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Software Development Engineer In Test Manager Jobs in Dacula, GA

TriOptus LLC

QA Test Engineer

Alpharetta, GA · On-site

$38.75 - $53/hr

... years of experience in leading and managing QA resources * Understanding of multi-tier web ... Familiarity with entire software development life cycle and test cycles (Unit, Regression ...

Saransh Inc

QA Lead

Alpharetta, GA · On-site

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 ...

CGI Inc.

QA Engineer

Atlanta, GA · On-site

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 ...

Workday

Sr. Software Development Engineer

Atlanta, GA

$117K - $155K/yr

Collaborate with peers, product owners, and designers to design, build, test, and deliver high ... Deep expertise in API development and contract management, alongside a good understanding of modern ...

Workday, Inc.

Sr. Software Development Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Collaborate with peers, product owners, and designers to design, build, test, and deliver high ... Deep expertise in API development and contract management, alongside a good understanding of modern ...

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Software Development Engineer In Test Manager information

See Dacula, GA salary details

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$47

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

As of Jun 21, 2026, the average hourly pay for software development engineer in test manager in Dacula, GA is $47.34, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $53.99 per hour, depending on experience, location, and employer.

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

AspectSoftware Development Engineer In Test (SDET)Software Development Engineer In Test Manager (SDET Manager)
ResponsibilitiesDesigns and develops automated tests, writes test scripts, and ensures product quality at the individual level.Leads testing teams, oversees testing strategies, and manages test planning and execution across projects.
Required SkillsStrong coding skills, automation tools, and testing frameworks.Leadership, project management, and team coordination skills in addition to technical expertise.
Work EnvironmentHands-on testing, coding, and automation development.Team management, strategic planning, and cross-team collaboration.

In summary, while a Software Development Engineer In Test focuses on technical testing and automation, a Software Development Engineer In Test Manager oversees testing teams and strategies, combining technical expertise with leadership skills to ensure overall quality assurance.

What job categories do people searching Software Development Engineer In Test Manager jobs in Dacula, GA look for? The top searched job categories for Software Development Engineer In Test Manager jobs in Dacula, GA are:
What cities near Dacula, GA are hiring for Software Development Engineer In Test Manager jobs? Cities near Dacula, GA with the most Software Development Engineer In Test Manager job openings:
Software Development Engineer In Test Manager jobs near you

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.