Sally Ann O'Malley is a Principal Engineer at Red Hat and an accomplished software engineer, open-source contributor, and educator. With over a decade of experience in enterprise software development and container technologies, O'Malley has established herself as a key figure in cloud-native infrastructure, distributed systems, and AI/ML operations within the open-source community.¹⁾

O'Malley joined Red Hat in 2015 and has maintained a tenure of over a decade with the organization, rising to the rank of Principal Engineer. Her career trajectory demonstrates a commitment to continuous learning and technical excellence. Before entering the software engineering field, O'Malley worked as a schoolteacher and subsequently as an employee at Trader Joe's, roles that provided foundational experiences in communication and operational management. Recognizing her interest in technology, she pursued a second bachelor's degree in software engineering at UMass Lowell, formalized education that prepared her for a technical career at scale.

O'Malley's technical work spans multiple critical areas within the open-source and container ecosystems. She is a founding contributor to llm-d, a distributed AI inferencing platform designed to run large language model workloads on Kubernetes clusters, addressing scalability challenges in modern machine learning operations. This contribution reflects her engagement with emerging AI infrastructure patterns.

Her broader technical portfolio includes work on:

* Podman - A container runtime and orchestration tool that provides rootless container execution and serves as a Docker alternative within enterprise environments * OpenTelemetry - An open-source observability framework for distributed tracing, metrics, and logging across microservices architectures * Sigstore - A project providing cryptographic signing and verification for software supply chain security * Image-based operating systems - Infrastructure abstractions that package entire system states as immutable container images * OpenClaw agents project - Contributions to AI agent frameworks and agentic systems development

These contributions position O'Malley within the convergence of container infrastructure, observability, security, and AI operations—domains increasingly central to modern enterprise technology stacks.

O'Malley serves as an Instructor at Boston University's Faculty of Computing and Data Sciences, where she teaches courses related to software engineering, distributed systems, or computing fundamentals. Her role in academic instruction reflects broader efforts to bridge industry practice and academic training in computer science and software engineering disciplines.

In community engagement, O'Malley serves as an Organizer for DevConf.US, a community conference focused on open-source development, DevOps practices, and enterprise Linux technologies. This role demonstrates active involvement in fostering collaboration and knowledge-sharing within the developer community.

In 2025, O'Malley received the Paul Cormier Trailblazer Award, a recognition that reflects her significant contributions to open-source projects, community leadership, and innovation in enterprise software development. The award acknowledges her impact on the Red Hat ecosystem and the broader open-source community.

O'Malley's work reflects intersecting interests in distributed systems, containerization, supply chain security, observability, and AI operations. Her founding contributions to llm-d indicate engagement with the operational challenges of scaling machine learning workloads in cloud-native environments, an increasingly critical domain as organizations deploy large language models and other AI systems at scale. Her involvement across container runtimes, security tooling, and observability platforms suggests a systems-oriented perspective on building reliable, secure, and observable infrastructure for modern workloads.

• Christine Yen
• Red Hat
• Daniela Amodei