Software QA Engineer Visa Sponsorship Jobs in Georgia
Georgia's software QA engineer job market is anchored in Atlanta, where companies like NCR Voyix, Global Payments, and Cox Enterprises maintain large engineering teams and a track record of H-1B visa sponsorship. The state's growing fintech and logistics tech sectors, combined with Georgia Tech's graduate pipeline, make it a consistent source of sponsored QA roles.
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Get Access To All JobsWHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.
Why This Role Exists
Most teams slow down to achieve quality. We believe the opposite: quality is what enables speed. We are building an AI-first engineering organization where developers ship fast, confidently, and continuously. That only works if someone owns the system of how quality, data, and delivery come together. That someone is you. This is not QA. This is not project management. This is a high ownership role where you shape how an AI-First team builds, validates, and ships production software.
What You Will Own
Make Quality a Built-In System, Not a Gate
- Turn quality into developer behavior, not a downstream function
- Teach engineers to anticipate failure modes, edge cases, and data issues before writing code
- Build automated test systems that act as guardrails, not overhead
- Define what “production-ready” actually means and enforce it through systems, not process
- Eliminate “hope-driven releases”
Define What’s Buildable Before It Gets Built
- Partner with Sales and Product to pressure test ideas early
- Answer: Is this possible? With what data? At what cost? With what trade-offs?
- Translate ambiguity into clear execution plans engineers can run with
- Kill bad ideas early. Shape good ones into something buildable
Own the Data Reality
- Map and understand how data actually flows, not how people think it flows
- Identify what data exists, what is missing, and what is unreliable
- Navigate internal systems and third-party integrations with confidence
- Ensure every feature is grounded in real, usable data, not assumptions
Bring Domain Depth (MarTech / AdTech + Healthcare)
- Apply real-world understanding of identity, activation, measurement, and data constraints
- Operate within healthcare realities, including compliance and sensitivity of data
- Ensure what we build is not just technically correct, but market-relevant and viable
Drive Delivery Like an Owner
- Run delivery for a team of AI-first engineers
- Break down work into clear, executable steps with no ambiguity
- Drive predictable delivery without slowing the team down
- Surface risks early and adjust before they become problems
- Align Product, Engineering, and GTM without friction
Redefine QA for AI-First Development
- Build testing strategies for AI-generated and non-deterministic systems
- Validate outputs, not just code
- Create evaluation frameworks for AI reliability, accuracy, and behavior
- Ensure AI accelerates development without degrading quality
What Makes You a Strong Fit
- You have likely outgrown traditional QA or delivery roles
- You think in systems, not tickets
- You can go from data model → product requirement → test strategy → delivery plan without handoffs
- You are comfortable pushing back on Product and Sales when things do not make sense
- You know how to make engineers better without becoming a bottleneck
- You care deeply about what happens in production, not just what gets shipped
Your Background Likely Includes
- Deep experience in quality engineering, SDET, or technical delivery leadership
- Strong hands-on experience with test automation and CI/CD systems
- Ability to query and reason across complex data systems (SQL required)
- Experience with AI-assisted development or ML/LLM-based systems
- Strong familiarity with MarTech / AdTech ecosystems, healthcare is a major plus
What Success Looks Like
- Engineers ship to production with confidence, not hesitation
- Bugs are caught before customers ever see them
- Automated tests are trusted, fast, and low maintenance
- Discovery is grounded in data reality, not assumptions
- Delivery is predictable without heavy process
- The team moves fast because quality is built in, not added later
Why You Should Join
- You will define how an AI-first engineering organization actually operates
- You will have real ownership across quality, data, and delivery
- You will work on high-impact MarTech / AdTech problems in healthcare
- You will operate in a team that values speed, clarity, and production outcomes
Bottom Line
If you want to:
- Move beyond QA as a function
- Operate as a force multiplier for an engineering team
- Build systems that let teams ship fast without breaking things
- This role is for you.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance
- And more!!
SALARY RANGE
The salary range for this role is $150,000 - $200,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.
Why This Role Exists
Most teams slow down to achieve quality. We believe the opposite: quality is what enables speed. We are building an AI-first engineering organization where developers ship fast, confidently, and continuously. That only works if someone owns the system of how quality, data, and delivery come together. That someone is you. This is not QA. This is not project management. This is a high ownership role where you shape how an AI-First team builds, validates, and ships production software.
What You Will Own
Make Quality a Built-In System, Not a Gate
- Turn quality into developer behavior, not a downstream function
- Teach engineers to anticipate failure modes, edge cases, and data issues before writing code
- Build automated test systems that act as guardrails, not overhead
- Define what “production-ready” actually means and enforce it through systems, not process
- Eliminate “hope-driven releases”
Define What’s Buildable Before It Gets Built
- Partner with Sales and Product to pressure test ideas early
- Answer: Is this possible? With what data? At what cost? With what trade-offs?
- Translate ambiguity into clear execution plans engineers can run with
- Kill bad ideas early. Shape good ones into something buildable
Own the Data Reality
- Map and understand how data actually flows, not how people think it flows
- Identify what data exists, what is missing, and what is unreliable
- Navigate internal systems and third-party integrations with confidence
- Ensure every feature is grounded in real, usable data, not assumptions
Bring Domain Depth (MarTech / AdTech + Healthcare)
- Apply real-world understanding of identity, activation, measurement, and data constraints
- Operate within healthcare realities, including compliance and sensitivity of data
- Ensure what we build is not just technically correct, but market-relevant and viable
Drive Delivery Like an Owner
- Run delivery for a team of AI-first engineers
- Break down work into clear, executable steps with no ambiguity
- Drive predictable delivery without slowing the team down
- Surface risks early and adjust before they become problems
- Align Product, Engineering, and GTM without friction
Redefine QA for AI-First Development
- Build testing strategies for AI-generated and non-deterministic systems
- Validate outputs, not just code
- Create evaluation frameworks for AI reliability, accuracy, and behavior
- Ensure AI accelerates development without degrading quality
What Makes You a Strong Fit
- You have likely outgrown traditional QA or delivery roles
- You think in systems, not tickets
- You can go from data model → product requirement → test strategy → delivery plan without handoffs
- You are comfortable pushing back on Product and Sales when things do not make sense
- You know how to make engineers better without becoming a bottleneck
- You care deeply about what happens in production, not just what gets shipped
Your Background Likely Includes
- Deep experience in quality engineering, SDET, or technical delivery leadership
- Strong hands-on experience with test automation and CI/CD systems
- Ability to query and reason across complex data systems (SQL required)
- Experience with AI-assisted development or ML/LLM-based systems
- Strong familiarity with MarTech / AdTech ecosystems, healthcare is a major plus
What Success Looks Like
- Engineers ship to production with confidence, not hesitation
- Bugs are caught before customers ever see them
- Automated tests are trusted, fast, and low maintenance
- Discovery is grounded in data reality, not assumptions
- Delivery is predictable without heavy process
- The team moves fast because quality is built in, not added later
Why You Should Join
- You will define how an AI-first engineering organization actually operates
- You will have real ownership across quality, data, and delivery
- You will work on high-impact MarTech / AdTech problems in healthcare
- You will operate in a team that values speed, clarity, and production outcomes
Bottom Line
If you want to:
- Move beyond QA as a function
- Operate as a force multiplier for an engineering team
- Build systems that let teams ship fast without breaking things
- This role is for you.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance
- And more!!
SALARY RANGE
The salary range for this role is $150,000 - $200,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
Software QA Engineer Job Roles in Georgia
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Search Software QA Engineer Jobs in GeorgiaSoftware QA Engineer Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for software QA engineers?
Atlanta-based employers with documented H-1B sponsorship history for software QA engineers include NCR Voyix, Global Payments, Cox Enterprises, and Fiserv. Large consulting firms such as Infosys and Cognizant also maintain Georgia offices and regularly sponsor QA-focused roles. Sponsorship patterns vary by team and hiring cycle, so checking recent LCA filings through the Department of Labor's OFLC disclosure database gives the most current picture.
Which visa types are most common for software QA engineer roles in Georgia?
The H-1B is the most common visa category for software QA engineers in Georgia, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, software engineering, or a related field. Some candidates also enter on OPT or STEM OPT extensions before transitioning to H-1B. TN visas are available to Canadian and Mexican nationals whose QA role meets the treaty's engineer classification requirements.
Which cities in Georgia have the most software QA engineer sponsorship jobs?
Atlanta accounts for the large majority of software QA sponsorship activity in Georgia, driven by its concentration of fintech, logistics technology, and enterprise software companies. Alpharetta and Roswell, in Atlanta's northern suburbs, host significant technology operations for companies like NCR Voyix and various financial services firms. Outside the metro area, sponsorship opportunities are limited, making Atlanta the practical center of gravity for international QA candidates in the state.
How to find software qa engineer visa sponsorship jobs in Georgia?
Migrate Mate filters job listings specifically for roles with visa sponsorship, including software QA engineer positions in Georgia. Because not all QA job postings explicitly state sponsorship availability, a platform that pre-filters for sponsoring employers saves significant research time. Searching by state and role on Migrate Mate surfaces active Georgia listings from companies with a history of sponsoring international candidates in software quality and testing roles.
Are there state-specific factors that affect visa sponsorship for software QA engineers in Georgia?
Georgia does not have state-level visa or work authorization requirements, so federal H-1B rules govern sponsorship. One practical factor is Georgia Tech's large computer science and engineering graduate programs, which create a steady pipeline of OPT candidates that many Atlanta employers are accustomed to hiring and subsequently sponsoring. The state's fintech industry concentration also means QA engineers with financial systems testing experience may find more sponsoring employers relative to other regions.
What is the prevailing wage for sponsored software qa engineer jobs in Georgia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.