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The Senior Engineer develops software and technology for Target's retail supply chain, focusing on architecture design, system optimization, and scalability. They work with various programming frameworks and technologies to build efficient operations and enhance customer experience.

Lead and support UX research across Target's digital and in-store products. Partner with product, design, engineering, and analytics to scope, run, and synthesize qualitative and quantitative studies (usability testing, surveys, ethnographies, intercepts). Manage multiple projects, translate insights into compelling stories to inform product and strategy, and maintain the research repository.

Lead accounting and external reporting for employee benefit plans, support SEC disclosures, research and document complex technical accounting issues, partner with cross-functional teams and external advisors, manage accounting processes and audits, and drive process improvements and projects to strengthen controls and reporting.

Lead development of tools for fraud analysts to detect and mitigate in-store and online fraud. Build full-stack applications using Kotlin/Java, Spring Boot, Kafka, SQL/NoSQL, React and Gradle. Collaborate with engineers and analysts, write tests, and apply analytical thinking to protect guests and Target from fraud and account abuse. Hybrid role based at Target HQ, MN.

Support and develop enterprise design tools and specialty hardware (3D printers, scanners, color devices). Manage color systems, automate infrastructure monitoring, resolve macOS/Windows incidents, collaborate with creative teams, and use Agile to prioritize and deliver technology solutions for apparel and design workflows.

Build and maintain a developer platform that scaffolds configured codebases; design abstractions, infrastructure integrations, and AI-assisted workflows. Deliver scalable, secure backend services across Kotlin/Java, Python, and TypeScript, own architecture decisions, lead reviews, triage production issues, and embed CI/CD and data quality practices.

Lead architecture and implementation of scalable observability and FinOps platforms. Design self-service frameworks, define and enforce SLOs/SLIs, manage high-cardinality telemetry and tracing, optimize cloud cost metrics, mentor engineers, collaborate with Finance and leadership, and resolve performance and cost issues across distributed systems.

Lead strategy and roadmaps for Data Platform experiences across developer and analyst personas. Drive discovery with UX research, define persona journey maps, partner with platform teams and UX design, enable go-to-market, and benchmark industry practices to improve self-service, governance, and productivity.

Lead design, build, and operate cloud infrastructure on GCP with emphasis on networking, IaC, automation, observability, security, and platform architecture. Guide architecture, drive improvements, mentor teams, and implement scalable, reliable cloud-native solutions using Go, containers, and IaC tooling.

Design and build scalable backend and platform services for agent orchestration, execution, evaluation, and observability. Integrate LLMs, enterprise tools, and external systems; develop APIs, SDKs, CI/CD workflows, and evaluation suites. Ensure security, governance, reliability, and performance in a cloud-native environment while collaborating with cross-functional teams.