Software Engineer Jobs at Confluent with Visa Sponsorship
Software Engineer jobs at Confluent involve building and scaling real-time data streaming infrastructure, with roles spanning distributed systems, backend development, and platform engineering. The company has a consistent track record of sponsoring work visas for this function, covering both initial work authorization and long-term permanent residence pathways.
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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:
You'll help build Confluent Cloud's AI capabilities — the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale.
As an engineer, you'll own delivery of significant pieces of this product — not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once — the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach.
What You Will Do:
- Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data.
- Own features end to end — drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion.
- Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution.
- Own the quality of what you ship — code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought.
- Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work.
- Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy.
What You Will Bring:
- 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production.
- Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals — containerization, networking, resource isolation.
- Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three.
- A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind.
- Excellent written and verbal communication — you can write a design doc that aligns people who don't report to you.
What Gives You an Edge:
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Exposure to model serving, LLM/agent infrastructure, or streaming data systems.
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You don't need a background in ML research or model training — this role is about building and operating the platform that serves AI reliably at scale, not inventing the models.
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.
Compensation Range: $235.7K - $277K
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Get Access To All JobsTips for Finding Software Engineer Jobs at Confluent
Align your experience with streaming systems
Confluent's engineering roles center on Apache Kafka and distributed systems. Framing your resume around event-driven architecture, low-latency pipelines, or large-scale data infrastructure gives your application direct relevance before a recruiter screens for sponsorship fit.
Target teams filing Labor Condition Applications early
H-1B petitions require a certified LCA from the DOL before USCIS filing. Ask your recruiter which engineering teams have open headcount before the April lottery window so your offer timeline aligns with cap registration in March.
Clarify OPT STEM extension eligibility upfront
F-1 graduates in computer science or engineering qualify for a 24-month STEM OPT extension, giving you up to three years of work authorization. Confirm Confluent's E-Verify enrollment during initial recruiter conversations, as STEM extension requires an E-Verify compliant employer.
Build a portfolio around open source contributions
Confluent engineers contribute to and maintain open source projects in the Kafka ecosystem. Demonstrating active contributions on GitHub strengthens your technical credibility and can accelerate hiring decisions, which matters when your authorization timeline is fixed.
Understand how Green Card sponsorship is structured
For EB-2 and EB-3 sponsorship, employers initiate PERM labor certification through the DOL before filing an I-140 petition with USCIS. Asking during the offer stage which engineering levels typically move into sponsored permanent residence tracks helps you plan your long-term status.
Use Migrate Mate to filter verified sponsoring roles
Not every Software Engineer opening at Confluent will be flagged as sponsor-eligible in a general job search. Use Migrate Mate to surface roles at Confluent that are tied to active sponsorship history, so you're applying where authorization support is confirmed.
Frequently Asked Questions
Does Confluent sponsor H-1B visas for Software Engineers?
Yes, Confluent sponsors H-1B visas for Software Engineers. The company has a documented history of filing H-1B petitions for engineering roles, covering both initial cap-subject petitions and extensions. If you're in the H-1B lottery cycle, timing your offer around the March registration window is critical, as cap-subject petitions must be filed before the federal fiscal year begins on October 1.
Which visa types does Confluent commonly use for Software Engineer roles?
Confluent sponsors H-1B visas for the broadest range of Software Engineer hires. F-1 OPT and STEM OPT extensions are common entry points for recent graduates, providing up to three years of work authorization while H-1B sponsorship is pursued. TN visas are available for Canadian and Mexican nationals in qualifying engineering roles. For longer-term employees, EB-2 and EB-3 Green Card sponsorship through PERM labor certification is a documented pathway.
What qualifications does Confluent expect for Software Engineer roles?
Confluent's Software Engineer roles generally require a bachelor's degree or higher in computer science, software engineering, or a closely related field. Hands-on experience with distributed systems, JVM-based languages such as Java or Scala, and familiarity with Apache Kafka or similar streaming platforms are consistently emphasized. Senior roles expect system design depth and production-scale experience. A matching degree field matters for H-1B specialty occupation eligibility, so avoid mismatches between your credential and the role description.
How do I apply for Software Engineer jobs at Confluent?
You can apply directly through Confluent's careers page. To filter specifically for roles open to visa sponsorship, Migrate Mate aggregates Software Engineer listings at Confluent with sponsorship signals already attached, so you're not guessing which positions will support authorization. Before applying, review whether the role aligns with your visa type's requirements, particularly degree field match for H-1B and E-Verify enrollment confirmation for STEM OPT extension.
How do I time my job search at Confluent around visa deadlines?
If you're targeting H-1B sponsorship, work backward from the April 1 filing window. USCIS opens cap registration in March, so you need a signed offer and a certified LCA from the DOL in place before that deadline. For F-1 students, OPT applications must be filed with USCIS up to 90 days before your program end date. Starting recruiter outreach at Confluent at least four to six months before your authorization expires gives enough runway for both parties.