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Software Development Engineer In Test Jobs in Atlanta, GA

Sr. QA Test Engineer

Alpharetta, GA · On-site

$40.25 - $55/hr

Title: QA Test Engineer Location: Alpharetta, GA Duration: 7 months Position type: W2 contract ... in-the-loop reviews.  - Non-determinism handling: statistical assertions ...

What are the top 3 skills required for this role? 1. Strong JAVA SDET (API & UI Automation) 2. Mobile automation (Appium) 3. Very good communication skills / Responsibilities/ Years of experience ...

Design, develop, implement, test, and document embedded or distributed software applications, tools ... Participate in the full development cycle, end-to-end, from design, implementation, and testing to ...

We are looking for a QA Engineer with a backend focus and an SDET-like mindset. This role is centered on API and backend testing, with automation testing experience and a deeper understanding of ...

Software Development Engineer II

Atlanta, GA · On-site

$93K - $128K/yr

Our corporate headquarters are in Atlanta with offices in the UK and Latin America, and we are growing fast! Itential is looking for a proficient and enthusiastic Software Development Engineer II to ...

Description Lead Software Development Engineer Job Profile Summary The Lead Software Development ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

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Software Development Engineer In Test information

See Atlanta, GA salary details

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How much do software development engineer in test jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for software development engineer in test in Atlanta, GA is $52.66, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $59.62 per hour, depending on experience, location, and employer.

Is SDET still in demand?

Software Development Engineers in Test (SDETs) remain in demand due to the increasing emphasis on automation, quality assurance, and continuous integration in software development. SDETs with skills in programming, testing frameworks, and tools like Selenium or Jenkins are highly sought after across various industries, especially in organizations adopting Agile and DevOps practices.

What is the role of a software development engineer in testing?

A Software Development Engineer in Test (SDET) designs, develops, and maintains automated test frameworks and scripts to ensure software quality. They collaborate with development teams to identify testing requirements, write test cases, and use tools like Selenium or JUnit to execute tests, often integrating testing into continuous integration pipelines.

Is SDET a good career?

A Software Development Engineer in Test (SDET) is a valuable role that combines software development and testing skills to improve product quality. SDETs often work with automation tools, programming languages, and testing frameworks, making it a technically demanding and in-demand career path with good growth prospects. It is suitable for those interested in both coding and quality assurance.

What is the difference between Software Development Engineer In Test vs Software Engineer?

AspectSoftware Development Engineer In TestSoftware Engineer
Primary FocusDesigning and developing automated tests, ensuring software qualityDeveloping software applications and features
Skills & CertificationsProgramming, testing frameworks, automation toolsProgramming, software design, system architecture
Work EnvironmentQuality assurance teams, development teams, testing labsDevelopment teams, product teams, engineering environments
Industry UsageTech companies, software firms, QA departmentsTech companies, startups, software product companies

While both roles require strong programming skills, Software Development Engineer In Test focuses on automation and testing to ensure software quality, whereas Software Engineers primarily develop new features and applications. Both roles are integral to software development but serve different aspects of the product lifecycle.

How does a Software Development Engineer in Test (SDET) typically collaborate with developers and QA teams during the software development lifecycle?

As an SDET, you'll work closely with both software developers and quality assurance teams throughout the development process. Your role involves participating in design and code reviews to ensure testability, creating automated test frameworks, and writing test cases alongside developers. You'll also help identify bugs early, contribute to continuous integration pipelines, and facilitate communication between development and QA to ensure high-quality releases. This collaborative environment allows you to bridge the gap between coding and testing, making you a key player in delivering reliable software.

What is a Software Development Engineer In Test (SDET)?

A Software Development Engineer In Test (SDET) is a professional who combines software development skills with expertise in testing to ensure the quality of software products. SDETs design, develop, and maintain automated test frameworks, write test scripts, and work closely with developers to identify and resolve defects early in the software development lifecycle. They play a critical role in integrating testing into the development process, improving test coverage, and enabling continuous integration and delivery. SDETs often have strong programming abilities and a deep understanding of both software engineering and quality assurance best practices.

What are the key skills and qualifications needed to thrive as a Software Development Engineer in Test, and why are they important?

To thrive as a Software Development Engineer in Test (SDET), you need a solid background in software engineering principles, programming skills (often in languages like Java, Python, or C#), and a strong understanding of testing methodologies. Familiarity with automated testing frameworks (such as Selenium, JUnit, or TestNG), CI/CD tools, and sometimes certifications like ISTQB are typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills that help SDETs collaborate with developers and identify issues efficiently. These skills are crucial to ensure robust, scalable, and high-quality software products through efficient test design and automation.

Will QA or SDET get replaced by AI?

Software Development Engineers in Test (SDETs) and QA professionals perform complex testing tasks that require critical thinking, creativity, and understanding of system design, which AI currently cannot fully replicate. While AI tools can automate repetitive testing and assist in identifying issues, human oversight and expertise remain essential for designing test strategies, interpreting results, and ensuring software quality. Therefore, SDET roles are likely to evolve with AI rather than be completely replaced.
What are the most commonly searched types of Software Development Engineer In Test jobs in Atlanta, GA? The most popular types of Software Development Engineer In Test jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Software Development Engineer In Test jobs? Cities near Atlanta, GA with the most Software Development Engineer In Test job openings:
Infographic showing various Software Development Engineer In Test job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $109,534 per year, or $52.7 per hour.
Sr. QA Test Engineer

Sr. QA Test Engineer

Accord Technologies Inc.

Alpharetta, GA • On-site

$40.25 - $55/hr

Contractor

Posted 17 days ago


Job description

Title: QA Test Engineer
Location: Alpharetta, GA
Duration: 7 months
Position type: W2 contract.

Face to Face interview is needed for this position.
 

PS: Qualified QA Test Engineer candidates located near Alpharetta GA to be considered due to the position requiring an onsite presence.
Required Skills, Experience, & Abilities:
- 3+ years in QA automation or SDET-type work (adjust by level); 1+ year exposure to AI/LLM or ML-driven features is a plus. 
- Strong test automation in Python and/or Java/TypeScript. 
- We are a platform team, testing APIs for high performance, automation will be primary focus. 
- Strong communication and analytical skills. 
Additional skills required: 
- Hands-on with frameworks/tools such as: UI: Playwright / Cypress / Selenium and API: pytest + requests, Postman/Newman, REST Assured 
- CI/CD integration: Git, GitHub Actions/Jenkins/GitLab CI, test reporting, gating. 
- Test design: equivalence partitioning, boundary testing, risk-based testing, defect triage. AI-Specific Testing Competencies (Key) 
- LLM/application behavior testing: validating correctness when outputs are probabilistic. 
- Evaluation strategies: golden datasets, scoring rubrics, human-in-the-loop reviews. 
- Non-determinism handling: statistical assertions, repeated runs, variance thresholds. 
- Prompt and regression management: versioning prompts, detecting prompt drift, replay tests. 
- RAG testing (if applicable): retrieval quality (recall/precision), grounding checks, citation validation, doc freshness. 
- Safety & quality checks: hallucination detection, toxicity/PII leakage checks, policy compliance tests. 
Data & Observability:
- Ability to create and maintain test datasets (structured + unstructured), including edge cases. 
- Familiarity with telemetry for AI systems: - logging prompts/outputs safely, traceability, correlation IDs - tools like OpenTelemetry, ELK/Splunk, Datadog/Grafana (any equivalent) 
- Understanding of data privacy constraints (masking/redaction) and secure test data practices. 
- API / Microservices / Cloud 
- Comfortable testing distributed systems: microservices, async workflows, queues/events. 
- Basic cloud proficiency (AWS/Azure/GCP) and containerization (Docker, optional Kubernetes). Performance & Reliability Testing (AI-Aware) 
- Load/performance testing for inference endpoints (latency, throughput, concurrency). 
- Cost-aware testing (token usage, rate limits, fallbacks). 
- Resilience tests: retries, circuit breakers, model timeouts, degraded-mode behavior. 
Nice-to-Have:
Domain Knowledge:
- Familiarity with NLP concepts (embeddings, context windows, temperature/top-p). 
- Experience with AI tooling: LangChain/LlamaIndex, evaluation tools, model gateways. 
- Knowledge of regulatory/security needs relevant to the telecom domain. 
Soft Skills / Ways of Working:
- Strong communication
—able to explain AI quality issues clearly to product and engineering. 
- Comfortable partnering with data science/ML engineers and backend teams. 
- Ownership mindset: building reusable test harnesses, improving quality metrics, preventing regressions.

Education: 
- Bachelor’s in Computer Science, Engineering, Data/Information Systems, or equivalent practical experience. 

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