Senior Software Engineer II at Sumo Logic (View all jobs) 

Redwood City, CA 

What you will be doing:

• Build the system that runs an elastic big data analytics platform that runs in the AWS cloud. 
• Design & implement the extremely high-volume, fault-tolerant, scalable backend systems. 
• Analyze & improve the efficiency & 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 & effectively to business needs. 
• Development management over terabytes of data using the latest & greatest technologies such as Kafka, K8S, RDS, Redis, ElasticSearch & Cassandra.
• Telecommuting is permitted.

What we need from you

Requirements: 

Bachelors degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology, or related IT field & five (5) years of post-baccalaureate, progressive experience as a Software Engineer or in a related role. In lieu of a Bachelors degree & five (5) years of experience, will accept a Masters degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology, or related IT field & three (3) years of experience as a Software Engineer or in a related role.

• Experience with: 

• Real-time streaming workflow over large amounts of data; 
• Object-oriented  programming using Java, Scala, or C++; 
• Algorithms & performance characteristics of large distributed software systems; and, 
• Distributed systems auto scale up/ right sizing of the infrastructure.

The salary range for this position is $215,500 to $225,000 per year.

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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.

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