Software Engineer IV, Backend Services

Adobe

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$177,900–$257,550 / yr
Posted
17 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $218k
$154k most similar roles pay here $269k

This role pays more than 69% of similar roles. Most pay $171,450–$225,000 — the shaded band above. At the midpoint, this role pays about $218k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Software Engineer IV, Backend Services

Software Engineer 4, Backend Services joins the Adobe Express team to build and maintain high-performance, scalable platform capabilities for a new creativity platform. This role focuses on developing the content ecosystem by designing, implementing, and ensuring the production readiness of services that power AI-assisted creation, discovery, and publishing experiences. The engineer will manage service coordination including safety, observability, and latency while building evaluation loops to measure quality and cost. Key technical requirements include proficiency in Java/Spring Boot, Kotlin, or JavaScript, along with expertise in data structures, algorithms, and cloud services like AWS. Candidates must have experience with AI-supported development tools and the ability to manage nondeterministic components. The role addresses the challenge of converting generative and multimodal AI features into dependable, production-level experiences for a global audience within the digital media and creative content space.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

See salary data

What you'll do

  • Build and maintain high-performance, scalable backend services for the Express content ecosystem.
  • Implement AI-supported engineering workflows to accelerate software development and production cycles.
  • Convert generative and multimodal AI features into dependable, production-level experiences for a global audience.
  • Design and manage systems for non-deterministic components including evaluation, safety, and fallback behaviors.
  • Develop feedback loops using automated benchmarks, human review, and analytics to measure system quality.
  • Manage infrastructure requirements such as observability, latency, cost optimization, and scalability.
  • Translate complex AI opportunities into testable hypotheses and measurable user outcomes.
  • Mentor other engineers and contribute to team standards for high-quality code and collaboration.

What we're looking for

  • Bachelor’s degree in Computer Science or a related field, or equivalent experience.
  • 5+ years of proven experience building and maintaining high-performance and scalable web services.
  • High fluency in data structures, algorithms, data modeling, and schema design.
  • Profound knowledge of web technologies and cloud services.
  • Excellent coding skills in Java/Spring Boot, Kotlin, or JavaScript.
  • Hands-on experience with AI-supported software development tools and the ability to critically assess generated code and designs.
  • Experience designing reliable systems around nondeterministic components including evaluation, monitoring, and failure recovery.
  • Operational experience running publicly available cloud services using AWS deployment and management services.
  • Familiarity with model gateways, prompt management, RAG, or vector search (preferred).
  • Experience developing evaluation harnesses for AI systems, such as A/B testing and production quality monitoring (preferred).
  • Experience with inference optimization, model routing, caching, and AI cost management (preferred).
  • Experience with creative tools, digital media, or creator-facing products (preferred).

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