Product Engineer Jobs at Confluent with Visa Sponsorship
Confluent hires Product Engineers to build and scale real-time data streaming infrastructure used by enterprises worldwide. The company has a consistent track record of sponsoring work visas for engineering roles, supporting candidates through the full process from initial filing through long-term status.
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Get Access To All JobsINTRODUCTION
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
ABOUT THE ROLE:
As a Senior Software Engineer II at Confluent, you will take ownership of critical backend systems in Stream Governance products that underpin our data streaming platform. You’ll lead the design and delivery of large-scale, distributed services that must be secure, highly available, and easy to operate across regions and clouds.
The Stream Governance product portfolio is crucial to achieving Confluent’s mission to put event streaming at the heart of every organization. Our mission is to provide a robust, cloud-native platform that ensures data quality and integrity by standardizing structure and enforcing intelligent rules across every stream. You will be responsible for delivering critical functionalities like Confluent Schema Registry, Data Contracts, and Policies.
In this role, you will collaborate closely with the team and key stakeholders to design, architect, and develop cloud-native, multi-tenant services for Stream Governance. You will be responsible for guiding the vision, providing technical leadership, mentoring, and enabling a high-performing engineering team to tackle complex distributed data challenges at scale.
You’ll act as a technical leader: setting direction for projects, making architecture decisions, mentoring engineers, and partnering with cross-functional stakeholders to ship high-impact work.
WHAT YOU WILL DO:
- Develop and architect the cloud-native Stream Governance platform - a multi-tenant, highly available, and scalable service for Kafka and real-time data.
- Own and lead the end-to-end design and implementation of complex backend services within a cloud-native, microservices-based environment.
- Drive projects from requirements and design through implementation, rollout, and ongoing operation in production.
- Make architecture and technical decisions that thoughtfully balance reliability, scalability, performance, and operability.
- Solve complicated technical projects with high quality, provide specialized technical guidance to the team, and mentor/support other engineers through code reviews and design reviews.
- Evaluate and enhance the efficiency of our platform's technology stack, ensuring we keep pace with industry trends and adopt state-of-the-art solutions.
- Take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running across 100+ AWS, GCP, and Azure regions.
- Partner across engineering and with other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform.
- Contribute to a culture of continuous improvement, inclusive collaboration, and high technical standards.
WHAT YOU WILL BRING:
- 5+ years of industry experience designing, building, scaling, and operating backend systems in production.
- Deep proficiency in at least one major backend programming language (e.g., Java, Go, C/C++, or Python) and strong fundamentals in data structures, algorithms, and system design.
- Hands-on experience with distributed systems, such as event-driven architectures, high-throughput services, or large-scale data pipelines. A strong understanding of consistency, fault tolerance, and performance tradeoffs.
- Strong experience running production services in a public cloud (AWS, GCP, or Azure), including containerized workloads (e.g., Docker, Kubernetes).
- Expertise in cloud-native technology, including networking & security, and experience being part of an oncall rotation.
- Proven experience in leading and mentoring technical teams.
- A track record of technical leadership: driving projects, influencing architecture, and coordinating work across multiple engineers or teams.
- Strong communication and collaboration skills, with the ability to align stakeholders, explain complex ideas clearly, and drive decisions.
- BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience.
WHAT GIVES YOU AN EDGE:
- Experience building or operating mission-critical, multi-tenant, or multi-region services with strict availability and latency requirements.
- Familiarity with data streaming technologies such as Apache Kafka, Flink, or similar systems.
- Demonstrated impact beyond your immediate team, such as driving cross-org initiatives or technical vision.
- Contributions to open source, technical writing, or speaking that showcase technical depth.
Ready to build what's next? Let’s get in motion.
COME AS YOU ARE
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
PRIVACY STATEMENT
Confluent is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. By proceeding with this application, you understand that Confluent will share your personal information with other IBM affiliates involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.
INTRODUCTION
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
ABOUT THE ROLE:
As a Senior Software Engineer II at Confluent, you will take ownership of critical backend systems in Stream Governance products that underpin our data streaming platform. You’ll lead the design and delivery of large-scale, distributed services that must be secure, highly available, and easy to operate across regions and clouds.
The Stream Governance product portfolio is crucial to achieving Confluent’s mission to put event streaming at the heart of every organization. Our mission is to provide a robust, cloud-native platform that ensures data quality and integrity by standardizing structure and enforcing intelligent rules across every stream. You will be responsible for delivering critical functionalities like Confluent Schema Registry, Data Contracts, and Policies.
In this role, you will collaborate closely with the team and key stakeholders to design, architect, and develop cloud-native, multi-tenant services for Stream Governance. You will be responsible for guiding the vision, providing technical leadership, mentoring, and enabling a high-performing engineering team to tackle complex distributed data challenges at scale.
You’ll act as a technical leader: setting direction for projects, making architecture decisions, mentoring engineers, and partnering with cross-functional stakeholders to ship high-impact work.
WHAT YOU WILL DO:
- Develop and architect the cloud-native Stream Governance platform - a multi-tenant, highly available, and scalable service for Kafka and real-time data.
- Own and lead the end-to-end design and implementation of complex backend services within a cloud-native, microservices-based environment.
- Drive projects from requirements and design through implementation, rollout, and ongoing operation in production.
- Make architecture and technical decisions that thoughtfully balance reliability, scalability, performance, and operability.
- Solve complicated technical projects with high quality, provide specialized technical guidance to the team, and mentor/support other engineers through code reviews and design reviews.
- Evaluate and enhance the efficiency of our platform's technology stack, ensuring we keep pace with industry trends and adopt state-of-the-art solutions.
- Take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running across 100+ AWS, GCP, and Azure regions.
- Partner across engineering and with other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform.
- Contribute to a culture of continuous improvement, inclusive collaboration, and high technical standards.
WHAT YOU WILL BRING:
- 5+ years of industry experience designing, building, scaling, and operating backend systems in production.
- Deep proficiency in at least one major backend programming language (e.g., Java, Go, C/C++, or Python) and strong fundamentals in data structures, algorithms, and system design.
- Hands-on experience with distributed systems, such as event-driven architectures, high-throughput services, or large-scale data pipelines. A strong understanding of consistency, fault tolerance, and performance tradeoffs.
- Strong experience running production services in a public cloud (AWS, GCP, or Azure), including containerized workloads (e.g., Docker, Kubernetes).
- Expertise in cloud-native technology, including networking & security, and experience being part of an oncall rotation.
- Proven experience in leading and mentoring technical teams.
- A track record of technical leadership: driving projects, influencing architecture, and coordinating work across multiple engineers or teams.
- Strong communication and collaboration skills, with the ability to align stakeholders, explain complex ideas clearly, and drive decisions.
- BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience.
WHAT GIVES YOU AN EDGE:
- Experience building or operating mission-critical, multi-tenant, or multi-region services with strict availability and latency requirements.
- Familiarity with data streaming technologies such as Apache Kafka, Flink, or similar systems.
- Demonstrated impact beyond your immediate team, such as driving cross-org initiatives or technical vision.
- Contributions to open source, technical writing, or speaking that showcase technical depth.
Ready to build what's next? Let’s get in motion.
COME AS YOU ARE
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
PRIVACY STATEMENT
Confluent is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. By proceeding with this application, you understand that Confluent will share your personal information with other IBM affiliates involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.
See all 25+ Product Engineer at Confluent jobs
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Get Access To All JobsTips for Finding Product Engineer Jobs at Confluent Jobs
Align your portfolio with streaming systems experience
Confluent's Product Engineers work directly on Kafka-based infrastructure and cloud-native data platforms. Before applying, document projects involving distributed systems, event-driven architecture, or real-time data pipelines, these signal direct relevance to how Confluent's engineering teams operate.
Verify your OPT timeline before accepting an offer
If you're on F-1 OPT, confirm your remaining authorization window against Confluent's typical onboarding lead time. A gap between OPT expiration and H-1B cap-subject start date on October 1 can interrupt employment, so plan filings with that 60-day grace period in mind.
Target Confluent's product-aligned engineering teams directly
Confluent structures Product Engineer roles around specific product areas like Flink, Tableflow, or cloud clusters. Identifying which team owns the product you have depth in, and tailoring your application to that domain, improves your chances of reaching the right hiring manager.
Understand how PERM shapes your long-term sponsorship path
For EB-2 or EB-3 green card sponsorship, Confluent must run a DOL-supervised PERM labor certification before filing your immigrant petition. That process typically takes one to two years on its own, so clarifying green card intent early in offer negotiations avoids surprises later.
Use Migrate Mate to surface open Product Engineer roles at Confluent
Confluent's visa-sponsored Product Engineer openings aren't always easy to filter on general job boards. Use Migrate Mate to browse current listings filtered by sponsorship type and role, so you're targeting positions where sponsorship is already confirmed rather than guessing from a job description.
Clarify TN eligibility if you hold Canadian or Mexican citizenship
Confluent sponsors TN status for qualifying roles, and Product Engineer positions can qualify under the Computer Systems Analyst or Engineer categories depending on your specific job duties. Confirm the role description maps to a TN-eligible occupation before your offer letter is finalized.
Product Engineer at Confluent jobs are hiring across the US. Find yours.
Find Product Engineer at Confluent JobsFrequently Asked Questions
Does Confluent sponsor H-1B visas for Product Engineers?
Yes, Confluent sponsors H-1B visas for Product Engineer roles. The company has an established process for filing cap-subject H-1B petitions through the annual USCIS lottery, as well as cap-exempt filings in certain circumstances. If you're already in H-1B status with another employer, a transfer to Confluent can begin as soon as your petition is filed with USCIS.
How do I apply for Product Engineer jobs at Confluent?
Applications go through Confluent's careers portal, where Product Engineer roles are listed by product area or team. You can also find Confluent's sponsored openings filtered by visa type on Migrate Mate, which makes it easier to confirm sponsorship availability before investing time in an application. Tailoring your resume to the specific product domain the team owns strengthens your submission.
Which visa types does Confluent commonly use for Product Engineer roles?
Confluent supports H-1B, F-1 OPT, TN, and employment-based Green Card categories including EB-2 and EB-3 for Product Engineers. H-1B is the most common path for long-term sponsorship. TN is available to Canadian and Mexican citizens whose role duties align with a qualifying USMCA occupation category. Green Card sponsorship through PERM typically follows after a period of H-1B employment.
What qualifications does Confluent expect for Product Engineer roles?
Confluent's Product Engineer roles typically require a bachelor's degree or higher in computer science, software engineering, or a closely related field, which also satisfies the H-1B specialty occupation requirement. In practice, the company looks for depth in distributed systems, cloud infrastructure, or real-time data technologies. Experience with Apache Kafka, stream processing, or cloud-native platforms is consistently relevant across their Product Engineer openings.
How do I time my application if I'm waiting on an H-1B cap decision?
H-1B cap registrations open in March each year, with employment start dates no earlier than October 1. If Confluent selects you during the lottery, the petition filing window follows selection. Coordinating your offer timeline so your start date falls after October 1 avoids status gaps. If you're already in valid status, you can work under H-1B portability rules while your petition is pending with USCIS.
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