Software Development Engineer
$177,900–$257,550 year
On-siteSan Francisco, California, United States or Seattle, Washington, United States
Job Summary
Design and implement AI-powered observability using telemetry, metrics, logs, and distributed traces to accelerate issue detection and root cause analysis. 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, build dashboards to enhance infrastructure transparency, and standardize patterns and guidance. Assist in integrating Observability into automation infrastructure across continuous delivery stages and contribute to the overall Adobe monitoring platform. This role requires 5+ years of experience in observability, with a focus on building tools that enable engineering teams to proactively detect and resolve issues while improving developer productivity through AI-assisted workflows.
Required Qualifications
- 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)
- Bachelor's or advanced degree in computer science or equivalent experience
Desired Qualifications
- Experience integrating AI capabilities with observability platforms, telemetry pipelines, or incident management workflows
- 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
- 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
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.