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Sumo Logic // cloud-based log analysis platform
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Sr. Software Engineer at Sumo Logic (View all jobs) 

Redwood City, CA 

What you will be doing:

  • Responsible for designing & developing a piece of our complex event-based processing platform & 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, & analytics. 
  • Design & develop components of the multi-tenant event-based processing platform.
  • Design & develop data pipeline & systems for management & manipulation of very large data sets. 
  • Design & implement extremely high-volume, fault-tolerant, scalable backend systems. Analyze & improve efficiency, scalability, & reliability of data processing components & code primarily in Java & Scala.  

What we need from you

Requirements: 

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

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

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About Sumo:

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

Our Customers:

We serve DevOps, SecOps & ITOps teams. Customers love our product because it allows them to easily monitor & 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.

#li-dni

 
 
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