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Own the end-to-end architecture and technical direction of Target's enterprise observability platform. Solve high-volume telemetry and distributed-systems challenges, set engineering standards, drive platform-as-product adoption, mentor senior engineers, improve reliability and operational insights, and contribute to cross-infrastructure priorities at scale.

Build and maintain scalable IoT and RFID platform components, deliver robust software, participate in architecture and code reviews, operate production systems, enable self-service for internal teams, and ensure CI/CD, monitoring, and reliability for thousands of connected devices.

Lead design and implementation of production-grade AI-powered services and agentic systems, build scalable microservices (Kotlin/Java), integrate LLMs and RAG, optimize for performance/cost, improve observability, and mentor engineers while partnering across product, data, and infrastructure teams.

Lead design and build of production AI-powered applications and autonomous agent systems, and develop scalable AI-ready backend services. Craft microservices (Kotlin/Java, Micronaut/Spring), event-driven architectures (Kafka), and data stores (Postgres, Redis). Implement RAG, vector search, prompt/context engineering, observability (OpenTelemetry), and responsible AI practices. Mentor engineers, lead architecture and design reviews, and drive performance, reliability, and operational excellence for Circle Card application services.

Lead FP&A reporting and analytics intake; analyze weekly results and trade-off decisions; develop retail accounting expertise; process allocation entries; partner cross-functionally to simplify and automate reporting; design data validation and QA; evaluate AI tools to automate work; create documentation, training, and onboarding materials; represent FP&A in business and system initiatives.

Build scalable, reliable backend systems powering Target stores and fulfillment. Design, implement, and test software components, perform code reviews, handle operational issues, and collaborate with data scientists to improve forecasting and replenishment using distributed programming principles.

Technical lead for Finance Technology data engineering: design and build scalable batch and real-time data pipelines (Hadoop/Spark/PySpark/Scala/Java), optimize data models and APIs, drive cloud-based data architecture (AWS/GCP/Azure), enforce governance/security, and mentor engineers to deliver enterprise financial data services.

Perform detection, triage, and response to cybersecurity events within a 24x7 Cyber Fusion Center. Monitor SIEM/logging, manage cases in SOAR/incident systems, support host and network investigations, assist containment and remediation, participate in hunts, and document incident reports while improving CSIRT processes.

Senior engineer responsible for designing, building, and supporting Workday solutions within an HR product scrum team. Prototype, implement, and maintain Workday integrations and extensions, troubleshoot operational issues, and apply scalable software engineering patterns. Collaborate with peers on architecture, testing, and automation to drive business value.

As a Senior Engineer in Incident Response Engineering, you will design and maintain SOAR automations, collaborate on technical solutions, troubleshoot operational issues, and enhance tooling for security teams.