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Design and build platform services for an agentic analytics layer connecting users and agents to governed analytical data. Work spans agent orchestration, data and metadata access, semantic models, evaluation, observability, security, and production reliability in a collaborative engineering environment.

Build and maintain scalable batch and real-time data pipelines and services for finance systems. Develop ETL workflows, data models, APIs, and distributed processing solutions using Spark, cloud platforms, and SQL. Ensure data governance, security, and quality while collaborating with engineers, product teams, and business stakeholders to troubleshoot, optimize, and improve system reliability.

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 an engineering team building strong authentication and IAM capabilities. Own product roadmap, architecture, secure scalable solutions, stakeholder partnerships, DevOps/CI/CD practices, and career development while balancing security and user experience.

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.

Design, build, and maintain scalable full-stack applications and backend services for Risk & Compliance. Develop APIs and enterprise integrations, improve reliability and observability, support production systems, contribute to system design and platform modernization, mentor peers, and help deliver GenAI-enabled capabilities.