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Geotab

Senior Data Platform Developer - AI Platform

Waterloo, ON, Canada

Pay: Hiring Range: $104,400 CAD - $135,700 CAD
Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

Who we are: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. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior 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!

What you'll do:

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab’s data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact

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.

What you'll bring to the role

Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
3-5 years experience in a software developer or a similar role.
3-5 years experience in developing production-level systems using Python 3.
3-5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
1-5 years 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.
Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph is highly preferred.
Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. Why job seekers choose Geotab

Flex working arrangements Home office reimbursement program Baby bonus & parental leave top up program Online learning and networking opportunities Electric vehicle purchase incentive program Competitive medical and dental benefits Retirement savings program

*The above are offered to full-time permanent employees only

How we workAt 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. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.

Hiring Range: $104,400 CAD - $135,700 CAD

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More about this job

Responsibilities

Develop and maintain machine learning platforms and generative AI applications and agents, including infrastructure for logging, monitoring, alerting, and large-scale telematics data enrichment. Collaborate with data scientists and internal teams on data processing and integration, and maintain architecture, requirements, and process-flow documentation.

Requirements

A post-secondary degree in computer science, software or computer engineering, or a related field is required, along with 3–5 years of software development experience and production-level Python and cloud services experience. The role also seeks experience with containerization and knowledge of AI/ML platforms, big data environments, and generative AI frameworks; experience with vision LLM fine-tuning and self-hosting is a plus.

Skills

Python
Machine Learning
Generative AI
Large Language Models
Cloud Services
Docker
Kubernetes
OpenShift
LangGraph
CrewAI
LiteLLM
Ray
Vertex AI
Amazon Bedrock
Google BigQuery
Data Integration

Benefits

Flexible Working Arrangements
Home Office Reimbursement
Baby Bonus
Parental Leave Top-Up
Online Learning Opportunities
Networking Opportunities
Electric Vehicle Purchase Incentive
Medical Benefits
Dental Benefits
Retirement Savings Program

Visa sponsorship

Not detected in the job text

Keywords

Python 3
Machine Learning
Generative AI
Large Language Models
Vision Models
Fine-Tuning
Self-Hosting
LangGraph
CrewAI
LiteLLM
OpenSpec
Ralph
Agent Sandbox
Sourcegraph
Ray
Vertex AI
Amazon Bedrock
Google BigQuery
Google Cloud Platform
Amazon Web Services
Microsoft Azure
Docker
Kubernetes
OpenShift
Big Data
Telematics Data
Data Integration
Logging
Monitoring
Alerting

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