Software Engineer (Development & QA Automation) (Hybrid)

TL;DR

Software Engineer (Development & QA Automation) (Hybrid): Developing and automating test solutions while maintaining and migrating existing applications across the delivery lifecycle with an accent on automated testing, code quality, and release verification. Focus on technical analysis, building/enhancing automation tools, and executing Selenium/Cucumber-based test cases before business or client acceptance testing.

Location: Hybrid (Edgewood, NY; Newark, NJ; Coppell, TX; or NYC)

Salary: $90,000 - $95,000

Company

hirify.global builds technology solutions for financial services and other industries.

What you will do

• Perform technical analysis to determine feasibility and approach for ideas and changes.
• Estimate work accurately to support project timelines and delivery commitments.
• Maintain, migrate, and enhance existing application codebases to newer platforms.
• Develop, automate, and execute test cases to verify results against expected outcomes before release.
• Contribute to integration, implementation, and deployment strategies; maintain operating manuals and system documentation.
• Support and enhance automation tools and handle special projects as needed.

Requirements

• Bachelor’s degree in Computer Science or equivalent relevant work experience.
• Solid knowledge of programming, testing, and deployment tools, techniques, and applicable languages.
• Practical experience with Perl, Python, Java, Linux, and Shell scripting.
• Experience developing and executing automated tests as part of the delivery cycle.
• Knowledge of application analysis and design methodologies, including database concepts.
• Working knowledge of the software development project lifecycle and Agile methodology.

Culture & Benefits

• Hybrid work arrangement.
• Bonus eligible.
• Comprehensive benefits; paid sick leave for Colorado employees per applicable law.
• Human-reviewed hiring process with AI tools used to support recruiters and hiring managers.

Hiring process

• Application review supported by AI-based tools, with final employment decisions including human review.
• Interviews and assessments may be used as part of the recruiting process.