Software Quality Assurance Visa Sponsorship Jobs in Georgia
Software quality assurance visa sponsorship jobs in Georgia are concentrated in Atlanta, where employers like NCR Voyix, Global Payments, and Cox Enterprises maintain large engineering organizations that have historically filed for H-1B visa and other work visas. Georgia's growing fintech and enterprise software sectors create steady demand for QA engineers, automation specialists, and test architects.
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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 Quality Assurance Job Roles in Georgia
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Search Software Quality Assurance Jobs in GeorgiaSoftware Quality Assurance Jobs in Georgia: Frequently Asked Questions
Which companies sponsor visas for software quality assurance roles in Georgia?
Georgia-based employers with documented H-1B sponsorship activity for software quality assurance roles include NCR Voyix, Global Payments, Cox Enterprises, Fiserv's Atlanta operations, and Delta Air Lines' technology division. Large consulting firms with Georgia offices, including Infosys, Wipro, and Cognizant, also regularly sponsor QA engineers. Sponsorship history can vary year to year, so verifying current hiring activity is worthwhile before applying.
Which visa types are most common for software quality assurance roles in Georgia?
The H-1B is the most common visa category for software quality assurance professionals in Georgia, as QA engineer and test automation roles generally qualify as specialty occupations requiring a related bachelor's degree or higher. Some candidates already in the U.S. on F-1 OPT or STEM OPT also work in Georgia QA roles before an employer files an H-1B petition. The O-1A is an option for candidates with demonstrated exceptional ability, though it's far less common in this field.
Which cities in Georgia have the most software quality assurance sponsorship jobs?
Atlanta accounts for the large majority of software quality assurance sponsorship activity in Georgia, particularly in the Midtown, Buckhead, and Alpharetta technology corridors. Alpharetta has emerged as a notable suburban hub with a concentration of fintech and enterprise software companies that employ QA teams. Smaller pockets of tech hiring exist in Savannah and Columbus, but sponsorship opportunities there are far more limited compared to the Atlanta metro area.
How to find software quality assurance visa sponsorship jobs in Georgia?
Migrate Mate is specifically built for international candidates seeking visa sponsorship and lets you filter software quality assurance jobs by Georgia location, surfacing employers with active sponsorship intent. Because QA roles span fintech, logistics, healthcare IT, and enterprise software in Georgia, using a platform that filters by sponsorship status saves significant time. Migrate Mate also provides visa-relevant context alongside job listings, which general job boards do not offer.
Are there any Georgia-specific considerations for software quality assurance visa sponsorship?
Georgia's fintech concentration around Atlanta means QA roles frequently require domain knowledge in payments, banking compliance, or transaction processing, which can strengthen an H-1B petition by demonstrating the specialized nature of the position. Georgia Tech's large computer science and engineering pipeline creates local competition, so international candidates benefit from highlighting automation skills, testing frameworks like Selenium or Cypress, and relevant industry certifications. Prevailing wage determinations for Georgia QA roles are based on the Atlanta or relevant metro area wage data filed with the Department of Labor.
What is the prevailing wage for sponsored software quality assurance 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.