At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career. 

As an Application Engineer supporting our SAS Electronic Fraud Management tools, you’ll build and release reliable software systems at scale. By partnering with enterprise-wide) teams, you’ll develop and maintain full stack solutions that fit our business needs. You’ll use your holistic view of all products (and their interactions) to design elegant solutions and strategize the future state of our larger technical ecosystem. By independently innovating and advocating for best practices, you’ll solve complex problems and guide the team on implementing solutions from inception to production. 

Responsibilities 

• Analyze, design, program, test, and deploy new user stories and features with high quality (security, reliability, operations) to production 
• Tends to Associate Application Engineers by providing learning tasks as well as work related tasks, directs the work of Senior Associate Application Engineers, and helps them continue to grow 
• Achieves team commitments (and influence others to do the same) by using informal leadership & highly developed communication skills 

• Has an oversight on 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 
• Contributes to and leads technology communities at Discover 

Minimum Qualifications 

At a minimum, here’s what we need from you: 

• Bachelors – Computer Science 
• 3+ Years – Information Technology, (Software) Engineering, or related 
• Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale 

Preferred Qualifications 

Bonus Points If You Have: 

• Working knowledge of SAS Fraud Management application
• Previous experience implementing SAS tools and platform preferred
• Experience with Java development on client facing application
• Experience as part of an Agile engineering or development team  
• Strong understanding of object-oriented principles with an ability to write clean code  
• Strong experience working with a relational database and NoSQL database 
• Strong experience with CI/CD pipelines with Jenkins or similar; Git/GitHub; Artifactory  
• Proven skills in high availability and scalability design, as well as performance monitoring  
• Experience developing and implementing API service architecture  
• Experience with relational databases such as MySQL or Postgres and understanding of columnar data stores such as Redshift or Snowflake  
• Experience in working in a cloud environment such as AWS, GCP or Azure.  
• Understanding of messaging systems like MQ, Rabbit MQ, Kafka, or Kinesis. 
• Build secure web applications with user authentication  
• Understanding of software testing principles and methodologies  
• Strong technical understanding of data architecture, data quality and related technologies  
• Developing applications on Pivotal Cloud Foundry
• Linux/Unix environment background including Shell scripting

External applicants will be required to perform a technical interview