Fivetran
Fivetran23d ago
USD 192270-240337/yr

Senior Sales Engineering Specialist - Kubernetes, Docker & Containerization

Remote, California, United States, AMERRemotesenior
SalesOtherDevOps & InfrastructureSales EngineerEngineering Specialist
4 views0 saves0 applied

Quick Summary

Overview

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses,

Technical Tools
SalesOtherDevOps & InfrastructureSales EngineerEngineering Specialist

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented presales individual with deep expertise in containerization to join our global sales engineering specialist team. As a Sales Engineering Specialist focused on our Hybrid Deployment architecture, you will work closely with our sales and field sales engineering teams to accelerate our customers’ and prospects’ understanding of the value of our Hybrid Deployment model, an architecture steeped in containerization, Kubernetes, Docker and Podman. In addition, you will be tasked with working cross-functionally with our SRE and Product teams to ensure comprehensive support for Hybrid Deployment mechanisms and services.

This is a full-time position based remotely in the United States.

Technologies You’ll Use

In this role, you will be expected to have a deep understanding of the following technologies:

  • Container management software including Kubernetes, Docker, and Podman.
  • Fivetran's data integration platform, deployment and connectivity methods, and automation/abstraction technologies for infrastructure creation and management.
  • Cloud computing platforms such as AWS, Azure, and Google Cloud Platform, especially their Kubernetes managed services Amazon Elastic Kubernetes Service, Azure Kubernetes Service, and Google Kubernetes Engine. Plus, the networking considerations that arise working with these technologies.
  • Other data architecture considerations critical to our customers’ success: databases, high availability, SaaS applications and their APIs, GenAI architectures, cloud data warehouses, business intelligence, etc.

What You’ll Do

  • Create, secure, network, and validate containerized hybrid deployment data pipeline architectures in conjunction with our customers, account executives, and field sales engineering teams, for maximum scalability and security.
  • Work closely with Fivetran’s Product and engineering teams to ensure our 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 your peers at Fivetran on the virtues and techniques of Hybrid Deployment and how to deliver its value to customers.

Skills We’re Looking For

  • 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, preferably in customer contexts.
  • Passion for secure, scalable data pipelines.
  • Curiosity to learn and assimilate technical information quickly, enthusiasm to share and teach others.

This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings.

#LI-Remote #LI-MT2

The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.

Pay Range
$192,270$240,337 USD
OTE (On Target Earning)
$240,337.50$300,421.25 USD

 

What We Offer

~2 min read
100% employer-paid medical insurance*
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

Location & Eligibility

Where is the job
Worldwide
Fully remote, anywhere in the world
Who can apply
Same as job location
Listed under
Worldwide

Listing Details

Posted
April 11, 2026
First seen
April 10, 2026
Last seen
May 5, 2026

Posting Health

Days active
24
Repost count
0
Trust Level
51%
Scored at
May 5, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Fivetran
Fivetran
greenhouse

Fivetran redefined the data pipeline. Shaped by the needs of analysts, our fully managed pipelines enable data-backed decisions company-wide by delivering ready-to-query data into your cloud warehouse.

Employees
350
Founded
2012
View company profile
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FivetranSenior Sales Engineering Specialist - Kubernetes, Docker & ContainerizationUSD 192270-240337