Description
Role Summary
What you'll get to do
- Define, code and perform performance/scalability benchmarks on Splunk Enterprise and Cloud products, within the scope of a contained, end-to-end project.
- Work with various profiling tools to identify performance and concurrency bottlenecks.
- Work under the close supervision of a mentor with weekly check-ins
Must-have Qualifications
- Actively pursuing a Bachelors, Master's, or PhD in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related technical field, and a strong record of academic achievement
- At least one semester/quarter remaining to complete after the internship
- Available to work 40 hours a week for 15 weeks
Nice-to-have Qualifications
- Knowledge of software engineering processes, agile framework, tools (e.g.: programming proficiency in a language, preferably Python), methods, test development, algorithms and data structures
- Familiarity with object-oriented programming concepts
- Academic experience with one or more of the following programming languages including but not limited to Go, C++, Java, Python, Javascript
- Ability to learn new technologies quickly
- Experience collaborating with others in a fast-paced environment
- Strong communication skills, verbal and written
Note:
Base Pay is based on a candidate completing 4 years of university or the academic equivalent
Base Pay Range
Canada
Base Pay: CAD 42 per hour
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills, year in school and experience of the candidate. In addition to base pay, this role may be eligible for benefits.
Thank you for your interest in Splunk!
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