Resilinc is looking to solve supply chain problems by pioneering intelligent, autonomous systems powered by Agentic AI. The goal is to enable global enterprises to predict disruptions, assess impact instantly, and take real-time action before operations are affected, protecting critical goods and life-saving products.
Requirements
- 3+ years’ experience designing and implementing distributed systems, cloud-based API services, and enterprise cloud data platforms
- Proficiency in Python
- Expertise in applying machine learning to supply chain or adjacent domains
- Experience with Ray or similar distributed computing frameworks for machine learning workloads
- Knowledge of PostgreSQL, Databricks, and other SQL-based database technologies
- Background in data warehouse or data lake architecture and handling large-scale data processing projects
Responsibilities
- building and scaling AI-powered, data-intensive platforms
- designing new features
- optimizing distributed systems
- ensuring rock-solid performance for mission-critical applications
- enhancing APIs
- scaling workflows
- tackling challenges around fault tolerance, high availability, and large-scale data processing
Other
- Participate in customer discussions to address challenges in risk and compliance
- Create novel solutions to customer challenges in a collaborative, iterative fashion
- Collaborate with core product and engineering team to drive alignment around emerging customer needs
- Exceptional customer-facing skills – can translate complex technical information to a non-technical audience
- Degree in computer science or a related technical field or equivalent work experience
