DataVisor Visa Sponsorship Jobs USA
DataVisor is a fraud detection and AI-driven financial security company with a track record of sponsoring skilled workers in the U.S. across both work visas and permanent residency pathways. For international candidates in technology and software roles, DataVisor represents a genuine sponsorship opportunity with experience navigating multiple visa categories.
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DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Summary
As part of the Platform Engineering team, you will help build DataVisor’s next-generation machine learning platform, combining our proprietary unsupervised machine learning technology with supervised machine learning algorithms to power real-time fraud detection at scale.
As fraud attacks become increasingly sophisticated, real-time detection is more critical than ever. Our platform team is responsible for designing and developing the architecture that makes scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection capabilities.
We are looking for a creative, hands-on engineering leader to help expand our streaming and database systems, improve our core detection algorithms, and automate the end-to-end training process. This role is ideal for someone who enjoys solving complex distributed systems problems, mentoring engineers, and driving technical execution in a high-impact environment.
Join us as we continue to push the boundaries of fraud detection, machine learning infrastructure, and large-scale data processing.
What You’ll Do
- Own the technical direction of the real-time detection platform, including streaming, storage, and the training pipelines that support it.
- Translate product and engineering roadmaps into clear technical plans, milestones, and execution priorities.
- Proactively identify technical risks, dependencies, and trade-offs before they impact delivery.
- Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
- Stay hands-on by coding, reviewing code, debugging issues, and supporting the team during production incidents.
- Mentor engineers and raise the bar for system design, code quality, operational excellence, and technical execution.
- Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention.
- Partner directly with Product, TAM, and customer-facing teams on customer-impacting issues, ensuring clear impact assessment, prioritization, ownership, and next steps.
- Define how the team uses AI agents and AI-assisted tools in engineering workflows, including verification standards and safe usage practices.
- Build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations use cases, such as triage, root-cause analysis, alert summarization, and evaluation harnesses.
Requirements
- 8+ years of software development experience.
- 2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
- Proven ability to lead technical outcomes across a team, including work you did not personally implement.
- Deep production experience with Java, along with working proficiency in Python and Shell scripting.
- Experience designing, building, shipping, and operating distributed real-time systems at scale.
- Strong knowledge of computer systems, relational databases, and SQL.
- Experience building and optimizing multithreaded and concurrent applications.
- Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka.
- Experience with the Spring Framework.
- Demonstrated use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in real production work.
- Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected.
- Strong verification discipline, with the ability to validate model outputs against source code, logs, documentation, and production behavior.
- Bachelor’s degree in Computer Science or a related field is required.
Preferred Qualifications
- Experience in fraud, risk, payments, financial services, or another domain where false negatives carry significant business or customer impact.
- Experience owning ML platforms or large-scale training pipelines.
- Experience with Kubernetes.
- Experience building with LLM APIs, agent frameworks, tool calling, RAG, or MCP.
- Experience writing evaluations or regression tests for non-deterministic systems.
- Experience hiring, managing, or mentoring engineers.
- Experience with test-driven development.
Benefits
- Base salary range: $170,000–$220,000, commensurate with experience.
- Health insurance, 401(k), PTO, Equity.
About DataVisor
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Summary
As part of the Platform Engineering team, you will help build DataVisor’s next-generation machine learning platform, combining our proprietary unsupervised machine learning technology with supervised machine learning algorithms to power real-time fraud detection at scale.
As fraud attacks become increasingly sophisticated, real-time detection is more critical than ever. Our platform team is responsible for designing and developing the architecture that makes scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection capabilities.
We are looking for a creative, hands-on engineering leader to help expand our streaming and database systems, improve our core detection algorithms, and automate the end-to-end training process. This role is ideal for someone who enjoys solving complex distributed systems problems, mentoring engineers, and driving technical execution in a high-impact environment.
Join us as we continue to push the boundaries of fraud detection, machine learning infrastructure, and large-scale data processing.
What You’ll Do
- Own the technical direction of the real-time detection platform, including streaming, storage, and the training pipelines that support it.
- Translate product and engineering roadmaps into clear technical plans, milestones, and execution priorities.
- Proactively identify technical risks, dependencies, and trade-offs before they impact delivery.
- Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
- Stay hands-on by coding, reviewing code, debugging issues, and supporting the team during production incidents.
- Mentor engineers and raise the bar for system design, code quality, operational excellence, and technical execution.
- Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention.
- Partner directly with Product, TAM, and customer-facing teams on customer-impacting issues, ensuring clear impact assessment, prioritization, ownership, and next steps.
- Define how the team uses AI agents and AI-assisted tools in engineering workflows, including verification standards and safe usage practices.
- Build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations use cases, such as triage, root-cause analysis, alert summarization, and evaluation harnesses.
Requirements
- 8+ years of software development experience.
- 2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
- Proven ability to lead technical outcomes across a team, including work you did not personally implement.
- Deep production experience with Java, along with working proficiency in Python and Shell scripting.
- Experience designing, building, shipping, and operating distributed real-time systems at scale.
- Strong knowledge of computer systems, relational databases, and SQL.
- Experience building and optimizing multithreaded and concurrent applications.
- Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka.
- Experience with the Spring Framework.
- Demonstrated use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in real production work.
- Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected.
- Strong verification discipline, with the ability to validate model outputs against source code, logs, documentation, and production behavior.
- Bachelor’s degree in Computer Science or a related field is required.
Preferred Qualifications
- Experience in fraud, risk, payments, financial services, or another domain where false negatives carry significant business or customer impact.
- Experience owning ML platforms or large-scale training pipelines.
- Experience with Kubernetes.
- Experience building with LLM APIs, agent frameworks, tool calling, RAG, or MCP.
- Experience writing evaluations or regression tests for non-deterministic systems.
- Experience hiring, managing, or mentoring engineers.
- Experience with test-driven development.
Benefits
- Base salary range: $170,000–$220,000, commensurate with experience.
- Health insurance, 401(k), PTO, Equity.
Job Roles at DataVisor
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Get Access To All JobsTips for Finding DataVisor Visa Sponsorship Jobs USA
Target AI and machine learning roles first
DataVisor's core product is built on AI-driven fraud detection, so engineering and data science roles are where sponsorship is most consistently available. Prioritize positions where your skills align directly with their machine learning and fraud analytics technology.
Understand which visa pathways DataVisor uses
DataVisor sponsors both H-1B and employment-based Green Cards, including EB-2 and EB-3 categories. Knowing this upfront lets you ask informed questions about long-term sponsorship plans during interviews, signaling you've done your homework on their immigration track record.
Raise sponsorship early in the process
At a company DataVisor's size, immigration decisions often involve HR and legal counsel early. Bring up your visa needs before the offer stage so there are no surprises, DataVisor has a track record of sponsoring, but timeline coordination matters for smaller teams.
Highlight specialization in fraud detection or fintech security
DataVisor serves financial institutions and platforms fighting fraud at scale. Candidates with domain experience in financial crime, trust and safety, or risk modeling stand out and are more likely to receive sponsorship offers for hard-to-fill specialized roles.
Search for DataVisor roles through a verified sponsorship platform
Not every job listing makes sponsorship status obvious. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you confirm DataVisor is actively hiring visa-eligible candidates before you spend time on an application.
Prepare for a technical-heavy interview process
DataVisor's engineering bar reflects its AI-first product. Strong performance in technical rounds is what moves sponsorship conversations forward, demonstrated expertise in ML, data infrastructure, or backend systems directly strengthens the case for the company to invest in your visa process.
Frequently Asked Questions
Does DataVisor sponsor H-1B visas?
Yes, DataVisor sponsors H-1B visas for qualifying roles, primarily in technology and software. The company has an established history of filing H-1B petitions for skilled workers in engineering, data science, and related technical disciplines. If you're in a specialty occupation that aligns with DataVisor's AI and fraud detection products, H-1B sponsorship is a realistic pathway.
What visa types does DataVisor sponsor beyond H-1B?
DataVisor sponsors both H-1B work visas and employment-based Green Cards, including EB-2 and EB-3 classifications. The presence of Green Card sponsorship is a strong signal for candidates thinking long-term, it indicates DataVisor is willing to invest in permanent residency support, not just temporary work authorization, for high-value employees.
Which departments or roles at DataVisor are most likely to receive visa sponsorship?
Sponsorship at DataVisor is most concentrated in technical roles, particularly software engineering, machine learning, and data science. These functions sit at the core of DataVisor's fraud detection platform and represent the highest hiring demand. Product and research roles with strong technical requirements may also be eligible, though sponsorship availability in non-technical functions is less consistent.
How do I find current visa-sponsored job openings at DataVisor?
Migrate Mate is the most reliable way to browse DataVisor's open roles with confirmed sponsorship history. Rather than guessing which listings will support visa candidates, Migrate Mate filters by verified sponsors so you can see DataVisor's active postings alongside their real immigration track record, saving you time and reducing uncertainty in your job search.
How do I approach the application timeline if I need H-1B sponsorship at DataVisor?
H-1B cap-subject petitions must be filed in April for an October start date, so timing your offer and onboarding matters significantly. Start your application process at DataVisor at least several months before the registration window opens. If you're already on a valid status such as OPT or a prior H-1B, DataVisor may be able to file outside the cap or bridge your status while your petition is pending, clarify this with their HR team early.