Lead Data Platform Developer

What you'll do:

As a Lead Data Platform Developer your key area of responsibility will be leading the architecture, design, and development of our data platform, ensuring scalability, robustness, and efficient processing of both structured and video data at scale. You will need to work closely with cross-functional teams, stakeholders at all levels, and engineers across the organization.

To be successful in this role you will be an enthusiastic, entrepreneurial self-starter with an open mindset who thrives in a flat organizational structure, exhibits exceptional communication and collaboration skills, and can effectively manage multiple projects while maintaining clear focus and direction. In addition, the successful candidate will have strong technical mentorship capabilities, advanced problem-solving skills for complex root cause analysis, and a proven ability to evaluate, select, and adopt emerging data platform technologies.

How you'll make an impact

• Architect, design, and develop scalable data platforms using cutting-edge technologies like Kubernetes, Apache Flink, and Ray.
• Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
• Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure.
• Develop processes to enrich Geotab’s big data with telematics data at scale.
• Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
• Create and maintain documentation for architecture, requirements, and process flows.
• Support internal Geotab teams to assist with data integration with newly developed AI platforms.
• Provide technical mentorship to junior and senior team members, conduct detailed code reviews, and lead performance optimization initiatives.

What you'll bring to the role

• Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
• 10+ years experience in a software developer or a similar role, including developing production-level systems using Python 3.
• 3-5 years experience managing and developing teams.
• Experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
• Experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
• Knowledge of fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
• Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).