Application Engineer (Splunk/Machine Learning)

Discover. A brighter future.

With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.

Come build your future, while being the reason millions of people find a brighter financial future with Discover.

Job Description:

What You'll Do

• Responsible for oversight on design and implementation of products assigned to their team. Still needs to think things through, but has their driver's license. This means they can take user stories and new features from idea to production unattended.

How You'll Do It

• Analyze, design, code, test, and deploy new user stories and product features with high quality (security, reliability, operations) to production. Understands the software development lifecycle and leverages critical thinking skills to properly evaluate features and functionality.
• 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.

Qualifications Youll Need

The Basics

• 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.

Physical and Cognitive Requirements
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws:

• Primarily remain in a stationary position.
• No required movement about the work environment to complete the major responsibilities of the job.
• Primarily performed indoors in an office setting.
• Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.

Bonus Points If You Have

• 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

External applicants will be required to perform a technical interview.

Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.

#REMOTE

#LI-AS1

Application Deadline:

The application window for this position is anticipated to close on Apr-01-2025. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

Compensation:

The base pay for this position generally ranges between $89,000.00 to $150,200.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.

Benefits:

We also offer a range of benefits and programs based on eligibility. These benefits include:

• Paid Parental Leave

• Paid Time Off

• 401(k) Plan

• Medical, Dental, Vision, & Health Savings Account

• Short and Long Term Disability, Life, and Accidental Death & Dismemberment insurances

• Recognition Program

• Education Assistance

• Commuter Benefits

• Family Support Programs

• Employee Stock Purchase Plan

Learn more at mydiscoverbenefits.com.

What are you waiting for? Apply today!

All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.

Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights)

Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email HireAccommodation@discover.com. Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.

At Discover, we are committed to creating an inclusive and equitable workplace through our Fair Chance Hiring practices. Fair Chance Hiring means that we base our hiring decisions on an applicant’s qualifications rather than their criminal record. All our positions are subject to Section 19 of the Federal Deposit Insurance Act. Our applicants go through a background check, and we follow all applicable local laws, including the Los Angeles County Fair Chance Hiring Ordinance (LA County Fair Chance).

Positions marked as remote eligible are limited to remote locations within the country in which the position is based.

Applicants must be 18 or older at the time of hire.