Senior AI Backend Engineer for Gift Card Platform

Target Corp

Brooklyn Park (MN)

Hybrid

USD 98,000 - 176,000

Full time

14 days+

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Benefits offered by this job

Health benefits
401(k) plan
Paid time off

Job summary

Target is hiring a Senior Engineer for the Gift Card Platform in Brooklyn Park, MN. You will design and build scalable, secure back-end services using Kotlin/Java and Micronaut, integrating AI-powered capabilities across APIs, data processing, and guest-facing components.

You will lead architecture discussions, drive best practices, and collaborate across teams to deliver high-availability, observability, and cost-effective solutions in a hybrid work model.

Qualifications

  • 4 year degree or equivalent experience.
  • 5+ years of software development experience.
  • Strong domain knowledge of Target’s technology capabilities and competitors.
  • Experience with Kotlin/Java backend and Micronaut/Spring Boot.
  • Experience with distributed systems, REST and GraphQL APIs.
  • Experience with data processing and AI tooling.
  • Proficiency in Python for AI tooling.

Responsibilities

  • Lead design and lifecycle management of Gift Card Platform services.
  • Build scalable backend services with REST/GraphQL APIs.
  • Design distributed systems and event-driven architectures.
  • Develop AI-powered capabilities using domain AI agents and RAG.
  • Ensure security, observability, and reliability of production systems.
  • Mentor engineers and promote engineering best practices.

Skills

Backend development
Kotlin/Java
Distributed systems
REST/GraphQL
AI applications
CI/CD

Education

4 year degree or equivalent experience

Tools

Docker
Kubernetes
PostgreSQL
Redis
Micronaut

Job description

Target is hiring a Senior Engineer for the Gift Card Platform in Brooklyn Park, MN. You will design and build scalable, secure back-end services using Kotlin/Java and Micronaut, integrating AI-powered capabilities across APIs, data processing, and guest-facing components.

You will lead architecture discussions, drive best practices, and collaborate across teams to deliver high-availability, observability, and cost-effective solutions in a hybrid work model.

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