Staff Software Development Engineer

Adobe; San Jose (CA); On-site; USD 208,300 - 301,600; Full time

Job summary

Adobe is seeking a highly motivated Staff Software Engineer to help build their next-generation AI-first marketing platform. You will lead the design, development, and operation of core backend capabilities for marketing applications, focusing on reliability and performance.

To succeed, candidates need a BS/MS in Computer Science or equivalent, and at least 10 years of experience in distributed systems. The position offers a competitive salary range of $208,300 – $301,600 annually based on experience and location.

Qualifications

• 10+ years of experience building and operating large-scale backend or distributed systems.
• Deep understanding of distributed systems, observability, and performance optimization.
• Strong communication and technical leadership skills.

Responsibilities

• Lead the design and operation of core backend capabilities for marketing applications.
• Architect and scale distributed systems with focus on reliability and performance.
• Mentor engineers and influence technical direction across teams.

Skills

Java

Scala

Kubernetes

Docker

Microservices

Cloud-native architectures

Problem-solving

Technical leadership

Education

BS/MS in Computer Science or equivalent practical experience

Tools

CI/CD pipelines

Job description

Job Overview

We are seeking a highly motivated Staff Software Engineer to help build Adobe’s next-generation AI-first marketing platform. This platform is redefining customer engagement workflows through autonomous experiences, enterprise-scale orchestration, and full-stack productivity for modern marketers.

What You’ll Do

• Lead the design, development, and operation of core backend platform capabilities powering AI-first marketing applications.
• Architect and scale distributed, high‑availability systems with strong focus on reliability, observability, and performance.
• Partner with Product, Design, and Engineering leadership to translate business goals into scalable technical solutions.
• Drive engineering excellence across software design, CI/CD, testing, GitOps, and operational best practices.
• Mentor engineers, lead design reviews, and influence technical direction across teams.
• Evaluate and adopt modern technologies and AI‑driven approaches that improve platform capabilities and developer productivity.

What You Need To Succeed

• BS/MS in Computer Science or equivalent practical experience.
• 10+ years of experience building and operating large‑scale backend or distributed systems.
• Strong expertise in Java and/or Scala, microservices, cloud‑native architectures, and high‑availability systems.
• Deep understanding of distributed systems, event‑driven architectures, observability, and performance optimization.
• Experience with Kubernetes, Docker, CI/CD pipelines, and modern infrastructure practices.
• Strong communication, technical leadership, and problem‑solving skills.
• Experience with campaign execution platforms, personalization systems, or Generative AI technologies is a strong plus.

Equal Employment Opportunity

Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.

Expected Pay Range

The U.S. pay range for this position is $159,200 – $301,600 annually. In California, the pay range for this position is $208,300 – $301,600. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience.

State‑Specific Notices

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.