Application Engineer – Splunk/Machine Learning

Application Engineer – Splunk/Machine Learning

Requirements

• Bachelors Computer Science, Engineering, Informatics, Information Security, Information Technology, or related.
• 3+ years Information Technology, (Software) Engineering, or related
• Internal applicants only: technical proficiency of Competent on the Dreyfus Engineering scale.

Responsibilities

• Responsible for oversight on design and implementation of products assigned to their team.
• Analyze, design, code, test, and deploy new user stories and product features with high quality (security, reliability, operations) to production.
• Guides early-career engineers by providing learning tasks as well as work related tasks, directs the work of emerging talent, and helps them continue to grow in their technical skillset through mentorship.
• Has an oversight on application, system, and architecture design decisions and guides team to achieve key results for products assigned to them.
• Remediates issues using engineering principles and creates proactive design solutions for potential failures to ensure high reliability of technical solutions.
• Achieves team commitments (and influence others to do the same) through collaboration with other engineers, architects, product owners and data scientists.
• Contributes to and leads technology communities of practice at Discover in areas of design-thinking, tools/technology, agile software development, security, architecture and/or data.
• Creates and enforces IT standards within the system/application infrastructure and compatibility with the architecture of the platform.

Preferred Qualifications

• Develop machine learning models using Splunk or any other big data solutions
• Experience in Splunk
• The ability to Develop, de-code and debug Splunk queries
• Ability to perform Splunk environment installs, filter data, and manage indexes