Engineering

Software Engineer - Infrastructure Monitoring & Metrics

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

Role:

We are looking for highly motivated, established software engineers to join our full stack team, whose mission is to create a user experience for the leading Observability platform created by the combination of SignalFx and Splunk. You will contribute to the backend services to create and maintain the Infrastructure Monitoring and Metrics pillar of the Observability Suite at Splunk.

You will have an opportunity to enjoy our dynamic, startup-like environment and get invaluable work experience at a market leader, whose Observability Suite was recently named Best Observability Solution in the DevOps Dozen Awards. You will have a unique chance to make a real impact on a fully cloud-based, SaaS product, with automated CI/CD pipelines.

Responsibilities:

  • Acquire and maintain E2E ownership of selected backend services
  • Identify scalability limitations and propose architectural improvements
  • Work across different teams and Product Management on gap and requirements analysis
  • Design and implement application features by contributing to our RESTful backend services

Requirements:

  • Experience in modern Java programming
  • Experience in data streaming, cloud computing, microservice architectures and REST APIs
  • Proven track of record in solving performance and scalability problems
  • Basic knowledge of JavaScript programming and front-end technologies
  • Typically a minimum of 5 years of related experience with a Bachelor's Degree in Computer Science or Engineering, or 4 years with a Master’s degree in CS/Engineering, or equivalent practical working experience
 
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Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.

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