Enterprise · Observability
Currently tracking 5 active AI roles, up 271% versus the prior 4 weeks. Primary focus: Agent · Engineering.
| Title | Stage | AI score |
|---|---|---|
| AI Tech Lead - Staff Machine Learning Engineer Lead the design and delivery of next-generation Agentic AI systems for Security Operation Center (Agentic SOC), evaluating, prototyping, and productionizing state-of-the-art agentic AI technologies and building scalable multi-agent architectures. | AgentPost-train | 9 |
| Agent UI - Full Stack - Senior Software Engineer II Senior Full Stack Software Engineer II to design and build agent-driven user experiences and their backend systems, focusing on Model Context Protocol (MCP) integrations, structured tool definitions, agent orchestration services, and scalable APIs for AI agents to reason over observability and security datasets. | Agent |
| 7 |
| Staff Threat Research Engineer Staff Threat Research Engineer role focused on advancing threat detection by researching attacker behaviors, particularly in cloud and AI environments. The role involves turning threat intelligence into practical detections for the Sumo Logic SIEM platform, conducting original investigations, and contributing to the security community. | Agent | 7 |
| Software Engineer II - Core Ingest Software Engineer II for Sumo Logic's Core Ingest team, focusing on designing and developing large-scale, distributed data processing capabilities for petabytes of customer data. The role involves improving algorithms for load scheduling, enhancing performance guarantees in a multi-tenant architecture, and contributing to the re-architecture of message processing technology. It requires experience with distributed systems, multi-threaded programming, microservices, and object-oriented programming (Java/Scala), and involves working with technologies like Kafka, Kubernetes, and Docker. | — | 0 |
| Staff Software Engineer - Core Ingest Staff Software Engineer focused on designing and implementing high-volume, fault-tolerant, scalable backend systems for data ingestion and processing. The role involves working with distributed systems, Kafka, Kubernetes, and Docker to manage petabytes of data daily, ensuring performance and reliability for a commercial service. | — | 0 |
| Staff Software Engineer - Data Query Staff backend engineer on the Data Query team, responsible for building a scalable, reliable, and performant analytics platform for observability and security products. The role focuses on designing and implementing highly performant code to minimize CPU and memory overhead for processing exabytes of logs, millions of metrics, and terabytes of tracing data. | — | 0 |
| Senior Software Engineer I - Data Collection This role focuses on designing and implementing high-volume, fault-tolerant, scalable backend systems for data collection and ingestion pipelines. It involves working with large-scale distributed systems, asynchronous programming, and ensuring the reliability and efficiency of data processing for petabytes of customer data. | — | 0 |
| Software Engineer II - Core Platform Software Engineer II on the Core Platform team responsible for designing, architecting, and implementing scalable, distributed, and fault-tolerant backend systems for user onboarding, content management, entities, auditing, and health tracking. The role involves building systems and features for internal teams and end customers, with a focus on microservices ownership, reliability, and cost-effectiveness. | — | 0 |
| Senior Software Engineer I - Cloud SIEM Sumo Logic is seeking a Senior Software Engineer to join their Cloud SIEM team. The role involves designing, developing, and maintaining high-performance, scalable cloud services for their security information and event management platform. Responsibilities include collaborating with cross-functional teams, ensuring service performance and quality, identifying bottlenecks, fixing bugs, participating in code reviews, mentoring junior engineers, and providing on-call support. The role requires experience with Scala (or other JVM languages), Kafka, multi-threaded programming, and distributed systems, preferably in AWS. Familiarity with CI/CD tools, Docker, Kubernetes, Spark, and the security space are considered nice-to-haves. | — | 0 |