Computer Scientist - I (SRE)
Computer Scientist - I (SRE)
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Job Description
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were 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 Overview
We are looking for a Site Reliability Engineer with a strong developer mindset and 45 years of experience to help us build and operate scalable reliable systems. This is not a just keep the lights on SRE roleyoull be writing production-grade code building tools automating platforms and contributing directly to both infrastructure and developer productivity.
The ideal candidate brings together SRE discipline deep networking knowledge Kubernetes expertise and solid software engineering skills with an understanding of GPU-based workloads and AI/ML inference/training pipelines.
About the Platform
Youll be working on a cutting-edge platform designed to train and serve large-scale machine learning models. The platform supports everything from small-scale experimentation to massive distributed training jobs running on GPU clusters. It provides developers and ML engineers with the tools to quickly onboard monitor and scale their workloadswhether its a lightweight prototype or a production-grade deep learning model powering real-world applications.
Key platform features include:
- Dynamic GPU orchestration using Kubernetes
- Built-in support for training and inference workflows
- End-to-end observability and cost tracking
- High developer velocity via self-service tooling
Your contributions will directly impact the reliability scalability and efficiency of this platform and enable AI teams to innovate faster.
What Youll Do
- Build tools APIs and platforms to improve reliability deployment and performance.
- Architect and scale Kubernetes-based infrastructure for high-performance workloads (including GPU).
- Write clean efficient and maintainable code in Python Go or similar languages.
- Own and evolve CI/CD pipelines infrastructure-as-code systems (Terraform Helm) and service observability.
- Troubleshoot and resolve complex system network and application-level issues.
- Participate in blameless incident response root cause analysis and reliability reviews.
What You Bring
Core Requirements:
- 45 years of experience in SRE DevOps or platform engineering roles.
- Strong development background with fluency in Python Go or similar languages.
- Solid understanding of Kubernetes internals workload orchestration and Helm.
- Deep knowledge of networking fundamentals: DNS TCP/IP routing VPNs firewalls.
- Experience with infrastructure automation and configuration management.
- Understanding of GPU scheduling resource allocation and NVIDIA ecosystem tools.
- Familiarity with service mesh observability stacks (Prometheus Grafana OpenTelemetry) and cloud-native patterns.
Bonus Points:
- Experience supporting AI/ML pipelines especially GPU-based training/inference.
- Contributions to open-source projects or internal developer platforms.
Why This Role
- Youll write software not just YAML.
- Youll get to work on real AI infrastructure challenges (not just buzzwords).
- Youll have impact across developer productivity platform scalability and service reliability.
- Youll join a team that values code quality systems thinking and ownership.
Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender race or color ethnicity or national origin age disability religion sexual orientation gender identity or expression veteran status or any other applicable characteristics protected by law.Learn more.
Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process emailor call .
Employment Type
Full-Time
