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Junior Software Engineer In Test Jobs in Stone Mountain, GA

Apex Informatics

AI ML SDET

Alpharetta, GA · On-site

$48.75 - $63/hr

AI ML SDET This is SDET with AI exp. Location is Alpharetta GA or Berkley Heights NJ (5 days a week onsite). We are looking for a highly experienced Senior QA Engineer with 7-10 years of experience ...

NLB Services

SDET

Atlanta, GA · On-site

$48 - $62/hr

NLB Services is seeking a Software Development Engineer in Test (SDET) to join their team in Atlanta, GA. The role involves automating testing processes for applications, including UI and API layers ...

Vish Consulting IT

SDET Lead with AWS Experience

Atlanta, GA · On-site

$48 - $62/hr

Role :- SDET with AWS Experience Location :- Atlanta, GA 30354 (Hybrid) Contract role :- In-person Client interview Need SDET with Python, AWS, dynamo db, s3 lambda * We need a strong Senior SDET ...

Compunnel

SDET / Automation Engineer

Atlanta, GA · On-site

Job Summary We are seeking a skilled SDET (Software Development Engineer in Test) / Automation Engineer to design, develop, and maintain automated test frameworks and ensure the delivery of high ...

Compunnel

SDET / Automation Engineer

Atlanta, GA · On-site

Job Summary We are seeking a skilled SDET (Software Development Engineer in Test) / Automation Engineer to design, develop, and maintain automated test frameworks and ensure the delivery of high ...

NLB Services

SDET in Atlanta

Atlanta, GA · On-site

NLB Services is a company focused on providing technology solutions, and they are seeking a Software Development Engineer in Test (SDET) to design, develop, and maintain software testing processes.

krg technology inc

SDET

Atlanta, GA

Technical Test engineer with experience in automation programs . Proficiency in at least one programming language * Java * .Net Core * Proficiency with at least one automated testing types, tools and ...

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Junior Software Engineer In Test information

See Stone Mountain, GA salary details

$42.1K

$85.5K

$128.5K

How much do junior software engineer in test jobs pay per year?

As of Aug 18, 2026, the average yearly pay for junior software engineer in test in Stone Mountain, GA is $85,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $86,400.00 per year, depending on experience, location, and employer.

What is a junior software engineer in test?

Junior Software Engineers In Test are entry-level professionals who focus on ensuring the quality and reliability of software applications. They write and execute test cases, identify bugs, and collaborate with developers to resolve issues. Their responsibilities often include developing automated tests, maintaining testing frameworks, and reporting on test results. This role provides a foundation in both software development and quality assurance practices, making it an excellent starting point for a career in software engineering or testing.

What are the key skills and qualifications needed to thrive as a junior software engineer in test?

To thrive as a Junior Software Engineer In Test, you need a solid understanding of programming fundamentals, basic knowledge of software testing methodologies, and often a degree in computer science or a related field. Familiarity with test automation tools (such as Selenium or JUnit), version control systems (like Git), and continuous integration platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with development teams and ensure high-quality software. These skills are crucial for identifying issues early, maintaining efficient testing processes, and contributing to reliable product releases.

What are some common challenges faced by junior software engineers in test when transitioning from manual to automated testing?

Junior Software Engineers In Test often encounter challenges such as learning new automation frameworks, understanding programming concepts, and adapting to complex test environments. It can also be difficult to write effective automated test scripts that are maintainable and scalable. Collaborating with developers and senior QA engineers is key to overcoming these hurdles, as mentorship and code reviews help build confidence and technical skills. Continuous learning and hands-on practice with automation tools like Selenium or Cypress are essential for a smooth transition.

What is the difference between Junior Software Engineer In Test vs Junior QA Engineer?

AspectJunior Software Engineer In TestJunior QA Engineer
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's in CS, IT, or related field, testing knowledge
Work EnvironmentDevelopment teams, coding, automationTesting teams, manual and automated testing
Employer & Industry UsageTech companies, software firms, startupsSoftware companies, QA departments, IT firms
Common Search & ComparisonYesYes

Junior Software Engineer In Test roles focus on developing automated tests and coding, often working closely with developers. Junior QA Engineers primarily perform manual testing and basic automation, focusing on quality assurance. Both roles require similar educational backgrounds but differ in daily tasks and technical depth.

What are popular job titles related to Junior Software Engineer In Test jobs in Stone Mountain, GA?

For Junior Software Engineer In Test jobs in Stone Mountain, GA, the most frequently searched job titles are:

What job categories do people searching Junior Software Engineer In Test jobs in Stone Mountain, GA look for?

The top searched job categories for Junior Software Engineer In Test jobs in Stone Mountain, GA are:

What cities near Stone Mountain, GA are hiring for Junior Software Engineer In Test jobs?

Cities near Stone Mountain, GA with the most Junior Software Engineer In Test job openings:

Junior Software Engineer In Test jobs near you

AI ML SDET

Apex Informatics

Alpharetta, GA • On-site

$48.75 - $63/hr

Contractor

Re-posted 3 days ago

Job description

AI ML SDET
This is SDET with AI exp.
Location is Alpharetta GA or Berkley Heights NJ (5 days a week onsite).
Job Description: We are looking for a highly experienced Senior QA Engineer with 7-10 years of experience to join our team and support our AI Ops initiatives. The ideal candidate will be responsible for ensuring the quality and reliability of AI-driven solutions through comprehensive testing strategies, automation, and continuous improvement processes.
Responsibilities:
1. Develop and implement test strategies, plans, and cases for AI applications and systems to ensure high-quality deliverables.
2. Collaborate with data scientists, software engineers, and product managers to understand requirements and define testing criteria.
3. Design, execute, and maintain automated test scripts for functional, performance, and regression testing of AI models and applications.
4. Conduct thorough manual testing when necessary, including exploratory testing to identify edge cases and potential issues.
5. Monitor and analyze test results, providing detailed reports and insights to stakeholders regarding quality metrics and areas for improvement.
6. Identify, document, and track defects using issue tracking tools, ensuring timely resolution and verification of fixes.
7. Participate in code reviews and provide feedback on best practices for testing and quality assurance.
8. Stay current with industry trends and advancements in QA methodologies, tools, and technologies to enhance testing processes.
Qualifications:
1. Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
2. 7-10 years of experience in software quality assurance, with a focus on AI and machine learning applications.
3. Proficiency in test automation tools and frameworks (e.g., Selenium, JUnit, TestNG) and experience with scripting languages (e.g., Python, Java).
4. Strong understanding of software development life cycle (SDLC) and agile methodologies.
5. Experience with performance testing tools (e.g., JMeter, LoadRunner) and continuous integration/continuous deployment (CI/CD) practices.
6. Familiarity with AI concepts and machine learning workflows is a plus.
7. Excellent analytical and problem-solving skills, with a keen attention to detail.
8. Strong communication skills, with the ability to collaborate effectively with cross-functional teams and convey technical information clearly.

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