systems
Enterprise software platformsAI/ML frameworks
Backend systemsEnterprise softwareAI/MLReal-time systemsPerformance optimizationReliability engineering
Backend systemsEnterprise softwareAI/MLSoftware architectureHigh throughput systemsPerformance optimizationReliability engineering
LeadershipCollaborationMentorshipCommunicationProblem-solving
Industry SaaS
Job Function Senior backend software engineering for enterprise digital experience platforms
Senior Software EngineerBackend systemsEnterprise softwareAI/MLReal-time systemsPerformanceReliabilitySoftware architectureHigh throughputScalabilitySoftware testingSoftware deploymentAdobe Journey OptimizerAdobe Experience PlatformPerformance optimizationReliability engineering

Less than 10 years of relevant experience, Lack of experience with enterprise or AI/ML systems, Unwillingness to work in a potentially onsite or flexible environment

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