Engineering Jobs at Snowflake with Visa Sponsorship
Engineering jobs at Snowflake span its full engineering stack, from distributed systems and data infrastructure to cloud platform and ML engineering. The company has a consistent track record of sponsoring international engineers at multiple stages, covering both nonimmigrant work visas and permanent residence pathways.
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Get Access To All JobsAt Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Build the foundation for faster, safer innovation.
Snowflake’s AI Data Cloud supports critical enterprise workloads across multiple clouds and regions. As AI accelerates software development, the volume and pace of change are outgrowing what engineers can manually review, coordinate, and monitor. Moving faster requires systems that make safe delivery and trustworthy experimentation an integral part of how engineering works.
The Parameters & Experimentation team builds the configuration, feature-flagging, and experimentation infrastructure that enables Snowflake engineers to introduce capabilities, control exposure, and measure outcomes. We’re looking for a hands-on Principal Software Engineer I to help build its next generation, combining deep distributed-systems engineering with an AI-first approach to developer productivity and operational intelligence.
You will shape technical direction, solve challenging systems problems, and lead initiatives across engineering teams. The opportunity is to build the next-generation platform so that increasing development velocity translates into faster customer value without relying on ever-increasing manual oversight.
AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:
- Architect and build distributed infrastructure. Design scalable configuration and feature-flag services with low-latency evaluation, clear consistency guarantees, fault isolation, and predictable behavior during failures.
- Make a safety scale with change velocity. Build automated validation, targeted exposure, progressive rollouts, health-based guardrails, and dependable rollback. Reduce manual coordination while making changes observable, auditable, and recoverable.
- Advance experimentation. Partner with engineering and data science teams to build reliable assignment, exposure tracking, and measurement infrastructure that helps teams evaluate changes and make evidence-based decisions.
- Build and work AI-first. Make AI integral to how you design, implement, test, and operate software. Embed AI-powered capabilities into the platform for configuration discovery, risk assessment, rollout planning, and impact analysis. Establish rigorous evaluation, security, and reliability standards for these capabilities, and drive adoption of AI-first practices across the team.
- Lead from architecture through adoption. Translate ambiguous needs into practical designs and milestones. Deliver intuitive APIs, libraries, and self-service tools; guide incremental migrations and simplify the full lifecycle from flag creation to retirement.
- Raise the engineering bar. Write and review production code, diagnose complex failures, own operational outcomes, and mentor engineers. Influence across teams through technical depth, clear communication, and sound judgment.
OUR IDEAL PRINCIPAL SOFTWARE ENGINEER WILL HAVE:
- 12+ years of software engineering experience, including technical leadership of complex backend or infrastructure initiatives spanning multiple teams.
- Deep experience designing, building, and operating large-scale distributed systems, with strong understanding of concurrency, consistency, caching, failure recovery, and performance.
- Strong computer science fundamentals and hands-on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud.
- An AI-first engineering practice: you actively use AI throughout the software lifecycle and can demonstrate how it improves your execution, problem-solving, and quality. You are ready to build AI-powered platform capabilities and help others adopt this approach.
- A track record of turning ambiguous problems into delivered systems, balancing architectural investments with incremental progress, and driving adoption across engineering organizations.
- Clear written communication, low-ego collaboration, strong ownership, and experience mentoring senior engineers.
- A degree in Computer Science or a related field, or equivalent practical experience.
Especially relevant: Experience with feature-flag or configuration platforms, distributed control planes, progressive delivery, experimentation infrastructure, or AI-powered developer tools.
Help build the systems that let engineers innovate faster than manual processes can support, with the evidence and safeguards that critical workloads demand.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
COMPENSATION
- The estimated base salary range for this role is $264,000 - $379,500.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Build the foundation for faster, safer innovation.
Snowflake’s AI Data Cloud supports critical enterprise workloads across multiple clouds and regions. As AI accelerates software development, the volume and pace of change are outgrowing what engineers can manually review, coordinate, and monitor. Moving faster requires systems that make safe delivery and trustworthy experimentation an integral part of how engineering works.
The Parameters & Experimentation team builds the configuration, feature-flagging, and experimentation infrastructure that enables Snowflake engineers to introduce capabilities, control exposure, and measure outcomes. We’re looking for a hands-on Principal Software Engineer I to help build its next generation, combining deep distributed-systems engineering with an AI-first approach to developer productivity and operational intelligence.
You will shape technical direction, solve challenging systems problems, and lead initiatives across engineering teams. The opportunity is to build the next-generation platform so that increasing development velocity translates into faster customer value without relying on ever-increasing manual oversight.
AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:
- Architect and build distributed infrastructure. Design scalable configuration and feature-flag services with low-latency evaluation, clear consistency guarantees, fault isolation, and predictable behavior during failures.
- Make a safety scale with change velocity. Build automated validation, targeted exposure, progressive rollouts, health-based guardrails, and dependable rollback. Reduce manual coordination while making changes observable, auditable, and recoverable.
- Advance experimentation. Partner with engineering and data science teams to build reliable assignment, exposure tracking, and measurement infrastructure that helps teams evaluate changes and make evidence-based decisions.
- Build and work AI-first. Make AI integral to how you design, implement, test, and operate software. Embed AI-powered capabilities into the platform for configuration discovery, risk assessment, rollout planning, and impact analysis. Establish rigorous evaluation, security, and reliability standards for these capabilities, and drive adoption of AI-first practices across the team.
- Lead from architecture through adoption. Translate ambiguous needs into practical designs and milestones. Deliver intuitive APIs, libraries, and self-service tools; guide incremental migrations and simplify the full lifecycle from flag creation to retirement.
- Raise the engineering bar. Write and review production code, diagnose complex failures, own operational outcomes, and mentor engineers. Influence across teams through technical depth, clear communication, and sound judgment.
OUR IDEAL PRINCIPAL SOFTWARE ENGINEER WILL HAVE:
- 12+ years of software engineering experience, including technical leadership of complex backend or infrastructure initiatives spanning multiple teams.
- Deep experience designing, building, and operating large-scale distributed systems, with strong understanding of concurrency, consistency, caching, failure recovery, and performance.
- Strong computer science fundamentals and hands-on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud.
- An AI-first engineering practice: you actively use AI throughout the software lifecycle and can demonstrate how it improves your execution, problem-solving, and quality. You are ready to build AI-powered platform capabilities and help others adopt this approach.
- A track record of turning ambiguous problems into delivered systems, balancing architectural investments with incremental progress, and driving adoption across engineering organizations.
- Clear written communication, low-ego collaboration, strong ownership, and experience mentoring senior engineers.
- A degree in Computer Science or a related field, or equivalent practical experience.
Especially relevant: Experience with feature-flag or configuration platforms, distributed control planes, progressive delivery, experimentation infrastructure, or AI-powered developer tools.
Help build the systems that let engineers innovate faster than manual processes can support, with the evidence and safeguards that critical workloads demand.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
COMPENSATION
- The estimated base salary range for this role is $264,000 - $379,500.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
See all Engineering Jobs at Snowflake
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Jobs at Snowflake.
Get Access To All JobsTips for Finding Engineering Jobs at Snowflake
Align your experience with Snowflake's core infrastructure
Snowflake's engineering roles cluster around distributed systems, cloud data platforms, and query optimization. Frame your resume around these competencies directly. Generic software engineering experience gets filtered out early in Snowflake's technical screening process.
Clarify your visa status before your first interview
Snowflake's recruiting team needs to route your application through their immigration process early. Stating your status and work authorization timeline upfront in your application prevents delays when an offer is ready to move forward.
Understand how OPT timing interacts with H-1B cap deadlines
If you're on F-1 OPT, your start date and STEM extension eligibility must align with the H-1B cap registration window in March. Missing that window means waiting another year, so plan your job search timeline around it, not your graduation date.
Prepare for Snowflake's technical interview depth
Snowflake's engineering interviews include systems design rounds focused on large-scale data processing. Prepare documentation of projects involving high-throughput pipelines, distributed storage, or cloud-native architecture. This directly strengthens your specialty occupation case for USCIS adjudication.
Use Migrate Mate to filter verified Engineering sponsorship roles
Not all open engineering roles at Snowflake are available to visa candidates at the same time. Use Migrate Mate to surface the current openings where sponsorship is confirmed, so you're applying to roles that are actually in scope for international candidates.
Sequence your Green Card conversation around your offer negotiation
Snowflake supports PERM-based Green Card filings, but the process is employer-initiated and timing varies by team and headcount. Raising the topic during offer negotiation, before you sign, gives you the clearest picture of where and when they'll start the process.
Frequently Asked Questions
Does Snowflake sponsor H-1B visas for Engineers?
Yes, Snowflake sponsors H-1B visas for qualifying engineering roles. Engineering positions at Snowflake typically meet the USCIS specialty occupation standard given the degree requirements in computer science, software engineering, or a related technical field. If you're already in H-1B status with another employer, Snowflake can file an H-1B transfer so you can start without waiting for a new cap slot.
How do I apply for Engineering jobs at Snowflake?
Apply through Snowflake's careers portal and indicate your work authorization status in the application. Engineering roles at Snowflake go through multiple technical rounds, including a systems design interview and a coding assessment. Disclosing your visa situation early prevents friction when the team is ready to extend an offer and initiate sponsorship paperwork.
Which visa types does Snowflake commonly use for Engineering roles?
Snowflake sponsors H-1B, TN visa, and F-1 OPT and CPT for engineering roles, with H-1B being the primary long-term work visa. For engineers pursuing permanent residence, Snowflake supports EB-2 and EB-3 Green Card filings through the PERM labor certification process. J-1 visa sponsorship is less common for engineering but has been used for certain internship and research-adjacent roles.
What qualifications does Snowflake expect for Engineering candidates who need visa sponsorship?
Snowflake's engineering roles generally require a bachelor's degree or higher in computer science, software engineering, electrical engineering, or a closely related field. For USCIS H-1B purposes, the degree must correspond directly to the role's duties. Beyond credentials, Snowflake prioritizes hands-on experience with distributed systems, cloud infrastructure, or large-scale data platforms, since their technical bar reflects the complexity of what they build.
How do I find Engineering jobs at Snowflake that are open to visa sponsorship?
Not every open engineering role at Snowflake is actively recruiting international candidates at the same time. Migrate Mate aggregates and filters Snowflake's engineering openings by visa sponsorship eligibility, so you can focus your application effort on roles where sponsorship is currently available rather than discovering the limitation after a multi-round interview process.