Performance Engineer Intern - Remote US Fall 2023 - job 2 of 2

**We welcome remote applicants from any US location**

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:

Splunk is looking for interns for Fall 2023! As a Performance Engineer Intern, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic, startup-like environment.

You will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.

You will get to work with smart and hardworking individuals who are doing state of the art development work (full stack, web front-end, back-end, and DevOps) in areas of machine learning, data analytics, infrastructure and event correlations across silos to build best-in-class business analytics software. You will be interacting with product management and customers to understand detailed requirements. You will also work with other engineering teams across Splunk to design and build high-performance solutions.

You will have the opportunity to:

• Collaborate with peers, field teams, and customers to understand and encapsulate the use cases into industry standard benchmarks.
• Work with Performance Stability & Reliability (PSR) senior leads and involve in customer engagement proof-of-concept projects to get direct exposure to the usage patterns we strive to satisfy.
• Drive projects to integrate benchmarking into our continuous integration and test automation frameworks. At Splunk, each and every release of our software is highly scrutinized to meet the demands of our customers.
• Define, code and perform performance/scalability benchmarks on Splunk Enterprise and Cloud products.
• Work with various profiling tools to identify performance and concurrency bottlenecks, and propose and implement optimizations to improve the Splunk product.
• Code and improve sizing and capacity calculators for key Splunk applications on the cloud.

Basic Requirements:

• Actively pursuing a Bachelor's, 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 from September-December 2023

Preferred Requirements:

• 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, large-scale software architecture, networking and distributed systems, and UNIX/Linux environments
• Proficient in one or more of the following programming languages including but not limited to Go, C++, Java, Python, Javascript
• Experience with scripting languages (Python) and compiled languages (C/C+) is a plus.
• Familiarity with tools and technologies like Git, AWS, Linux, Docker and Artifactory is a plus
• Experience in tackling problems of load, scale, and optimizations of complex large-scale deployments is a plus
• Ability to find root cause of performance bottlenecks with profiling tools, pstack, qmlprofiler is a plus

What We Offer You:

• A fun and collaborative environment with many exciting events from interacting with other interns to conversations with our executive leadership team.
• A constant stream of new things for you to learn. We're always expanding into new areas, bringing in open source projects and contributing back, and exploring new technologies.
• A set of exceptionally talented and dedicated peers, all the way from engineering and QA to product management and customer support.
• Growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.
• A stable, collaborative and supportive work environment.

We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

Note: 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 range 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 below, 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.

Base Pay Range based on a candidate completing 3 years of university or the academic equivalent

Base Pay Range

SF Bay Area, Seattle Metro and New York City Metro Area

Base Pay: $45 per hour

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay: $41 per hour

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay: $35 per hour