Data/AI Workflow Infrastructure Engineer

Play a role in advancing the most sophisticated and scalable retail-facing AI systems in existence! Implement systems to deliver an optimal user experience across the latest groundbreaking technology for real-time logistics insights, machine learning, natural language processing and artificial intelligence.

• Expertise with distributed systems and traffic routing.
• Experience working in all layers of network communications protocols.
• Proven track record to use languages like Go, Python, or similar to simplify sophisticated problems.
• Knowledge of Linux, containerization systems, and public cloud infrastructure.
• Working understanding of Kubernetes operations and administration.
• Working on real-time I/O architectures with AI and statistical analysis.

As a member of the AI/ML Production Engineering Team, you will contribute to systems that provide services for many retailers. By focusing on optimal traffic selections, service reliability, and business continuity, you will be responsible for ensuring no data go unanalyzed - in real-time. Advocate for and mentor staff in operations best practices such as repeatability, observability, and monitoring.

Bachelor’s degree in engineering, computer science or related field, or equivalent work experience.

• Superb interpersonal skills, project prioritization, and ability to discern signal from noise.
• Expertise in managing distributed system observability, including health, telemetry, and logs.