Staff Software Engineer - Core Ingest

Staff Software Engineer - Core Ingest The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data. As a Staff Software Engineer - Core Ingest, you will actively contribute and lead engineers in the design and development of new distributed data processing capabilities. You will be instrumental in helping us solve complex, low-latency, distributed systems challenges to handle our ever-increasing scale. Our system is a highly distributed, fault-tolerant, multi-tenant platform that includes bleeding-edge components related to storage, messaging, search, and analytics. This system ingests and analyzes petabytes of data a day, while making exabytes of data available for search and forensic analysis. You are a strong software engineer who is passionate about large-scale systems. You care about producing clean, elegant, maintainable, robust, well-tested code; you do this as a member of a team, helping the group come up with a better solution than you would as individuals. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 commercial services. Responsibilities: 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. Experience in multi-threaded programming and distributed systems 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. Requirements: B.S. or higher in Computer Sciences or related discipline (M.S. a plus) 6-8+ years of industry experience with a proven track record of ownership and delivery Experience developing scalable distributed data processing solutions Experience in multi-threaded programming Experience in running large scalable distributed services following a microservice architecture Experience in Apache Kafka Hands-on object-oriented programming experience (e.g., Java, Scala) Excellent verbal and written communication skills Understand performance characteristics of commonly used data structures (maps, lists, trees, etc). Desirable: Experience in big data and/or 24x7 commercial service is highly desirable. You should be happy working with Unix (Linux, OS X). Agile software development experience (test-driven development, iterative and incremental development) is a plus. About Us Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations, we empower digital teams to move from reaction to readiness—combining agentic, AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com. Sumo Logic Privacy Policy . Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection. The expected annua ... (truncated, view full listing at source)