Software Developer at Geotab

Oakville, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

IoT, Connected Transportation, Fleet ManagementIndustries

Requirements

2+ Years of experience as a Software Developer using object-oriented programming to build scalable, enterprise applications (C# preferred)
Experience developing in a Linux environment, using C# and .Net Core
Experience with optimization and multithreaded programming (for back end and full stack teams)
Kubernetes Knowledge: Understanding of Kubernetes architecture, components, and operations
Skilled in the use of current programming languages and tools (backend and/or front end)
Demonstrated experience building reliable, large scale applications
Ability to complete assignments independently or in a team environment
Passion for building robust software that functions 24/7 with no downtime

Responsibilities

Define, design, and implement new software applications in collaboration with other members of the development and technical teams, based on industry standards and best practices
Translate application storyboards and use cases into functional applications
Perform Test-Driven and Security-Driven Development
Conduct comprehensive code reviews and ensure that coding standards are followed
Analyze call stacks, trace files, debug logs or performance data to troubleshoot and identify the root cause of bugs
Participate in development of prototypes, minimum viable products and PoCs
Help maintain code quality, organization and automation
Perform maintenance programming for existing applications
Consider the functionality, performance, scalability, reliability, realistic implementation schedules and system architecture for each assignment
Provide design documents and documentation to ensure efficient maintenance and code reuse
Provide recommendations for improvements in the overall development process
Participate in a 24x7 on-call rotating schedule
Write high-performance C# code and SQL queries to process and store telematics data in real-time

Skills

Software Development

Backend Development

Frontend Development

Large Scale Applications

Programming Languages

Data Analytics

Machine Learning

Geotab

Telematics and fleet management solutions provider

About Geotab

Geotab provides fleet management solutions that help businesses optimize their vehicle operations through telematics and data analytics. Their products include hardware devices, like GO devices, and software that collects and analyzes vehicle data. This data helps clients with route planning, monitoring driver behavior, improving fuel efficiency, and managing vehicle maintenance. Geotab stands out from competitors by offering a scalable platform suitable for fleets of all sizes and a subscription model that ensures ongoing updates and support. The company's goal is to enhance operational efficiency and safety for a diverse range of clients, including commercial fleets and government agencies.

Oakville, CanadaHeadquarters

2000Year Founded

M_AND_ACompany Stage

Data & Analytics, Automotive & TransportationIndustries

1,001-5,000Employees

Benefits

Medical & dental

Retirement savings

Fitness membership

Baby bonus

Flex work arrangements

Home office reimbursement for select items

EV program

Learning reimbursement

Risks

Patent infringement lawsuit by Fractus could lead to financial liabilities.

Dependency on Volvo Cars partnership may pose risks if challenges arise.

Expansion into Indonesia exposes Geotab to geopolitical and regulatory risks.

Differentiation

Geotab offers a comprehensive telematics platform with both hardware and software solutions.

The company serves diverse clients, including commercial fleets and government agencies.

Geotab's solutions are scalable, suitable for small businesses to large enterprises.

Upsides

Geotab's partnership with Volvo Cars enhances its fleet management capabilities.

Winning the Prince Michael International Road Safety Award boosts Geotab's reputation.

Integration of AI in telematics allows for predictive analytics and route optimization.

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