Adobe is seeking an experienced DevOps Engineer to join their DI Adobe Research Team. This role focuses on building and maintaining operational efficiency for highly scalable, reliable, and performant services that support Adobe's innovative creative products.
The position involves designing and implementing robust configuration management systems, managing multiple environments (dev/test/prod), and enhancing cloud services with a focus on machine learning integration. The engineer will be responsible for developing monitoring solutions, improving service reliability and scalability, and leading operational readiness from architecture to post-launch support.
Key responsibilities include automating infrastructure provisioning using tools like Gitlab, Jenkins, Terraform, and Helm, as well as collaborating with ML platform teams to optimize CI/CD pipelines. The ideal candidate should have strong experience with cloud infrastructure technologies and a passion for building scalable systems.
The role requires deep expertise in containerization (Docker, Kubernetes) and monitoring tools (Splunk, New Relic, Prometheus, Grafana). The successful candidate will need strong troubleshooting abilities and a solid understanding of systems engineering principles including scalability, performance tuning, and high availability.
Adobe offers a competitive compensation package ranging from $133,900 to $242,000 annually, varying by location and experience. The company provides a collaborative environment where you can contribute to some of Adobe's most successful and innovative creative products while working with cutting-edge technologies in cloud and ML infrastructure.