Backend Infrastructure Engineer Jobs in USA with Visa Sponsorship
Backend infrastructure engineers are among the most consistently sponsored roles in tech. H-1B, O-1, and L-1 visas all apply depending on your background, and employers filing LCAs for infrastructure roles outnumber available candidates most years. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Giga
Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We’re building the next generation of customer experience — real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world’s largest enterprises. It’s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers. The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
Voice AI startup Giga raises $61M Series A
DoorDash and Giga Partnership
Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
The Role
We're looking for an infrastructure engineer to build the platform that powers our AI agents. Your customers are other engineers on the team; you'll create the systems, tools, and abstractions that make everyone more productive and our platform more reliable. This isn't DevOps or traditional SRE. You'll write application code, but focused on the foundational layers: deployment systems, observability, data infrastructure, and the internal tools that let the team move fast without breaking things.
What You'll Work On
A few examples from our current priorities:
Controlled deployments: Staged rollout systems with traffic scaling, scheduling, and pass rate thresholds to safeguard production
Observability: Creating the instrumentation, logging, and monitoring infrastructure that helps us understand what's happening in production
Data infrastructure: Building pipelines and storage systems for training data, analytics, and agent memory
Developer tooling: Internal CLIs, testing frameworks, and automation that reduces friction for the engineering team
As a senior infrastructure engineer, you'll own critical systems end-to-end and make decisions that affect the reliability and velocity of the entire engineering team.
Tech Stack
Backend: Python (Django/FastAPI), TypeScript (Node.js)
Infrastructure: AWS, Modal, Kubernetes
Data: ClickHouse, PostgreSQL, Redis
Tooling: Terraform, Docker, CI/CD pipelines
You Might Be a Fit If You
Have 4+ years of experience in infrastructure, platform, or backend engineering roles
Have built systems that other engineers depend on, and understand the responsibility that comes with that
Care deeply about reliability, but also know when "good enough" is the right call
Are comfortable across the stack, from application code to cloud infrastructure
Can debug production issues under pressure and build systems that prevent them from recurring
Think about developer experience as a product—you want the tools you build to be a pleasure to use
* Are excited about the infrastructure challenges of running AI agents at scale
Perks & Benefits
Catered lunch daily
Dinner stipend
$150/month wellness benefit (gym, fitness classes, mental health)
401(k) plan
Paid parental leave (12 weeks maternal, 6 weeks paternal)
Commuter benefits
* Medical, dental, and vision coverage
Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
Compensation Range: $210K - $350K
About Giga
Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We’re building the next generation of customer experience — real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world’s largest enterprises. It’s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers. The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
Voice AI startup Giga raises $61M Series A
DoorDash and Giga Partnership
Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
The Role
We're looking for an infrastructure engineer to build the platform that powers our AI agents. Your customers are other engineers on the team; you'll create the systems, tools, and abstractions that make everyone more productive and our platform more reliable. This isn't DevOps or traditional SRE. You'll write application code, but focused on the foundational layers: deployment systems, observability, data infrastructure, and the internal tools that let the team move fast without breaking things.
What You'll Work On
A few examples from our current priorities:
Controlled deployments: Staged rollout systems with traffic scaling, scheduling, and pass rate thresholds to safeguard production
Observability: Creating the instrumentation, logging, and monitoring infrastructure that helps us understand what's happening in production
Data infrastructure: Building pipelines and storage systems for training data, analytics, and agent memory
Developer tooling: Internal CLIs, testing frameworks, and automation that reduces friction for the engineering team
As a senior infrastructure engineer, you'll own critical systems end-to-end and make decisions that affect the reliability and velocity of the entire engineering team.
Tech Stack
Backend: Python (Django/FastAPI), TypeScript (Node.js)
Infrastructure: AWS, Modal, Kubernetes
Data: ClickHouse, PostgreSQL, Redis
Tooling: Terraform, Docker, CI/CD pipelines
You Might Be a Fit If You
Have 4+ years of experience in infrastructure, platform, or backend engineering roles
Have built systems that other engineers depend on, and understand the responsibility that comes with that
Care deeply about reliability, but also know when "good enough" is the right call
Are comfortable across the stack, from application code to cloud infrastructure
Can debug production issues under pressure and build systems that prevent them from recurring
Think about developer experience as a product—you want the tools you build to be a pleasure to use
* Are excited about the infrastructure challenges of running AI agents at scale
Perks & Benefits
Catered lunch daily
Dinner stipend
$150/month wellness benefit (gym, fitness classes, mental health)
401(k) plan
Paid parental leave (12 weeks maternal, 6 weeks paternal)
Commuter benefits
* Medical, dental, and vision coverage
Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
Compensation Range: $210K - $350K
How to Get Visa Sponsorship as a Backend Infrastructure Engineer
Target companies with active LCA filings
Employers who have filed Labor Condition Applications for infrastructure roles in the past two years are your strongest leads. Prior filings signal an established sponsorship process, legal infrastructure, and willingness to repeat it for the right hire.
Align your degree to the role's specialty occupation requirement
H-1B sponsorship requires your role to qualify as a specialty occupation. Computer science, software engineering, and information systems degrees map cleanly to backend infrastructure. A mismatched degree increases RFE risk significantly, so document the connection clearly.
Flag cloud and distributed systems experience early
Employers sponsoring infrastructure engineers want concrete proof of scope. Kubernetes orchestration, large-scale distributed systems, and cloud platform expertise like AWS or GCP signal the level of specialization that justifies the sponsorship investment and strengthens the H-1B petition.
Consider employers with cap-exempt status
Universities, research institutions, and certain nonprofits are exempt from the H-1B lottery. Backend infrastructure roles exist at these organizations, and a cap-exempt offer means no lottery risk and a faster, more predictable path to starting work on H-1B status.
Build a paper trail of technical leadership
If you're targeting O-1A as an alternative to H-1B, evidence matters more than titles. Patents, open-source contributions with measurable adoption, conference presentations, and peer-reviewed technical writing all strengthen an extraordinary ability petition for an infrastructure engineer.
Use Migrate Mate to find infrastructure roles open to sponsorship
Not every job listing makes sponsorship eligibility clear upfront. Migrate Mate filters specifically for employers willing to sponsor, saving you from applying to roles that will screen you out the moment you mention your visa status.
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Get Access To All JobsFrequently Asked Questions
Is backend infrastructure engineering considered a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS treats software engineering and infrastructure roles as specialty occupations when the position requires at least a bachelor's degree in computer science, information systems, or a closely related field. Roles involving cloud architecture, distributed systems, or site reliability engineering have a strong track record of approval. Where petitions run into trouble is when the job description is written too broadly or the degree requirement isn't explicitly stated in the offer letter.
Do I need a four-year degree to get sponsored as a backend infrastructure engineer?
A four-year bachelor's degree is the standard requirement for H-1B sponsorship, but it doesn't have to be from a U.S. institution. Three-year degrees from countries like India, Australia, or the UK are often accepted when paired with relevant work experience. If you don't have a degree at all, three years of specialized work experience can substitute for each year of missing education under USCIS equivalency rules, though this requires a formal credential evaluation and carries more petition risk.
Which visa types are most commonly used to sponsor backend infrastructure engineers?
H-1B is the most common path for infrastructure engineers entering the U.S. job market. L-1B is an option if you're being transferred intracompany and have specialized knowledge of proprietary systems. O-1A applies if you can demonstrate extraordinary ability through patents, notable open-source contributions, or recognized technical leadership. TN status covers Canadian and Mexican nationals in certain engineering roles. The right visa depends on your nationality, current status, and employer situation.
What H-1B approval rates look like for infrastructure and systems engineering roles?
Backend and infrastructure engineering roles have historically seen strong H-1B approval rates, generally above 85% for properly documented petitions at employers with established sponsorship programs. Approval rates dip when job descriptions are vague, degree-to-role connections are weak, or the employer is flagged for high-volume filings. Premium processing, which returns a decision within 15 business days, is widely used in tech to reduce uncertainty. Roles at large cloud and enterprise infrastructure companies have the most consistent track records.
How do I find backend infrastructure jobs that are actually open to visa sponsorship?
The practical challenge is that many infrastructure job listings don't state sponsorship eligibility clearly, and you often find out only after several rounds of interviews. Migrate Mate is built specifically to surface jobs where employers have confirmed willingness to sponsor, so you're not wasting time on applications that will stall at the visa question. Filtering by sponsorship from the start is especially important for infrastructure roles, where technical screens are time-intensive.
What is the prevailing wage requirement for sponsored Backend Infrastructure Engineer jobs?
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.
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