Sr DevOps Engineer

Adobe•San Jose, CA

About The Position

Adobe's mission is to change the world through digital experiences. Adobe is maker of best-in-class applications for creative professionals, such as Photoshop, Lightroom, and Illustrator, or perhaps one thinks of PDF, which changed the face of how documents are created, published, and shared. Adobe Products are also used widely by enterprises to power their web sites and create many of the digital experiences that one enjoy every day through multiple devices. Search and Discovery platform enables users to simplify and accelerate their creative journey across the Adobe ecosystem by helping them discover assets and ingredients via search, browse, recommendation and assistive experiences across Adobe ecosystem. Content Processing Platform is machine learning platform, part of Adobe Sensei, that powers Machine Learning and AI across Adobe cloud Product lines by catering inference and training needs of thousands of applied researchers, millions of users and billions of content pieces. It is a platform with the mission to democratize Artificial Intelligence first product from concept to delivery. Become part of this growing team at Adobe SDC Org and building these platforms to make an extra ordinary impact in the areas of computer vision, user understanding, language understanding, and digital experience optimization. We match the pace, innovation, and excitement of a startup, backed by the resources and infrastructure of Adobe! How can you participate? In this bold venture, we seek a Senior Devops Engineer to build, redesign, and manage a large, globally distributed infrastructure using modern Reliability Engineering and DevOps methods.

Requirements

B.S. in Engineering or equivalent experience
3-7 years of meaningful experience in industry
Experience in building, deploying and managing infrastructures in public clouds (AWS, Azure)
Excellent programming (Perl/Python/Ruby/Shell/Go/Java) and automation skills
Exposure to set up large scale databases, performance tuning
Experience in operating and scaling various NO-SQL technologies such as Elastic Search, Kafka, HBase, MongoDB, Apache Spark, etc.
Exposure to of Linux/Unix System Administration experience
Experience with Git, Perforce, and Jenkins, exposure to cloud/virtualization technologies
Good knowledge of Cloud well architected frameworks, cloud build principals

Responsibilities

Work at the intersection of engineering and operations of Search & Sensei products at Adobe.
Work on large scale search index setup, setting up real-time messaging & data ingestion platforms, NO-SQL databases, web services & orchestration services and more.
Work on setting up cloud based technologies to enable Search & Sensei platform at Adobe.
Maintain and optimize search engine, identify new ideas to evolve it, develop new features and benchmark possible solutions, in terms of performance and feasibility.
Develop Search & Sensei employing technologies such as Elastic Search, Kafka, Docker, Kubernetes, Hadoop, HBase, Apache Spark, MongoDB, Caching Solutions, Web services, NO-SQL technologies, Terraform, Jenkins and more.
Work closely with other engineering team members to help support product development needs.
Work on crafting and building highly available and scalable infrastructure solutions.
Roll out security features in the cloud.
Architect and optimize infrastructure costs.
Bring top distributed systems and DevOps methods into Adobe Search & Sensei World.
The goal is that this team provides one click set up from all the development of existing and newer projects.
This role is not looking for candidates that have worked on release engineering only.