Lead Data Platform Developer - AI Platform

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Singapore, SGP
In-Office or Remote
Expert/Leader
Information Technology • Internet of Things • Software
The Role
Lead architecture, design, and development of a scalable ML and generative AI data platform. Build infrastructure to process structured and video telematics data, support model training and LLM access, implement logging/monitoring, integrate with cloud and Big Data systems, document architectures, support integrations, and mentor engineers.
Summary Generated by Built In
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 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! 

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).

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.
 
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 [email protected]. 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.

Skills Required

  • Post-secondary degree in Computer Science, Software or Computer Engineering or related field.
  • 10+ years experience in a software developer or similar role, including developing production-level systems using Python 3.
  • 3-5 years experience managing and developing teams.
  • Experience developing and maintaining production services in GCP, AWS, or Azure.
  • Experience designing, building and maintaining application containerization such as Docker, Kubernetes, or OpenShift.
  • Knowledge of AI/ML platforms such as Ray, Vertex AI, Bedrock, and familiarity with Google BigQuery.
  • Knowledge of fine-tuning and self-hosting vision large language models and generative AI frameworks (Langgraph, CrewAI, LiteLLM).
  • Strong technical mentorship capabilities, code review experience, and performance optimization skills.

GEOTAB Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GEOTAB and has not been reviewed or approved by GEOTAB.

  • Healthcare Strength Coverage includes medical, dental, vision, life, disability, and an EAP as part of a comprehensive core package. U.S. offerings are presented as competitive and consistently paired with other core protections.
  • Retirement Support Offerings include a 401(k) with company match in the U.S., with RRSP or pension alternatives in other regions. Retirement savings support is treated as a standard component of total rewards.
  • Parental & Family Support A distinct “baby bonus” for birth or adoption stands out among family‑focused perks. Certain postings and summaries also reference parental leave top‑ups and related supports.

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The Company
HQ: Oakville
Year Founded: 2000

What We Do

Welcome to Geotab, the #1 commercial telematics company in the world. Geotab is a place where passion, creativity and innovation align. We are committed to advancing technology, empowering businesses and making the roads safer for everyone. Geotab is the world’s leading connected vehicle company for fleets, providing open platform fleet management solutions to businesses of all sizes. Geotab’s intuitive, full-featured solutions are used by over 40,000 customers around the world to help them better manage their drivers and vehicles. With Geotab devices found in over 2 million vehicles, the company processes over 30 billion data points each day to provide insight into productivity, safety, fuel efficiency and more. Geotab’s employees are essential to our success! We strive to put our employees first and are constantly seeking ways to improve workplace culture. Maintaining our unique culture is vital - after all, staff that enjoy their work environment are motivated to reach their full potential. Employee growth and development has long been the basis of our philosophy, as staff are encouraged to carve their own path within the expanding organization. Challenging the status quo and seeking creative ideas is what we do best.

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