Data Platform Developer - Infrastructure

Geotab•Atlanta, GA

10h•Hybrid

About The Position

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. 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 support the existing big data infrastructure on Google Cloud Platform, ensuring data is continuously and promptly available for analysis by the data science team. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you! As a Senior Data Platform Developer, your key area of responsibility will be devising new methodologies and infrastructure for reconstructing and enriching data at scale, while supporting internal users who leverage the big data environment to upload additional data sets. You will need to work closely with team leads, other developers, security, and Cloud Architecture & Engineering (CAE) teams to design and implement Big Data infrastructures on cloud at Geotab.

Requirements

Post-secondary Degree specialization in Computer Science, Software/Computer Engineering, or a related field.
5-8 years of experience in Software Development, Data Engineering, or a similar infrastructure role.
5+ years of experience developing production-level systems using Java and Spring frameworks.
3+ years of experience in designing, building, and maintaining application containerization (e.g., Docker, Kubernetes, or OpenShift).
Proficiency in scripting languages such as Python or Bash.
Strong understanding of cloud environments (GCP, AWS, or Azure) and data management fundamentals.
Strong team player with an entrepreneurial mindset and the ability to problem-solve through well-judged decisions.

Nice To Haves

Experience with Golang, Terraform, or Argo is a significant plus.

Responsibilities

Design and implement the underlying infrastructure and network architecture for Geotab's big data infrastructure.
Collaborate with development teams, security, and Cloud Architecture & Engineering (CAE) teams to integrate industry best practices and security standards.
Design, implement, and maintain logging, monitoring, and alerting services to ensure the health of Geotab’s big data infrastructure.
Perform quality assurance analysis by performing peer review, ensuring coding standards are followed, and identifying performance improvements or bug fixes.
Analyze call stacks, trace files, and performance data to troubleshoot and identify the root cause of bugs.
Assist with the development and maintenance of data engineering guidelines, policies, standards, and processes.
Mentor other team members toward technical expertise and participate in a 24x7 on-call rotating schedule as required.