As a backend staff engineer in the Logs Expereinces team, you will be responsible for helping create a scalable, reliable and performant log analytics platform for observability and security products to empower our customers to rapidly create high-quality analyses that enable them to react in real-time to events and incidents. The Logs Ingest Team is responsible for making the ingestion pipeline of logs performant at petabytes of data per day. 

Responsibilities

• Work with product and engineering counterparts to develop the product backlog for logs experiences aligning with top-down strategy
• 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.
• Mentor junior engineers and improve software development processes.

• Evaluate, test, and provide technology and design recommendations to the team.

Write detailed design documents and documentation on system design and implementation.

• Take ownership in breaking down requirements into technical tasks and help estimate timelines.

 Requirements

• B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline
• 8+ years of industry experience with a proven track record of ownership 
• Object-oriented experience, for example in Java, Scala, Ruby, or C++.
• Experience in multi-threaded programming and distributed systems.
• Experience working in data plane with large scale systems
• Desire to learn Scala, an up-and-coming JVM language (scala-lang.org).
• Experience working in teams with a heavy emphasis on Automation and Quality (CI/CD)
• Experience leading projects and mentoring engineers.
• Comfortable working with a remote team operating in multiple time zones.
• Comfortable communicating about your work with both technical and non-technical team members, including fellow engineers, product managers, designers, and analysts.
• Team player, able to take and give constructive feedback and apply (from code reviews to 1-1s).

 Desirable:

• Experience in big data and/or 24x7 commercial service is highly desirable.
• Agile software development experience (test-driven development, iterative and incremental development) is a plus.
• Working with data oriented systems with machine learning and data science involved is highly desirable as this role will involve learning data engineering pieces

About Us

Sumo Logic, Inc., empowers the people who power modern, digital business.  Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

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