Senior Engineer - FullStack

Tech Overview:

Every time a guest enters a Target store or browses, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.

Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning.

Team Overview:

The role is for the Enterprise Tech Finance Accounts Payables team. AP teams consists of host of applications and integrations mostly on open source technologies Java, Kotlin, React, Spring boot/Micronaut that are responsible for vendor payments and functions associated around it.As a Sr. Engineer, you will be executing the engineering design and development of Open Source applications in Enterprise Tech.

About You:

• 4 year degree or equivalent experience
• 4+ years of software development experience
• Excellent communication skills with both business partners and other engineering teams
• Familiar with Agile principles and possess a team attitude
• Strong problem solving and debugging skills
• Strong sense of ownership and the ability to work with a limited set of requirements
• Experience in building applications using Java or Kotlin is a must
• Experience in building UI using react/Next.js is preferable
• Experience in microservices, Spring Boot/Micronaut, NoSQL databases, and event driven architecture
• Experience in building high-performance scalable APIs.
• Experience with NoSQL technologies Cassandra, Elastic search, MongoDB is a plus Deep experience writing unit and functional tests and test-driven development
• Experience building CI/CD pipelines Kafka and Docker experience