What You'll Do- Design and implement AI-powered observability that uses telemetry, metrics, logs, and distributed traces to accelerate issue detection, root cause analysis, and operational decision making.
- Evaluate and integrate modern AI and observability technologies to continuously improve platform visibility, reliability, and developer experience.
- Support the development and testing of Observability libraries and tools for the platform of apps and services.
- Build tools and dashboards to help improve the transparency, debuggability and reliability of the infrastructure.
- Standardize patterns, tools, and dashboard setups.
- Communicate and document observability standards and guidance.
- Assist in integrating Observability into the automation infrastructure at different stages of continuous delivery.
- Contribute to the overall Adobe monitoring platform.
Ingredients for Success- Experience integrating AI capabilities with observability platforms, telemetry pipelines, or incident management workflows is a strong plus.
- Experience working with LLMs and AI services to build developer productivity, automation, or operational tooling.
- Familiarity with AI-powered software engineering workflows, including intelligent automation, agentic systems, or AI-assisted diagnostics.
- 5+ years of experience working on observability, telemetry, or similar.
- Experience building for web and mobile (iOS/Android) platforms.
- Experience in JavaScript (client/server), TypeScript, Python, Go, and associated mobile development frameworks.
- Experience with modern, continuous development techniques and build pipelines (CI/CD, Jenkins, Git, Artifactory, Kubernetes, Ethos).
- Relevant knowledge of current tools and services like: Splunk, NewRelic, DataDog, OpenTelemetry, Loki, AppDynamics, Prometheus, AWS, and Grafana.
- Passion and desire for improving our logging infrastructure.
- Bachelor's or advanced degree in computer science or equivalent experience.
Preferred Qualifications- Experience architecting or contributing to AI assistants, copilots, or agentic platforms used in production environments.
- Hands-on experience designing agent-based systems, including multi-step reasoning workflows, tool invocation, memory persistence, and state management.
- Contributions to open-source Observability, AI frameworks, technical publications, or internal AI platform initiatives.
Expected Pay Range: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 position is $139,000 -- $257,550 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $177,900 - $257,550In Washington, the pay range for this position is $161,700 - $234,150
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
