Benefits
- Equity
- Bonus
- Commission
Full job description
The Opportunity
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.
In this backend-focused role, you will play a key part in designing and delivering the foundational systems powering Agentic applications at scale. You will work across distributed systems, cloud-native infrastructure, and real-time execution frameworks to enable highly performant, resilient, and intelligent customer engagement solutions.
You will collaborate closely with engineering leadership, product management, and cross-functional teams to shape technical strategy, influence architecture decisions, and drive engineering excellence across the organization.
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.
- Tech-Agnostic role with strong expertise in Java/Scala/Go/Python etc., 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.
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