Jobs and Careers

Senior IT Cloud Operations Engineering Specialist (Remote)

Remote - US, United StatesRemotefull_timeVerifiedPosted 17 Oct 2024

💰 $155,400/yr($88,400/yr – $155,400/yr)

About the role

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. Join our talent network to learn more about job opportunities and company news.

Who you are:

The Senior IT Cloud Operations Engineering Specialist is integral in the ongoing evolution and reinforcement of Geotab's complex, globally distributed cloud infrastructure. You will uniquely navigates the intersection of innovation and stability, leading the charge in strategic infrastructure development to ensure the seamless integration and optimization of Geotab’s SaaS solution. Central to this role is the refinement of existing systems and the implementation of advanced methodologies for automation, prioritizing system performance, scalability, and resilience while upholding paramount considerations for cost efficiency and robust security measures. If you really love automation, be passionate about managing information security, and keen to join a leading-edge technology firm – if you feel like we have described you, then we would love to hear from you!

What you'll do:

As a Senior Cloud Operations Engineering Specialist, you will be responsible for supporting high-transaction, globally distributed cloud infrastructure and developing infrastructure for deploying and managing Geotab’s SaaS solution. Working closely with Technical Services teams, this role requires strong technical knowledge in cloud technologies, server operations, network protocols, and technical architectures. Responsibilities include maintaining cloud operations with a focus on servers and infrastructure management, cost optimization, and security. The role involves refining existing systems and implementing advanced methodologies for automation, prioritizing system performance, scalability, and resilience while considering cost efficiency and robust security measures. Additionally, the role incorporates AI into cloud operations to enhance automation, optimize performance, and ensure scalable and resilient infrastructure.. You will provide proactive support 24/7 for production and disaster recovery data center operations.

How you'll make an impact

Implement automated deployment strategies for patches and upgrades to reduce downtime and ensure a seamless update process.
Develop predictive monitoring systems using AI/ML algorithms to proactively troubleshoot issues in high availability environments.
Implement new and optimize existing infrastructure as code (IaC) practices to automate server provisioning and configuration, ensuring scalability and rapid deployment.
Implement comprehensive data governance frameworks using advanced monitoring tools and AI-driven analytics to optimize data flow across multiple environments.
Establish self-healing mechanisms and fault-tolerant architecture to minimize manual intervention during outages and ensure quick recovery.
Introduce machine learning models to predict resource lifecycle needs, optimizing provisioning, decommissioning, and maintenance activities.
Employ advanced data visualization techniques and predictive analytics to generate real-time, interactiv