Sumo Logic

👥 1001-5000💰 $110,000,000 Series G over 5 years ago🫂 Last layoff over 1 year agoCloud Data ServicesBig DataSaaSAnalyticsEnterprise Software💼 Private Company
Website LinkedIn Email Facebook Twitter

Sumo Logic is a leading cloud-native machine data analytics company providing real-time insights into application performance and security. We empower organizations to build, run, and secure modern applications and cloud infrastructures with our SaaS platform. Our platform leverages machine-generated big data from structured, semi-structured, and unstructured sources, delivering continuous intelligence across the entire application lifecycle. This allows customers to accelerate innovation, enhance competitive advantage, and drive business growth. Our engineering teams build and maintain a robust, scalable platform using a microservices architecture on AWS. We utilize technologies such as React, TypeScript, Webpack, Apollo/GraphQL, and modern CI/CD tools (Jenkins, GitHub Actions). We embrace a collaborative and fast-paced environment, fostering innovation and supporting continuous learning. Our remote-first culture empowers employees globally to contribute and thrive. Sumo Logic boasts a strong track record of innovation and growth, having secured significant funding and serving over 2,000 customers worldwide. We prioritize a culture of transparency and collaboration, providing opportunities for professional development and career advancement. We offer competitive compensation and benefits, including unlimited PTO, quarterly wellness days, and comprehensive health coverage. We're a large company with a startup spirit, committed to providing a positive and inclusive environment for our employees. Our commitment to excellence and innovation has earned us recognition in the industry for our cutting-edge technology and innovative solutions, driving our continued success in the rapidly evolving field of data analytics and security.

Related companies:

🏢 Affirm
👥 1001-5000💰 Post-IPO Equity about 4 years ago🫂 Last layoff almost 2 years agoLendingFinancial ServicesPaymentsFinTech
Website LinkedIn Email Facebook Twitter

Jobs at this company:

Apply

📍 Bay Area, Austin, Denver

🧭 Full-Time

💸 112000.0 - 151000.0 USD per year

🔍 Cloud-native applications, analytics, and security solutions

  • BTech, B.S., M.S., or Ph.D. in Computer Sciences or related discipline.
  • 2+ years of industry experience with a proven track record of ownership and delivery if you only have a B.S. degree.
  • Object-oriented experience in Java, Scala, or C++.
  • Understanding performance characteristics of commonly used data structures (maps, lists, trees, etc.).
  • Desire to learn Scala, an up-and-coming JVM language.

  • Design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.
  • Analyze and improve the efficiency, scalability, and reliability of our backend systems.
  • Write robust code; demonstrate its robustness through automated tests.
  • Work as a member of a team, helping the team respond quickly and effectively to business needs.
  • Help manage exabytes of data using the latest technologies such as Kafka, AWS, Kubernetes, and Docker.

AWSBackend DevelopmentDockerJavaKafkaKubernetesC++Data StructuresLinuxScalaSoftware Engineering

Posted 11 days ago
Apply
Apply

📍 United States, Canada

💸 155000.0 - 180000.0 USD per year

🔍 Cloud-native application analytics and security

  • B.S. or higher in Computer Sciences or related discipline (M.S. a plus).
  • 4-7 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.
  • Hands-on object-oriented programming experience (e.g., Java, Scala).
  • Excellent verbal and written communication skills.

  • 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 internal message processing technology for petabyte-per-day scale.
  • Help manage exabytes of data using technologies such as Kafka, Kubernetes, and Docker.
  • Collaborate with multiple teams (Search, Security, Metrics & Tracing) to identify requirements for data core ingest needs.

DockerJavaKafkaKubernetesMicroservicesScala

Posted 18 days ago
Apply