Senior Software Engineer - QA, Data & ML

GCS Recruitment; Philadelphia (Philadelphia County); On-site; USD 120,000 - 180,000; Full time

Job summary

GCS Recruitment seeks a Senior Software Engineer - Quality, Applications & Data to lead software development, QA, data solutions, and ML projects. The role covers test planning, automation, and data architecture while collaborating with business partners to deliver reliable systems.

The ideal candidate combines hands-on coding with testing strategy and design decisions to improve processes and quality across applications and data platforms.

Qualifications

• 8+ years of software development, testing, or QA experience.
• Experience building and testing enterprise software applications.
• Strong SQL and relational database design skills.
• Experience with multiple technologies listed (Java, .NET, Node.js, Ruby, AngularJS, HTML/CSS, SQL).

Responsibilities

• Develop and execute formal test plans for high-quality software applications.
• Participate in test planning, test case development, and test automation.
• Define and analyze QA metrics such as defects and test results.
• Identify quality issues, document findings, and assist with resolution.
• Design, develop, test, and document new or enhanced software and ML systems.
• Write clean, scalable code meeting performance and business needs.
• Engage in full software development lifecycle from requirements to production support.
• Build relational database solutions and maintain SQL queries and integrations.

Skills

Java

.NET

Node.js

Ruby

AngularJS

HTML/CSS

SQL

Education

Bachelor's degree in Computer Science / related field

Job description

GCS Recruitment seeks a Senior Software Engineer - Quality, Applications & Data to lead software development, QA, data solutions, and ML projects. The role covers test planning, automation, and data architecture while collaborating with business partners to deliver reliable systems.

The ideal candidate combines hands-on coding with testing strategy and design decisions to improve processes and quality across applications and data platforms.