Jobs at Grainger

Build and modernize scalable Kotlin and Java backend services, APIs, and full-stack solutions powering product recommendations and associations. Partner with product, machine learning, frontend, and engineering teams across the software lifecycle. Lead complex projects, implement CI/CD practices, solve technical problems, mentor junior engineers, and deliver production-ready systems that improve customer product discovery.

Design, build, deploy, test, and support scalable software applications for Grainger’s Digital Identity team. Manage Auth0 configurations and integrations, support SSO connections, implement CI/CD practices, and apply authentication, authorization, and security best practices. Collaborate with engineers, architects, analysts, stakeholders, and product managers; analyze complex requirements; and mentor junior engineers.

Leads multiple software engineering teams responsible for Grainger’s cart and checkout experiences. Oversees engineering managers, delivery, reliability, security, quality, modernization, governance, and operational performance. Partners with product, architecture, UX, security, and business stakeholders to align roadmaps and customer outcomes. Develops engineering talent, manages workforce and vendor planning, promotes Agile, DevSecOps, CI/CD, AI-enabled practices, and drives continuous improvement across the software development lifecycle.

Own and evolve enterprise data products and eCommerce platform capabilities. Develop product strategy, roadmaps, requirements, and specifications; prioritize customer and stakeholder needs; guide engineering teams; coordinate launches and manage risks; present to executives; and partner with analytics, UX, product, and operations teams to deliver measurable business impact.

Design, configure, develop, deploy, and support enterprise business systems and integrations (Contracts, Sales, Supply Chain, Finance, HR). Translate business requirements into scalable technical solutions, implement Microsoft 365 and Power Platform solutions, improve reliability and performance, provide L2/L3 support, create technical documentation, and mentor junior engineers while promoting operational excellence and automation.

Design, build, test, deploy, and support scalable software applications and system integrations. Develop automation and AI-enabled solutions that reduce manual work, improve incident response, and address operational challenges. Collaborate with engineers, architects, analysts, stakeholders, and product managers; implement CI/CD and DevOps practices; analyze complex problems; and mentor junior engineers.

Leads the design, development, deployment, and automation of production-grade machine learning and optimization solutions. Builds scalable data and ETL pipelines, internal ML and ERP tools, and reusable engineering frameworks. Ensures reliability through software engineering and DevOps practices, evaluates emerging technologies, documents architectures, collaborates cross-functionally, and mentors team members. Work includes AWS, Databricks, optimization modeling, web applications, databases, orchestration, containers, and machine learning frameworks.

Supports sales teams serving large contractual customers by coordinating pricing, reporting, quotes, sourcing, account maintenance, track codes, and pre- and post-order activities. The role collaborates across departments, analyzes customer data, supports bids and RFQs, manages contractual reporting, and helps implement customer accounts and e-business integrations. Strong Excel skills, decision-making, multitasking, technological proficiency, and MRO business knowledge are required.

Configure and support SAP warehouse management systems, translate business requirements into functional solutions, lead integrations, testing, documentation, troubleshooting, and process improvements. The role partners with product owners, business users, developers, testers, and interface teams while maintaining security, compliance, and audit standards. It also serves as a subject matter expert, supports release planning, evaluates emerging technologies, and mentors junior employees across supply chain and warehouse management processes.

Supports warehouse management systems through SAP configuration, functional testing, requirements analysis, troubleshooting, documentation, and process improvement. Collaborates with product owners and business users on user stories, release planning, security, compliance, and audit standards. Focus areas include workflow optimization and Connectship/FedEx integrations. The role requires SAP warehouse management knowledge, functional specifications, test planning, process documentation, and support for scalable supply chain technology solutions.

Designs, develops, and operates scalable batch and streaming data pipelines and products. Integrates data from multiple sources, improves reliability and performance, establishes reusable engineering patterns, and supports AI, search, analytics, and machine learning workloads. Partners with technical and business stakeholders on architecture and requirements, while providing technical guidance and mentoring to less-experienced engineers.

Leads and develops a software engineering team building API, microservices, event-driven, and platform capabilities for KeepStock’s cloud transformation. Partners with product, UX, machine learning, architecture, security, and SRE teams to translate roadmaps into delivery plans. Oversees software development, testing, deployment, production support, quality, security, scalability, reliability, and performance. Establishes Agile, DevSecOps, CI/CD, AI-assisted engineering, and continuous improvement practices while coaching talent and managing team performance.

Design, architect, and implement large-scale, reliable, and secure software systems for Customer Information Management. Partner with product and architecture teams, ensure code quality, CI/CD, testing, and observability, drive operational resilience, mentor engineers, and influence cross-team technical direction.

Provides high-level administrative support to senior business leaders through calendar and meeting management, travel planning, document preparation, communications, and department resource maintenance. Coordinates domestic and international travel, manages Teams and SharePoint resources, supports onboarding and offboarding, participates in projects, and improves administrative processes. Requires strong judgment, organization, communication, proofreading, adaptability, and the ability to manage complex, non-routine details.

Leads and develops software engineering teams responsible for pricing APIs, services, and data products. Partners with product, architecture, security, platform, and business teams to deliver secure, scalable, reliable software. Oversees planning through production support, establishes Agile, DevSecOps, CI/CD, testing, and AI-assisted engineering practices, manages operational health and incident response, and drives continuous improvement for high-volume, business-critical pricing systems.

Build, configure, and support hybrid cloud and on-premises infrastructure for enterprise SAP applications. Develop automation workflows, scripts, CI/CD processes, and configuration-management standards using tools such as Ansible and Terraform. Monitor systems, establish alert thresholds and service levels, document infrastructure solutions, and optimize performance. After onboarding, provide escalated SAP Basis support, including installations, upgrades, patching, troubleshooting, and administration across SAP workloads and HANA databases.

Owns enterprise identity security architecture and multi-year strategy across workforce, customer, privileged, machine, workload, AI, cloud, SaaS, on-premises, and OT environments. Responsibilities include technology rationalization, reference architecture, authentication and authorization design, non-human identity, AI agent security, OT/ICS identity, PAM, cryptographic identity, security standards, threat detection collaboration, executive communication, and mentoring.

Leads architecture, design, implementation, and evolution of scalable backend services and APIs for customer address data. Drives technical strategy, distributed systems standards, observability, reliability, incident response, and performance optimization. Partners across engineering, product, architecture, and business teams; establishes reusable platforms and engineering practices; mentors engineers; leads design and code reviews; and contributes hands-on to complex enterprise solutions.

Designs and operates scalable batch and streaming data pipelines and AI-ready data products across Databricks, Snowflake, Kubernetes, and cloud services. Develops governed data assets, semantic models, search and retrieval capabilities, and data quality processes. Supports Snowflake Cortex and Databricks initiatives, production troubleshooting, orchestration, performance optimization, CI/CD, and observability. Partners with business and technical teams on roadmaps and adoption, evaluates AI-assisted engineering tools, mentors engineers, and establishes reusable platform patterns.

Lead and mentor a backend engineering team owning enterprise address services. Partner with product, architects, SRE, and security to deliver scalable, secure, API-first microservices, ensure quality, reliability, CI/CD practices, incident response, and continuous improvement while managing delivery, metrics, and vendor/offshore teams.