Software Development Engineer

Adobe•Seattle, WA

About The Position

We are a team of passionate storytellers, technology innovators, and change agents. We are re-imagining the way people discover, create, and publish content across web and mobile experiences using Adobe Express. We are seeking an experienced Software Development Engineer to help build the infrastructure and tooling that powers Adobe's next generation of products. As AI transforms how software is built and operated, you will help shape intelligent observability capabilities that enable engineering teams to proactively detect, diagnose, and resolve issues across the platform while improving developer productivity through AI-assisted operational workflows.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.