Our Company
Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.
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!
Position : 2025 University Graduate - DevOps & Platform System Engineer
Req ID : R149109
Business Unit : Digital Media
Location : San Jose
The Opportunity
Adobe is seeking dedicated and hard-working Software Engineers to help with the creation, design, and testing of software systems or applications for software improvements and new products used in various computer programs and products.
Imagine being part of a team that is propelling Adobe's world-class engineering to new heights. As a new grad, you will be at the forefront of innovation, developing groundbreaking solutions that will craft the future of digital experiences.
You will be working in an environment that values collaboration and inclusion, encouraging you to unleash your full potential and contribute to Adobe's outstanding legacy.
What You’ll Do
- Develop high-performance, reliable, testable, and maintainable code.
- Participate in all aspects of software development activities, including design, coding, code review, testing, bug fixing, and code / API documentation.
- Collaborate with engineers and participate in daily or weekly stand-ups and meetings.
- Grow with the support of your team and help others on the team grow by providing thoughtful feedback and uplifting those around you.
- Work both independently and collaboratively within a fast-paced development team, with clear, positive, and constructive communication.
- Additional responsibilities as needed based on specific role or team.
- Work at the intersection of engineering and operations of Search & Discovery products at Adobe.
- Engage in large-scale ML training, inference, compute orchestration, search index setup, real-time messaging & data ingestion platforms, NO-SQL databases, web services & orchestration services, and more.
- Set up cloud-based technologies to enable distributed training and inference leveraging the latest GPU architecture and OS capabilities as well as help build Search platforms 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.
- Build Search & Sensei using technologies such as Elastic Search, Kafka, Docker, Kubernetes, Hadoop, HBase, Apache Spark, MongoDB, Caching Solutions, Web services, NO-SQL technologies, Terraform, Jenkins, k8s and more.
- Work closely with other engineering team members to help support product development needs, improve developer efficiency with enhanced processes, automation, and secure policies.
- Develop and construct robust and scalable infrastructure solutions, deploy Security features in the cloud, optimize infrastructure costs, and integrate open-source tools into Adobe Search & Sensei World.
What You Need to Succeed
- Bachelor's or Master’s in Computer Science, Computer Engineering, Electrical Engineer, or equivalent experience required.
- 0-1 + years of experience in specific skill / field(s).
- Proficient in programming languages such as Python, Java, C++, etc. Strong technical background with analytical and problem-solving skills.
- Strong knowledge in Java or JavaScript and at least one other language like Python, C#, Ruby, PHP.
- Familiarity with client-side frameworks and libraries like React, Vue, Angular, jQuery.
- Equivalent experience in MLOps, DevOps or a related field is highly valued, along with excellent problem-solving and debugging skills, in a SaaS environment.
- Customer-focused with a real passion for quality and engineering excellence at scale.
- Excellent communication and collaboration skills.
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