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Location
San Jose, CA, United States
Posted on
Feb 17, 2023
Profile
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:Do you have a passion for building good backend software? Do you want to be part of a small world-class team building a new Augmented Reality (AR) product to be utilized by some of the largest companies in the world? Interested in learning about and pushing the boundaries of future technology? Splunk's Engineering team is looking for native backend developers to help build innovative AR-focused solutions that enable rapid comprehension of behavioral data against massive amounts of data volume in real time. You will get to work with a super smart group of people doing state of the art development work (both native mobile and mobile back-end) in areas of machine learning, data analytics, 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.Working with teams in our Bay Area offices (San Francisco and San Jose) 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 cross-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.Responsibilities:What core skills will you refine and improve? How will you contribute to our success?You will design, develop, code and test software systems, or applications for software improvements and new products.You'll actively contribute through participation in agile development of project timelines, implementation design specifications, system flow diagrams, documentation, testing, and ongoing support of systemsYour voice will have an impact through your recommended modifications to processes and procedures, and directly contribute to standard methodologies, architecture, and implementationsWe will encourage you to live innovation by promoting and soliciting ideas within project teamsRequirements: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.Applicants should have a minimum of one quarter/semester remaining in their studies after their internship concludes.The Splunk Co-Op program runs for a minimum of 15 weeks, up to a maximum of 16 consecutive weeks with a start date in May 2023. Applicants should be available to participate full-time (40 hours/week) in a Co-Op during this time. Possess knowledge of software engineering processes, agile framework, tools (e.g.: programming proficiency in a language, preferably Kotlin, Java), methods, test development, algorithms and data structureFamiliarity with object-oriented programming concepts, large-scale software architecture, networking and distributed systems, and - -- UNIX/Linux environmentsFluent in spoken and written EnglishDo you want to stand out as exceptionally qualified? Possess one or more of the following:Front-end language: HTML, CSS, JavaScript, Node.js, React.js, Angular, JS Framework (JQuery or YUI)Back-end experience (Grid, Hadoop, etc.)Mobile experience: iOS (Swift/Obj-C), AndroidAR experience: unity, ARKitStrong proficiency in Perl, PHP, Python, Ruby, or LAMPExperience building or maintaining databases (Oracle, MySQL, Hive, etc.)Secure Coding and Software Reverse EngineeringCryptography and cryptographic protocolsCross-browser, cross-platform codingLarge-scale, large-user base website development experienceDemonstrate competency and aptitude for Analytics, machine learning, AI, statistics, information retrieval, linguistic analysisStrong mathematical backgroundInternship experience at a tech companyWe value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
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