Kubernetes Architect - Data Engineering

Oakville, ON, Canada

Applications have closed

Geotab Inc.

Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.

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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 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. 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, Twitter or Facebook.
Who you are:
The Kubernetes Architect will act as a subject matter expert on Kubernetes, containers, and microservice architecture within the Data and Analytics team. This role will be a part of the Data Engineering team delivering a high degree of reliable, scalable, and secure best practices for Kubernetes infrastructure. You will be responsible for deploying, automating, maintaining and managing Google cloud based production systems for big data platforms, to ensure the availability, performance, scalability and security of productions systems.
What you'll do:
As a Kubernetes Architect, you will design and manage deployment solutions and build and configure Kubernetes clusters in Google Kubernetes Engine using standard tools such as Terraform. You will also Build best practices around Kubernetes and microservice development and help teams within Geotab and will implement these practices through documentation, workshops, etc.  You will drive the successful delivery of highly visible, complex work in support of Enterprise wide strategic initiatives. You will also play a key role in our Cloud & DevOps roadmap.

How you’ll make an impact:

  • Act as a subject matter expert on Kubernetes, containers, and microservice architecture within the Data and Analytics team.
  • Design and manage deployment solutions for multiple Kubernetes clusters, across multiple regions.
  • Build, release and configuration management of production systems. Promote productivity and delivery quality of software engineers by adopting automated pipelines and standardized templates.
  • Pre-production Acceptance Testing to help assure the quality of our products / services. 
  • System troubleshooting and problem solving across platform and application domains.
  • Suggesting architecture improvements, recommending process improvements. 
  • Build best practices around Kubernetes and microservice development, and help teams within Geotab.
  • Suggesting architecture improvements, recommending process improvements. 
  • Ensure that adequate troubleshooting tools, logging, and monitoring are implemented across all Kubernetes clusters within the organization.
  • Evaluate new technology options and vendor products. 
  • Work closely with Geotab’s DevOps team to ensure that Data Engineering infrastructure is inline with DevOps standards.

What you’ll bring to this role:

  • Post-Secondary Degree/Diploma Specialization in Computer Science, Technology, Engineering, or a related field.
  • Professional certification in Google Cloud Certified, Professional Cloud Architect, AWS Certified Cloud Practitioner, or MCSA Windows Server Certification highly valued.
  • 3+ years of experience with Kubernetes\OpenShift , Istio,Helm, container technologies such as Docker, containerd, rkt.
  • 2+ years’ experience with using a broad range of Google technologies (e.g. GCS, VPC, IAM, KMS, Cloud Shell, Cloud Run, BigQuery, Cloud Pub/Sub, Dataproc, App Engine) to develop and maintain an Google Cloud Platform based cloud solution, with an emphasis on best practice HA, scalability and cloud security. 
  • Solid experience as a DevOps Engineer/Solutions Architect in a 24x7 uptime Google GCP environment, including automation experience with configuration management tools.  Proficient in building, releasing and configuring large-scale distributed systems in microservices architecture.
  • Experience with Hashicorp tools such as Terraform and Vault is nice to have.
  • Experience with CI/CD tools such as Gitlab CI/CD or Jenkins is required.
  • Strong scripting (e.g. Python, Shell script, Ansible) and automation skills are required.
  • Familiarity with Big Data Technologies, architecture of message brokers such as Apache Kafka, architecture of computation engines and frameworks such as Spark, Flink, Storm, etc.
  • Experience on monitoring and configuring one of such clusters and experience with reliability assurance of large-scale distributed systems.
Why job seekers choose Geotab:
Work from home and flex work arrangementsBaby bonusHome office reimbursement programOnline learning and networking opportunitiesElectric vehicle purchase incentive programCompetitive medical and dental benefits (full-time employees only)Retirement savings program (full-time employees only)

How we work:
At Geotab, we understand that the world is always changing and that we need to change with it. Geotab has adopted a hybrid model for working, including a flexible work from home program, with the opportunity to work in our safe, clean offices. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Remote 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!
Geotab encourages applications from all qualified candidates. Geotab is committed to accommodating persons with disabilities throughout the interview, selection and employment process. If you require accommodation at any stage of the application process or want more information about our accommodation policies and practices, please contact us at careers@geotab.com.

Tags: Ansible AWS Big Data BigQuery CI/CD Computer Science Data Analytics Dataproc DevOps Distributed Systems Docker Engineering Flink GCP GitLab Google Cloud Helm Kafka Kubernetes Machine Learning Microservices Pipelines Python Security Spark Terraform Testing

Perks/benefits: Career development Flex hours Health care Team events

Region: North America
Country: Canada
Job stats:  6  0  0

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