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Remote Java Developers Jobs in Tyler, TX (NOW HIRING)

By joining KIBO, you will be part of a team of Kibonauts all over the world in a remote-friendly ... NET/C# or Java. * Enhance and maintain the UI automation framework built with Playwright and ...

Remote Java Developers information

See Tyler, TX salary details

$14

$53

$72

How much do remote java developers jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote java developers in Tyler, TX is $53.43, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $59.81 per hour, depending on experience, location, and employer.

What is the difference between Remote Java Developers vs Remote Software Engineers?

AspectRemote Java DevelopersRemote Software Engineers
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science or related field, various programming certifications
Work EnvironmentPrimarily focused on Java-based projects, often in enterprise settingsBroader scope including multiple programming languages and platforms
Employer & Industry UsageTech companies, financial institutions, startups using JavaTech firms, startups, and enterprises across industries
Search & Comparison IntentSpecific to Java development rolesBroader software development roles including Java

Remote Java Developers specialize in Java programming, working mainly on Java-based applications within enterprise or startup environments. Remote Software Engineers have a broader skill set, often working across multiple languages and platforms. While Java Developers focus on Java-specific tasks, Software Engineers may handle diverse development projects. Both roles are in high demand, but Java Developers are more niche-specific.

What cities near Tyler, TX are hiring for Remote Java Developers jobs? Cities near Tyler, TX with the most Remote Java Developers job openings:
Software Engineer (SDET)

Software Engineer (SDET)

Kibo Commerce

Chandler, TX • Remote

Other

Posted 16 days ago


Job description

ABOUT THIS ROLE

As a Software Development Engineer in Test, you will join our team as a hands-on developer that is passionate about quality and focused on building test automation directly into the development workflow. As an embedded member of a development squad, you will write tests alongside production code and own the reliability of the features you ship. You will combine an engineering mindset with a deep focus on quality while leveraging the power of Generative AI to enhance and transform our workflows.

ABOUT KIBO

 KIBO is a composable digital commerce platform for B2C, D2C, and B2B organizations who want to simplify the complexity in their businesses and deliver modern customer experiences. KIBO is the only modular, modern commerce platform that supports experiences spanning B2B and B2C Commerce, Order Management, and Subscriptions. Companies like Ace Hardware, Zwilling, Jelly Belly, Nivel, and Honey Birdette trust KIBO to bring simplicity and sophistication to commerce operations and deliver experiences that drive value.
KIBO's cutting-edge solution is MACH Alliance Certified and has been recognized by Forrester, Gartner, IDC, Internet Retailer, and TrustRadius. KIBO has been named a leader in The Forrester Wave™: Order Management Systems, Q1 2025 and in the IDC MarketScape report “Worldwide Enterprise Headless Digital Commerce Applications 2024 Vendor Assessment”.
By joining KIBO, you will be part of a team of Kibonauts all over the world in a remote-friendly environment. Whether your job is to build, sell, or support KIBO’s commerce solutions, we tackle challenges together with the approach of trust, growth mindset, and customer obsession. If you’re seeking a unique challenge with amazing growth potential, then come work with us!

WHAT YOU’LL DO

  • Design and build automated unit and integration tests directly within the core codebase using .NET/C# or Java.
  • Enhance and maintain the UI automation framework built with Playwright and TypeScript.
  • Design and maintain test data strategies for microservices including isolated setup, deterministic seeding, and reliable teardown.
  • Leverage containerization technologies like Docker and Testcontainers to create isolated, on-demand test environments.
  • Use Generative AI tools to transform workflows ranging from test case generation to optimizing automation scripts and reports.
  • Integrate automated test suites into CI/CD pipelines to ensure seamless quality checks and own pipeline reliability.