Senior Data Platform Developer - Infrastructure

Geotab•Atlanta, GA

9d•Hybrid

About The Position

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.