Engineering Manager - Observability

About the role

Join a globally diverse team that both builds and finds best-of-breed tools to bring critical Observability services to all of Adobe. Our team embodies DevOps, as our responsibilities range from crafting new tools and UIs to maintaining and supporting one of the largest logging deployments in the industry, in partnership with other observability tools.

We’re a close-knit team dedicated to providing a robust platform, supporting both Adobe’s engineering teams and each other. We need an experienced Engineering Manager to lead this team, grow its talent, and drive Adobe’s observability strategy forward.

If you enjoy building high-performing teams and solving complex tasks where it’s easy to draw a line from your team’s efforts to real accomplishments, come talk to us.

Job Requirements

- 10+ years of experience with distributed applications at scale in public and/or private cloud, including 3+ years managing engineering teams

- Experience leading teams that architect and implement large-scale Observability platforms

- B.S. degree in Computer Science or related technical field

- Proven ability to hire, develop, mentor, and retain engineering talent in a diverse and distributed team environment

Must Have

- Track record of leading teams operating internally hosted logging systems like Splunk, ClickHouse, Loki, Elastic, supporting clients and improving environment performance and stability

- Demonstrated ability to drive ingestion cost optimization across a team through data-driven analysis, pipeline guardrails, and direct engagement with customer engineering teams to reduce unnecessary log volume

- Strong understanding of OpenTelemetry — including collector configuration, pipelines, and instrumentation — and the ability to guide a team executing Adobe’s OTel-native observability strategy

- Experience setting technical direction for AI agent development and integrating AI workflows into large-scale deployments; ability to steer teams building AI-assisted workflows that surface actionable insights from large log datasets and automate routine user interactions

- Experience overseeing distributed environments with thousands of users

- Familiarity with languages like Go and Python sufficient to provide technical leadership, review architecture, and guide engineers building integrations and applications for large-scale Observability environments

- Experience guiding the design and implementation of systems for fault tolerance, scalability and stability

- Experience leading teams that develop, deploy and run distributed applications on cloud platforms, including container and orchestration technologies (Docker, Kubernetes)

- Ability to establish and manage on-call coverage across a multi-tool observability stack, ensuring the team can triage and resolve issues across platforms

- Accountable for the highest level of up-time and Quality of Service to Adobe’s customers through operational excellence