Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives
Make decisions in developing standard and companywide best practices for engineering and technology solutions
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues
Lead projects, teams, or serve as a peer mentor
Architect and deploy AI platforms on-premises and in GCP, ensuring scalability, reliability, and performance
Provision and design optimized GCP cloud infrastructure using tools such as Terraform to support AI workloads
Monitor and optimize the performance of AI platforms, identifying and resolving bottlenecks
Create and maintain comprehensive documentation for AI platform architecture

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience in platform engineering, with a focus on AI/ML technologies
3+ years of experience with AI/ML frameworks and tools (e.g., Spark, PyTorch, Kubernetes, Docker)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringplatform engineeringAI/ML technologiesAI/ML frameworksSparkPyTorchKubernetesDockercloud infrastructureTerraform

Soft Skills

leadershipcollaborationconsultationmentoringproblem-solvingdecision-makingcommunicationdocumentation