Software Developer in Test (Europe — Remote)

Reposted One Month Ago
Hiring Remotely in Foster City, CA, USA
In-Office or Remote
Mid level
Software
GridGain is the leading unified real-time processing platform for today's real-time data-driven applications.
The Role
Responsible for developing an internal testing framework, creating test utilities, automating tasks, and enhancing testing processes within the QA team.
Summary Generated by Built In

Software Developer in Test 
LOCATION: remote — Portugal, Cyprus, Poland, Spain, Georgia, Serbia, Armenia and other.

ABOUT GRIDGAIN

We live in a world that increasingly expects instant gratification. To remain competitive, enterprises must process and analyze extraordinary amounts of information in milliseconds.

GridGain's Unified Real-Time Data platform enables a simplified and optimized data architecture for enterprises that require extreme speed, massive scale, and high availability from their data ecosystem. It seamlessly combines streaming data in-motion and historical data at-rest with compute functionality to help companies handle complex analytical, streaming, and transactional data workloads at ultra-low latencies.

GridGain is trusted by companies like Citi, Barclays, American Airlines, AutoZone, and UPS to manage mission-critical data operations across their businesses.

GridGain is growing! Join the team and play a critical role in a fast-paced Silicon Valley startup that's changing the definition of "real time," and the world's expectations for high-speed data processing, computation, and analytics.

 

ABOUT THE ROLE

GridGain is looking for a Software Developer in Test to join our growing QA team.

 

REQUIRED JOB DUTIES

 

  • Develop the internal testing framework (written in Java and partly open source).
  • Create new test utilities and internal services.
  • Automate routine tasks to simplify life for yourself and your colleagues.

 

ESSENTIAL SKILLS AND REQUIREMENTS

  • At least 4 years of experience in test automation using Java.
  • Deep understanding of testing processes.
  • Unit testing and refactoring skills.
  • Experience with Git, IntelliJ IDEA.
  • Ability to work with Linux, Mac, Windows operating systems.
  • Basic knowledge of SQL (you can write small queries with multiple joins and filter out unnecessary data).
  • English — upper-intermediate or higher.

The following will be a strong plus

  • Experience with NoSQL and/or distributed databases. Especially if it was Apache Ignite™.
  • Experience in testing or deep working with distributed systems.
  • Willingness to deal with complex cases, even when others have already refused.
  • Ability to explain complex ideas to yourself and colleagues from R&D in simple words.
  • Expert level of working with Java ecosystem.

 

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, sex, age, national origin or disability.

Skills Required

  • At least 4 years of experience in test automation using Java
  • Deep understanding of testing processes
  • Unit testing and refactoring skills
  • Experience with Git and IntelliJ IDEA
  • Ability to work with Linux, Mac, Windows operating systems
  • Basic knowledge of SQL
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The Company
HQ: Palo Alto, CA
118 Employees
Year Founded: 2010

What We Do

GridGain is a unified real-time data platform. It enables a simplified and optimized data architecture for enterprises that require extreme speed, massive scale, and high availability from their data ecosystem. GridGain’s distributed memory-first architecture and colocated compute deliver data processing and analytics at millisecond latencies, with configurable disk-based persistence for added durability. Horizontally scalable clusters can be deployed both on-premises and natively in public or private clouds, empowering companies to handle even the most demanding workloads in multi, hybrid, and inter-cloud environments. GridGain is trusted by companies like Citi, Barclays, American Airlines, AutoZone, and UPS to accelerate their existing applications, speed operational analytics and fraud detection, train machine learning models for AI, and provide fast-access data hubs.

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