Sr Site Reliability Engineer AI Platform Inference
Sr Site Reliability Engineer AI Platform Inference
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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!
The Opportunity
Were looking for an outstanding Site Reliability Engineer for Adobes AI Inference Platform Adobe Firefly. You will be part of a team of Site Reliability Engineers closely working with the Engineering teams onbuilding scaling and securing the AI Platform. This enables the Firefly product teams to easily manage and deploy Machine Learning capabilities used by Adobe client applications.
The Applied Research groups from Adobe Research and other App Teams in Adobe will deploy thousands of models onto this platform in a variety of lifecycle stages (early research development productization optimization etc). This platform will offer ML model serving at scale with highcost efficiency and on a wide variety of hardware platforms across multiple clouds.
What Youll Do
- Identify and implement methodologies and solutions to increase reliability scalability security and efficiency.
- Ensure the highest uptime and Quality of Service (QoS) for Adobes customers through operational excellence.
- Define service level objectives (SLOs) and indicators (SLIs) to represent and measure service quality.
- Support and maintain globally distributed multicloud (public and/or private) environments.
- Automate common repeatable tasks at a large scale to streamline operational procedures.
- Identify areas to improve service resiliency through techniques such as chaos engineering performance/load testing etc.
- Coordinate with other Adobe platform teams and service providers (primarily AWS) to innovate on Generative AI as a Service.
What Youll Need to Succeed
- A Bachelors or Masters degree in Computer Science Electrical Engineering a related field or equivalent industry experience.
- You excel in undefined environments and get excited about finding pragmatic solutions to complex technical or organizational challenges.
- You keep up with the industry trends and grow your knowledge and skills to solve technical problems.
- Experience in building and scaling distributed systems as well as experience with containerization and orchestration technologies like Kubernetes.
- Production level expertise with containerization orchestration engines (e.g. Kubernetes) and proven understanding of modern continuous development techniques and pipelines (IaC CI/CD ArgoCD Git)
- Fundamental programming skills ideally practical experience in one (and preferably more) of the following languages: Python Go
- Good knowledge of infrastructure configuration management tools like Ansible and Terraform.
- Experience in using observability and tracingrelated tools like InfluxDB Prometheus and Elastic Stack.
- An understanding of AI/ML including ML frameworks public cloud and commercial AI/ML solutions familiarity with Pytorch SageMaker HuggingFace NVIDIA TensorRT or OpenAI Triton a plus.
#FireflyGenAI
Our compensation reflects the cost of labor across several U.S. geographic markets and we pay differently based on those defined markets. The U.S. pay range for this positionis $153600 $286600 annually. Paywithin this range varies by work locationand may also depend on jobrelated knowledge skillsand experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and shortterm incentives are in the form of sales commission plans. Nonsales roles starting salaries are expressed as base salary and shortterm incentives are in the form of the Annual Incentive Plan (AIP).
In addition certain roles may be eligible for longterm incentives in the form of a new hire equity award.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.Adobe is proud to be anEqual Employment Opportunityand affirmative action employer. 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 Adobe 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.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each others employees.
Required Experience:
Senior IC
Employment Type
Full-Time
