Staff POT Engineer

Sorry, this job was removed at 12:18 p.m. (CST) on Wednesday, Feb 25, 2026
Hiring Remotely in Dallas, TX
In-Office or Remote
Big Data • Cloud • Software
The Role

Would you like to be part of a rapidly growing and dynamic company focused on delivering leading-edge solutions in the areas of Digital Transformation, Cloud Migration, Database Modernization, and Test Data Management? Do you have the personal drive, leadership skills, and technical background necessary to help establish K2View as a leader in data management?

As a Staff POT Engineer, you as part of pre-sales team and will be involved in execution of  Proof of Technology projects for enterprise customers for multiple accounts to support and secure technical win. 

If you are the ideal candidate, you possess both an extensive technical background and have great communication skills.

Roles and Responsibilities

  • Actively participate in the Prove of technology implementation lifecycle.
  • Gain extensive knowledge of K2VIEW products and technologies used by the product
  • Advise team members on best approaches and new features of K2VIEW products.
  • Understand the approach and design decisions to manage implementation POTs effectively.
  • Use and follow the company's best practices for project implementation.
  • Own complex POT implementations tasks.
  • Work with other team members of the team, mentoring, as necessary.
  • In case of mutual POT development with customer team guide and provide day-to-day directions to the team
  • Working closely with Sales Engineers to make sure that POT implementation meeting the technical success criteria’s
  • Architect solutions and solve technical challenges
  • Provide visibility and communicate delivery targets
  • 10% travel to customer site (domestic and international).
  • Should be able to have 3 hours overlap with Central time zone

Basic Qualifications

  • B.SC. Information system, Computer Science, or equivalent experience.
  • 6+ years of development experience.
  • Advanced design solution knowledge with at least 3 years of experience.
  • Strong technical skills, ability to lean and suggest on new technologies
  • Autodidact, creative, passionate, self-starter with a can-do attitude, and entrepreneurial spirit.
  •  Strong Java knowledge
  • Advanced SQL knowledge.
  • Advanced Knowledge of Linux/Unix operating system.
  • Advanced understanding of scalable, distributed system architectures.
  • Team player who can build strong relationships with peers and company stakeholders.
  • Good communication skills – verbal and written.
  • Experience with test data management tools – advantage
  • 2+ years of k2view Fabric and Broadway experience
  • 3+ years customer facing experience.

Preferred Qualifications

  • Good understanding of scalable, distributed system architectures.
  • Good understanding of Enterprise software back-end architectures.
  • Experience in execution of POCs/POTs and demos for B2B software sale.
  • Experience in data hub deployment (including microservice layers).
  • NoSQL knowledge.
  • HTML/CSS knowledge.

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The Company
Dallas, TX
207 Employees
Year Founded: 2009

What We Do

At K2View, we believe that every company should be able to liberate and elevate its data to deliver the most personalized and profitable customer experience in its industry, while being innovative and radically agile.

With K2View, companies manage data in a whole new way, using a business lens: they create data products that continually sync, transform, and serve data from siloed source systems – delivering a real-time, holistic view of any business entity to any data consumer.

Our Data Product Platform fuels operational and analytical workloads, at enterprise scale. It deploys on premises or in the cloud, in a matter of weeks, and adapts to change on the fly.

The most data-intensive companies in the world, including AT&T, Verizon, American Express, Vodafone, and Hertz trust K2View Data Fabric for their operational use cases - spanning Customer 360, cloud migration, test data management, data tokenization, and legacy application modernization.

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