Sr. Software Development Engineer 5.5

Adobe•San Jose, CA

2d•Onsite

About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! ROLE IS REQUIRED TO BE IN THE SAN JOSE OFFICE.

Requirements

10+ years of experience in software engineering and architecture within large-scale enterprise environments.
API design and integration patterns
Kubernetes/Ethos Flex (or similar container orchestration platforms)
Kafka and distributed messaging systems
Caching technologies (Redis/ElastiCache)
Monitoring and observability frameworks (e.g., Prometheus, Grafana, ELK, Datadog)
Data migration methodologies for large datasets
Strong background in backend development with emphasis on performance, scalability, resiliency, and tech-debt management.
Deep understanding of operational readiness, incident management, and SRE practices.

Nice To Haves

Experience in enterprise cloud platforms (AWS).
Proficiency in CI/CD pipelines and DevSecOps protocols.
Ability to communicate complex technical concepts to senior leadership and business collaborators.
Showcased leadership in multi-functional, global, and fast-paced enterprise settings.

Responsibilities

Define and implement API integration patterns across enterprise platforms.
Architect solutions by bringing to bear Kubernetes/Ethos Flex for container orchestration, workload management, and scalability.
Design and govern event-driven architectures using Kafka for data streaming and messaging.
Establish standards for monitoring, observability, and operational readiness to ensure production reliability.
Provide architectural mentorship on backend development, focusing on scalability, resiliency, performance, and tech-debt reduction.
Drive data migration strategies and ensure minimal disruption to business operations.
Lead adoption of caching and in-memory solutions (e.g., Redis, ElastiCache) for performance optimization.
Partner with engineering teams to ensure solutions are operationally ready and meet enterprise reliability standards.
Develop frameworks and reusable assets that accelerate delivery across multiple domains.
Mentor senior engineers and influence technical direction across multi-functional teams.