AI Platform Lead Engineer - Hybrid, Scalable ML Systems

Grainger; Chicago (IL); Hybride; USD 134 000 - 224 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision and life ins.

PTO 18 days per year + 6 holidays

401(k) with employer match 6%

Employee discounts and tuition relief

Free financial counseling and planning

Résumé du poste

Grainger is seeking a Lead Software Engineer (Software Engineer IV) to drive the design and delivery of scalable AI-enabled platforms. You will mentor engineers, collaborate with product teams, and shape the architecture of secure, reliable systems across AWS, Kubernetes, and cloud-native stacks.

You will help create self-service AI/ML capabilities and infrastructure automation, ensuring high performance, reliability, and security while advancing Grainger’s AI initiatives.

Qualifications

• Bachelor's degree or equivalent in computer science or related discipline.
• 5+ years of software engineering experience across modern environments.
• Expert-level programming knowledge and strong fundamentals.
• Distributed system design, integration patterns, and cloud-native architectures.
• Familiarity with Agile/Scrum and DevOps practices.
• Experience with Python, Golang, or similar languages.
• Experience with AWS and containerized/distributed workloads.
• Kubernetes production experience.
• Infrastructure-as-code and deployment automation (Terraform, Helm, Ansible).
• CI/CD/GitOps tooling (GitHub Actions, Argo CD).
• Experience supporting ML platforms or ML workloads.

Responsabilités

• Lead engineering efforts for highly complex software applications.
• Influence adoption of engineering best practices and defaults.
• Mentor engineers and lead knowledge-sharing sessions.
• Maintain and support production systems; triage and resolve issues.
• Partner with IT leadership, architects, product teams, and engineers for solution design.
• Design, build, and operate self-service AI/ML platform capabilities.
• Develop cloud-native platform services and automation for AI workloads.
• Collaborate across teams to define reusable patterns and standards.
• Present findings, risks, and recommendations to stakeholders.
• Drive DevOps and GitOps practices for reliability and scalability.

Connaissances

Distributed systems

Agile/Scrum

Mentoring

Problem solving

Communication

Formation

Bachelor's Degree in Computer Science or related field

Outils

AWS

Kubernetes

Terraform

Helm

Ansible

GitHub Actions

Argo CD

Description du poste

Grainger is seeking a Lead Software Engineer (Software Engineer IV) to drive the design and delivery of scalable AI-enabled platforms. You will mentor engineers, collaborate with product teams, and shape the architecture of secure, reliable systems across AWS, Kubernetes, and cloud-native stacks.

You will help create self-service AI/ML capabilities and infrastructure automation, ensuring high performance, reliability, and security while advancing Grainger’s AI initiatives.