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From the employer's careers site First seen 8 Nov 2026

Senior Engineer – Full Stack (Safe & Secure Platform)

The employer hasn't listed a salary.

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Description

We are seeking a Senior Engineer – Full Stack to contribute to the Safe & Secure platform, which supports physical security and safety-related business processes across Target locations.

The platform is built on open-source technologies including Kotlin/Java, Spring Boot, and React, with a focus on backend services, APIs, and event-driven architectures.

As a Senior Engineer, you will design, develop, and support scalable full-stack applications and services, contribute to system design and architectural discussions, and build and maintain APIs, integrations, and event-driven services.

Key responsibilities include:

  • Designing, developing, and supporting scalable full-stack applications and services
  • Contributing to system design and architectural discussions
  • Building and maintaining APIs, integrations, and event-driven services
  • Applying modern engineering practices, including API-first design, observability, resiliency, and automated testing
  • Collaborating with product, security, and operations teams to deliver high-quality solutions
  • Supporting platform modernization efforts and identifying technical improvements
  • Contributing to GenAI-enabled capabilities and integrating with data, services, and emerging AI technologies
  • Ensuring systems meet reliability, performance, and security expectations
  • Troubleshooting production issues and driving continuous improvement initiatives
  • Mentoring and supporting other engineers through code reviews and technical guidance

Requirements:

  • 4-year degree or equivalent experience
  • 5+ years of software development experience with enterprise-scale applications
  • Strong experience in Kotlin/Java, Spring Boot, Golang, Kafka, REST/GraphQL, Postgres, MongoDB, Redis, Elasticsearch, and modern frontend frameworks (React preferred)
  • Experience building scalable backend services, APIs, and distributed systems
  • Strong understanding of integration patterns, including APIs, messaging, and event-driven architectures
  • Experience working with cloud-native applications, observability, and operational excellence practices
  • Exposure to GenAI/ML ecosystems, Python, LLM integrations, or data engineering concepts is a plus

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Skills

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