Airbyte Visa Sponsorship USA
Airbyte is an open-source data integration platform known for attracting engineering talent from around the world. The company operates in a visa-sponsoring segment of the tech industry and has a track record of supporting both H-1B and Green Card pathways for qualified candidates.
See All Airbyte JobsOverview
Showing 5 of 13+ Airbyte Visa Sponsorship USA jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 13+ Airbyte Visa Sponsorship USA jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Airbyte Visa Sponsorship USA roles.
Get Access To All Jobs
INTRODUCTION
Airbyte is the open‑source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere. We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We’ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.
THE ROLE
You'll be the infrastructure and reliability engineer on the Data Replication team - a full-stack product team running over 3 million sync jobs a week powering thousands of data use cases across multiple regions and clouds. You’ll build and maintain the infrastructure, set reliability standards, drive down incidents, and make it easier and safer for engineers to ship through tooling. You're equally comfortable in a Terraform file, a Kubernetes cluster, and a postmortem doc. We expect engineers here to actively use AI as a force multiplier - agentic tools to automate toil, augment incident response, and build smarter internal tooling. If you're not already doing this, you should be excited to start. We care as much about how you work as what you build. Trust, directness, and craftsmanship matter here.
WHAT YOU’LL DO
- Own the infrastructure underpinning the Data Replication platform - Kubernetes clusters, CI/CD pipelines, secrets management, networking, and cloud resource configuration across AWS and GCP.
- Partner with product engineers to reliably integrate product features with infrastructure.
- Maintain and enhance observability, alerting, and anomaly detection with an eye towards LLM automation.
- Maintain and enhance AI-augmented release and internal tooling: canary deployments, progressive rollouts, automated release qualification, and rollback automation - with an eye towards LLM automation.
- Set the infrastructure bar for the team - build self-serve tooling, write runbooks, and coach engineers to own more of their stack.
WHAT YOU’LL NEED
- 7+ years in infrastructure, platform engineering, SRE, or DevOps.
- Hands-on ownership of Kubernetes, Helm, and Terraform in production environments.
- Deep experience with observability stacks (Prometheus, Grafana, Datadog) and on-call operations.
- Experience with CI/CD pipeline ownership and developer tooling.
- Ability & willingness to read backend code to understand how systems break and instrument them correctly.
- Fluency with AI tools - LLMs and agentic frameworks to automate, debug faster, and reduce toil.
- A startup-ready mindset: comfortable with ambiguity, moving fast, and owning problems end-to-end.
NICE TO HAVE
- Data pipelines, replication systems, or ETL/ELT platforms.
- Control plane / data plane architectures or internal developer platforms.
- Experience with Airbyte, CDKs, or connector-based architectures.
LOCATION:
- Onsite 5 days/week in San Francisco, CA
If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements!
Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.
Compensation Range: $190K - $220K

INTRODUCTION
Airbyte is the open‑source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere. We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We’ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.
THE ROLE
You'll be the infrastructure and reliability engineer on the Data Replication team - a full-stack product team running over 3 million sync jobs a week powering thousands of data use cases across multiple regions and clouds. You’ll build and maintain the infrastructure, set reliability standards, drive down incidents, and make it easier and safer for engineers to ship through tooling. You're equally comfortable in a Terraform file, a Kubernetes cluster, and a postmortem doc. We expect engineers here to actively use AI as a force multiplier - agentic tools to automate toil, augment incident response, and build smarter internal tooling. If you're not already doing this, you should be excited to start. We care as much about how you work as what you build. Trust, directness, and craftsmanship matter here.
WHAT YOU’LL DO
- Own the infrastructure underpinning the Data Replication platform - Kubernetes clusters, CI/CD pipelines, secrets management, networking, and cloud resource configuration across AWS and GCP.
- Partner with product engineers to reliably integrate product features with infrastructure.
- Maintain and enhance observability, alerting, and anomaly detection with an eye towards LLM automation.
- Maintain and enhance AI-augmented release and internal tooling: canary deployments, progressive rollouts, automated release qualification, and rollback automation - with an eye towards LLM automation.
- Set the infrastructure bar for the team - build self-serve tooling, write runbooks, and coach engineers to own more of their stack.
WHAT YOU’LL NEED
- 7+ years in infrastructure, platform engineering, SRE, or DevOps.
- Hands-on ownership of Kubernetes, Helm, and Terraform in production environments.
- Deep experience with observability stacks (Prometheus, Grafana, Datadog) and on-call operations.
- Experience with CI/CD pipeline ownership and developer tooling.
- Ability & willingness to read backend code to understand how systems break and instrument them correctly.
- Fluency with AI tools - LLMs and agentic frameworks to automate, debug faster, and reduce toil.
- A startup-ready mindset: comfortable with ambiguity, moving fast, and owning problems end-to-end.
NICE TO HAVE
- Data pipelines, replication systems, or ETL/ELT platforms.
- Control plane / data plane architectures or internal developer platforms.
- Experience with Airbyte, CDKs, or connector-based architectures.
LOCATION:
- Onsite 5 days/week in San Francisco, CA
If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements!
Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.
Compensation Range: $190K - $220K
Job Roles at Airbyte Companies
How to Get Visa Sponsorship in Airbyte Visa Sponsorship USA
Target engineering and data roles
Airbyte's sponsorship history is concentrated in technical roles. If you're a software engineer, data engineer, or infrastructure specialist, you're applying for the positions most likely to receive H-1B or Green Card support at a company like Airbyte.
Understand Airbyte's open-source model
Airbyte builds open-source data pipelines, so familiarity with its core product signals genuine interest. Candidates who understand the platform's architecture and community stand out during technical screens and are better positioned to negotiate sponsorship commitments.
Ask about Green Card timelines early
Airbyte has sponsored both H-1B and permanent residency pathways. If long-term U.S. authorization matters to you, ask recruiter contacts directly whether the role has a defined Green Card process, ideally before advancing to final rounds.
Use Migrate Mate to verify current openings
Airbyte's hiring volume fluctuates with funding cycles and product roadmap. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and find active Airbyte roles without sorting through positions that don't support visa applicants.
Align your application to Airbyte's growth stage
As a scaling tech company, Airbyte typically prioritizes candidates who can operate with autonomy in fast-moving environments. Demonstrating startup-relevant skills alongside your visa sponsorship needs increases your chances of moving through the process.
Prepare for a technical-first interview process
Airbyte's hiring in the Technology & Software space means interviews are heavily technical. Coming in with strong system design fundamentals and hands-on data integration experience signals you're worth the sponsorship investment the company will be making.
Airbyte jobs are hiring across the US. Find yours.
Find Airbyte JobsSee all 13+ Airbyte jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Airbyte roles.
Get Access To All JobsFrequently Asked Questions
Does Airbyte sponsor H-1B visas?
Yes, Airbyte sponsors H-1B visas. The company operates in the Technology & Software industry and has a history of supporting H-1B petitions for technical roles. If you're targeting Airbyte as an H-1B candidate, focus your application on engineering and data-centric positions, where sponsorship support is most consistently offered.
Which visa types does Airbyte sponsor?
Airbyte sponsors both H-1B nonimmigrant visas and Green Card pathways, including EB-2 and EB-3 immigrant visa categories. This means the company can support candidates at multiple stages of their U.S. immigration journey, from initial work authorization through to permanent residency for qualifying employees in eligible roles.
Which roles at Airbyte are most likely to receive visa sponsorship?
Sponsorship at Airbyte is concentrated in technical functions. Software engineering, data engineering, and infrastructure roles are the strongest candidates for H-1B and Green Card support, given the company's core product focus. Business operations and go-to-market roles may see less consistent sponsorship, so it's worth confirming with a recruiter early in the process.
How do I find visa-sponsored jobs at Airbyte?
Migrate Mate is the most reliable way to find open roles at Airbyte with confirmed sponsorship history. The platform filters job listings by verified sponsorship data so you can focus your time on companies that have actually supported visa applicants, rather than relying on job descriptions that may not reflect real hiring intent.
How do I approach the application timeline when targeting Airbyte as a visa candidate?
Start early, especially if you're relying on H-1B cap sponsorship. Airbyte would need to file a registration in March for an October 1 start date. Build in time for the recruitment process, offer negotiation, and petition preparation. If you're on OPT or a grace period, make sure your current work authorization timeline aligns with these windows before applying.
See which Airbyte employers are hiring and sponsoring visas right now.
Search Airbyte Jobs