Sumo Logic

Machine Learning Engineer

• Design, implement, and optimize agentic AI components including context engineering, memory management, and prompts.
• Develop and maintain golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale.
• Prototype and evaluate novel prompting strategies and reasoning chains for model reliability and interpretability.
• Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.
• Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes.
• Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.
• Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.

Full-stack Engineer

• Designing and implementing extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.
• Work to improve algorithms built to schedule load on clusters of thousands of machines elastically at runtime.
• Improve systems to provide performance guarantees to customers in a shared-everything multi-tenant architecture.
• Lead and contribute to the re-architecting of our internal message processing technology to petabyte per day scale.
• Help manage exabytes of data using the latest and greatest technologies such as Kafka, Kubernetes and Docker.
• Work across Sumo interfacing with multiple teams including Search, Security and Metrics & Tracing to identify requirements and architect solutions to meet their data core ingest needs.

Machine Learning Engineer

Senior Software Engineer