Lead Data Platform Developer - AI Platform

About the Company

Geotab ® is a global leader in IoT and connected transportation and certified "Great Place to Work™." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab.

Role Overview

Geotab is seeking a Lead Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader — we would love to hear from you!

Responsibilities

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.

Requirements

• 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.

Nice-to-Haves

• 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).

How We Work

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com.