Staff Software Engineer (Analytics)

Responsibilities:

• Hands-on technical leadership: Provide senior engineering guidance for architecture, design, development, deployment, monitoring, and production support of Supply Chain Intelligence and Inventory Visibility solutions.
• Platform ownership: Support and enhance platforms such as IMPACT, mVIEW, PI data services, Nexus, BOL/GenAI document extraction, barcode scanning capabilities, and enterprise reporting/data integrations.
• Software engineering: Design, build, and maintain batch, micro-batch, streaming, and event-driven processes for high-volume supply chain, inventory, transportation, merchandising, warehouse, store, and enterprise datasets.
• APIs and microservices: Build reusable APIs, backend services, and integration patterns that expose inventory and supply chain data to applications, dashboards, analytics, eCommerce, BI, data science, in-stock, catalog, ROAR, HERO, smart markdown, and other enterprise consumers.
• Full-stack development: Develop and support modern web applications, user workflows, admin screens, operational dashboards, barcode scanning experiences, alert interfaces, and reporting integrations with strong usability and performance.
• AI and automation: Design and deliver GenAI, RAG, document extraction, and agentic workflow solutions that improve productivity, automate manual processes, and unlock data from structured, semi-structured, and unstructured sources.
• Reliability and observability: Implement monitoring, Grafana dashboards, email alerts, logs, runbooks, data lineage, UI-to-API-to-data mappings, RCA tracking, and proactive support processes for critical data and application platforms.
• Cloud optimization: Improve cost, latency, scalability, and performance through BigQuery optimization, compute right-sizing, caching, Dataflow/DAG tuning, data retention policies, API reuse, and pragmatic architecture decisions.
• Enterprise standards: Develop and deploy applications using company software design, security, DevOps, infrastructure, API gateway, network, access, and production readiness standards.
• Modernization and migrations: Support upgrades and transitions across cloud platforms, orchestration tools, source systems, API management, Kafka integrations, Dataflow SDKs, Composer/Airflow versions, and enterprise data platforms.
• Collaboration and mentorship: Partner with business, product, architecture, security, infrastructure, analytics, and distributed engineering teams while mentoring engineers, contractors, and analysts through design reviews, troubleshooting, onboarding, and knowledge transfer.
• Leadership communication: Develop technical documentation, operational plans, architecture diagrams, recommendations, status updates, and leadership-facing presentations as needed.

Requirements:

• 9+ years of hands-on experience in math/functional software engineering, cloud application development, platform engineering, or supply chain technology.
• Experience supporting supply chain, inventory, retail operations, merchandising, warehouse, transportation, replenishment, store operations, eCommerce, or enterprise operational data domains.
• Strong experience designing, building, and supporting production-grade analytical transformations, APIs, microservices, and cloud-native applications.
• Backend development experience using Java, Spring Boot, Spring Batch, Python, FastAPI, REST APIs, GraphQL, or similar technologies.
• Hands-on experience with cloud and analytics technologies such as GCP, BigQuery, Dataflow, Kafka, Cloud Composer/Airflow, Databricks, Snowflake, Azure Data Factory, GCS, SQL, or similar tools.
• Frontend development experience using React, Angular, Vue.js, JavaScript, HTML/CSS, or comparable modern web technologies.
• Experience with databases and analytics platforms such as BigQuery, SQL Server, MongoDB, MySQL, DB2 Azure SQL, Power BI, Looker, or similar tools.
• Experience with messaging, event streaming, and integration patterns using Kafka, MQ, Pub/Sub, API gateways, RESTful APIs, ETL/ELT, or similar technologies.
• Experience with CI/CD, DevOps, containers, monitoring, and deployment tools such as GitHub, GitHub Actions, Jenkins, Docker, Kubernetes, GKE, AKS, Maven, SonarQube, Grafana, or equivalent tooling.
• Understanding of secure enterprise deployment patterns, including load balancers, APIM, network approvals, firewalls, certificates, service accounts, role-based access, external access patterns, and production readiness reviews.
• Strong ability to analyze complex issues where data, systems, business processes, and technical dependencies require in-depth evaluation of variable factors.
• Result-oriented mindset with the ability to work independently, lead through ambiguity, collaborate in Agile teams, and support production systems when issues arise.

Preferred qualifications:

• Experience with inventory visibility, perpetual inventory, supply chain intelligence, control tower, cost-to-serve, transportation, warehouse, replenishment, merchandising, retail BI, or enterprise inventory data consumption platforms.
• Experience building GenAI solutions such as document extraction, RAG assistants, LLM orchestration, AI agents, prompt workflows, Vertex AI/Gemini applications, LangChain/LangGraph workflows, Google ADK, A2A protocol, or conversational assistants.
• Experience modernizing legacy systems, migrating pipelines or source systems, upgrading orchestration platforms, and reducing latency for high-volume data flows.
• Experience designing reusable enterprise data/API consumption patterns for multiple downstream applications, dashboards, and analytics consumers.
• Experience optimizing cloud spend, query performance, application latency, data freshness, monitoring coverage, and production uptime.
• Experience mentoring engineers, contractors, and analysts across onshore, offshore, and nearshore teams.