Sr. Software Engineer

Job Description

Sr. Software Engineer at Sumo Logic (View all jobs)

Redwood City, CA

What you will be doing:

• Responsible for designing and developing a piece of our complex event-based processing platform and data infrastructure for our enterprise security service.
• Work on a highly distributed, fault tolerant, multi-tenant framework that includes leading edge components related to storage, messaging, search, and analytics.
• Design and develop components of the multi-tenant event-based processing platform.
• Design and develop data pipeline and systems for management and manipulation of very large data sets.
• Design and implement extremely high-volume, fault-tolerant, scalable backend systems. Analyze and improve efficiency, scalability, and reliability of data processing components and code primarily in Java and Scala.

What we need from you

Requirements :

Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, or IT related field and one (1) year of experience as a Software Engineer, Software Developer or in a related role.

• Experience with:
• Software engineering and development experience with multi-threaded programming, distributed systems, and object-oriented programming;
• programming languages as Java and Scala;
• Creations and consumption of REST and SOAP services;
• Data streaming technologies such as Spark and Kafka; and MapReduce model.

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About Sumo:

We are a cloud-native SaaS machine data analytics platform - logs, time series metrics, and security analytics. We were founded in 2010 by experts in log management, big data, security systems, and enterprise-scale applications. Customers love our product because it allows them to easily monitor and optimize their mission-critical, large scale applications.

Our Customers:

We serve DevOps, SecOps and ITOps teams. Customers love our product because it allows them to easily monitor and optimize their mission-critical, large scale applications.

Mission:

Democratize machine data analytics through our platform, bringing real-time data insights securely through the cloud.

Massive Scale:

Our microservices architecture in AWS ingests hundreds of terabytes daily across many geographic regions. Millions of queries a day analyze hundreds of petabytes of data.

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