Senior Sales Engineering Specialist - Kubernetes, Docker & Containerization
F
Fivetran Data Integration
Remotely in the United StatesFull-TimeSenior
Salary240337 - 300421 USD per year
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Job Details
- Experience
- 2+ years
- Required Skills
- AWSDockerBusiness IntelligenceCloud ComputingGCPKubernetesAzureSaaSGenerative AINetworking
Requirements
- 2+ years of extensive work with Kubernetes or Docker, and/or other container technologies
- Hands-on expertise with modern cloud, on-premise, and hybrid-cloud data architectures and connectivity mechanisms
- Strong analytical and problem-solving skills, particularly in the context of containerized architectures
- Passion for secure, scalable data pipelines
- Curiosity to learn and assimilate technical information quickly
- Enthusiasm to share and teach others
- Deep understanding of Kubernetes, Docker, and Podman
- Knowledge of Fivetran's data integration platform, deployment and connectivity methods, and automation/abstraction technologies
- Experience with AWS, Azure, and Google Cloud Platform, especially EKS, AKS, and GKE
- Understanding of networking considerations in cloud platforms
- Knowledge of databases, high availability, SaaS applications and their APIs, GenAI architectures, cloud data warehouses, business intelligence
Responsibilities
- Work closely with sales and field sales engineering teams to accelerate understanding of the value of Hybrid Deployment model.
- Work cross-functionally with SRE and Product teams to ensure comprehensive support for Hybrid Deployment mechanisms and services.
- Create, secure, network, and validate containerized hybrid deployment data pipeline architectures.
- Work closely with Fivetran's Product and engineering teams to ensure Hybrid Deployment capabilities are fit for purpose, secure, cost-effective, and well implemented.
- Stay up-to-date on the latest technologies and trends in containerization, security, autoscaling and secure data management.
- Teach, enable, and coach peers at Fivetran on the virtues and techniques of Hybrid Deployment and how to deliver its value to customers.
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