Engineering Jobs at Confluent with Visa Sponsorship
Confluent builds the infrastructure that powers real-time data streaming, and its Engineering teams work across distributed systems, cloud infrastructure, and platform development. Confluent has a consistent track record of sponsoring work visas for qualified Engineers, covering both nonimmigrant and immigrant pathways.
See All Engineering at Confluent JobsOverview
Showing 5 of 36+ Engineering Jobs at Confluent 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 36+ Engineering Jobs at Confluent
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Jobs at Confluent.
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:
Most companies are still figuring out where AI fits. At Confluent, we're moving past that question — and building the infrastructure that makes AI a trusted, supervised part of how work actually gets done. As Director of Applied AI Engineering, you will own that foundation: the agent orchestration platform, LLM gateway, runtime guardrails, audit logging, and the full lifecycle infrastructure that turns AI experimentation into durable business execution. This is a rare opportunity to shape something from the ground up — hiring the team, setting the architecture, and staying hands-on as a technical contributor to the platform itself. You won't just lead the work; you'll be in it. You will work closely with leaders across Sales, Support, Product, Marketing, Finance, and Legal, ensuring the platform you build accelerates the workflows that most directly influence revenue, customer trust, and monetization speed — with reliability, security, and human oversight built in from the start.
WHAT YOU WILL DO:
- Own and deliver the Applied AI platform layer — including LLM gateway and model routing, agent orchestration framework, HITL infrastructure, agent lifecycle management, identity and access controls, runtime guardrails, audit logging, cost governance, and kill-switch infrastructure
- Build and lead a high-performing Applied AI engineering team, establishing the engineering culture, standards, and delivery practices
- Design and ship a portfolio of agent builder capabilities spanning no-code tooling through high-complexity programmatic frameworks, enabling both technical and non-technical teams to deploy agents on a shared, governed platform
- Partner with ACE (AI Center of Enablement) functional leads and business stakeholders across Sales, Support, Product, Marketing, Finance, and Legal to translate workflow acceleration goals into platform requirements, ensuring infrastructure keeps pace with deployment demand
- Establish and own the risk and reliability posture for all agent workloads — including runtime security enforcement, escalation thresholds, override monitoring, and compliance controls
WHAT YOU WILL BRING:
- 5+ years of engineering leadership experience, with a track record of building and shipping production-grade platform, developer tooling, or internal application systems
- Strong technical depth in platform design and distributed systems, with the ability to set architectural direction and make principled decisions around shared infrastructure vs. point solutions
- Experience building developer-facing platforms or internal applications that serve audiences of varying technical sophistication — from engineers to non-technical business users
- Experience leading or operating within an AI-native engineering team that actively uses AI-assisted development practices and tooling to design, build, and ship software
- Proven ability to partner cross-functionally and translate ambiguous business problems into clear platform requirements and engineering roadmaps
WHAT GIVES YOU AN EDGE:
- Experience building internal AI platforms or developer tooling at an enterprise SaaS, hyperscaler, or AI-native company
- Familiarity with agent orchestration frameworks (e.g., LangGraph, Semantic Kernel, CrewAI) and LLM gateway or routing patterns
- Background working in environments with explicit security, compliance, or audit requirements — financial services, healthcare tech, or regulated enterprise SaaS
- Experience designing no-code or low-code builder surfaces alongside programmatic APIs on a shared underlying platform
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:
Most companies are still figuring out where AI fits. At Confluent, we're moving past that question — and building the infrastructure that makes AI a trusted, supervised part of how work actually gets done. As Director of Applied AI Engineering, you will own that foundation: the agent orchestration platform, LLM gateway, runtime guardrails, audit logging, and the full lifecycle infrastructure that turns AI experimentation into durable business execution. This is a rare opportunity to shape something from the ground up — hiring the team, setting the architecture, and staying hands-on as a technical contributor to the platform itself. You won't just lead the work; you'll be in it. You will work closely with leaders across Sales, Support, Product, Marketing, Finance, and Legal, ensuring the platform you build accelerates the workflows that most directly influence revenue, customer trust, and monetization speed — with reliability, security, and human oversight built in from the start.
WHAT YOU WILL DO:
- Own and deliver the Applied AI platform layer — including LLM gateway and model routing, agent orchestration framework, HITL infrastructure, agent lifecycle management, identity and access controls, runtime guardrails, audit logging, cost governance, and kill-switch infrastructure
- Build and lead a high-performing Applied AI engineering team, establishing the engineering culture, standards, and delivery practices
- Design and ship a portfolio of agent builder capabilities spanning no-code tooling through high-complexity programmatic frameworks, enabling both technical and non-technical teams to deploy agents on a shared, governed platform
- Partner with ACE (AI Center of Enablement) functional leads and business stakeholders across Sales, Support, Product, Marketing, Finance, and Legal to translate workflow acceleration goals into platform requirements, ensuring infrastructure keeps pace with deployment demand
- Establish and own the risk and reliability posture for all agent workloads — including runtime security enforcement, escalation thresholds, override monitoring, and compliance controls
WHAT YOU WILL BRING:
- 5+ years of engineering leadership experience, with a track record of building and shipping production-grade platform, developer tooling, or internal application systems
- Strong technical depth in platform design and distributed systems, with the ability to set architectural direction and make principled decisions around shared infrastructure vs. point solutions
- Experience building developer-facing platforms or internal applications that serve audiences of varying technical sophistication — from engineers to non-technical business users
- Experience leading or operating within an AI-native engineering team that actively uses AI-assisted development practices and tooling to design, build, and ship software
- Proven ability to partner cross-functionally and translate ambiguous business problems into clear platform requirements and engineering roadmaps
WHAT GIVES YOU AN EDGE:
- Experience building internal AI platforms or developer tooling at an enterprise SaaS, hyperscaler, or AI-native company
- Familiarity with agent orchestration frameworks (e.g., LangGraph, Semantic Kernel, CrewAI) and LLM gateway or routing patterns
- Background working in environments with explicit security, compliance, or audit requirements — financial services, healthcare tech, or regulated enterprise SaaS
- Experience designing no-code or low-code builder surfaces alongside programmatic APIs on a shared underlying platform
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 36+ Engineering at Confluent jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering at Confluent roles.
Get Access To All JobsTips for Finding Engineering Jobs at Confluent Jobs
Align your resume to distributed systems depth
Confluent's Engineering roles center on Kafka internals, stream processing, and cloud-native infrastructure. Framing your resume around specific contributions to high-throughput or low-latency systems signals the technical depth their hiring bar demands.
Target roles that map to your degree field
H-1B eligibility requires your degree to match the specialty occupation. For Confluent Engineering roles, degrees in Computer Science, Electrical Engineering, or Software Engineering map cleanly. A mismatch between your field and the job description creates unnecessary friction at the USCIS petition stage.
Use Migrate Mate to filter open Engineering roles
Confluent posts Engineering roles across infrastructure, platform, and developer experience teams, and availability shifts quickly. Use Migrate Mate to browse current openings filtered by visa sponsorship so you're applying to live roles, not stale listings.
Clarify sponsorship scope before accepting an offer
Confluent sponsors both nonimmigrant visas and permanent residence pathways, but employer support for Green Card filing varies by team and tenure. Confirm during offer negotiation whether PERM sponsorship is included and what the expected timeline looks like.
Prepare for a technical interview process that spans multiple rounds
Confluent's Engineering interviews typically include system design, coding, and domain-specific rounds. If you're on OPT with a tight expiration window, calculate your F-1 OPT end date against the interview timeline to ensure your status covers the full hiring process.
Request premium processing if your start date is fixed
USCIS premium processing for H-1B petitions guarantees a decision within 15 business days. If your current status expires close to your target start date, ask your Confluent recruiter whether the company files premium as standard or on request.
Engineering at Confluent jobs are hiring across the US. Find yours.
Find Engineering at Confluent JobsFrequently Asked Questions
Does Confluent sponsor H-1B visas for Engineers?
Yes, Confluent sponsors H-1B visas for qualifying Engineering roles. The company files both cap-subject petitions for new hires and cap-exempt transfers for candidates already holding H-1B status with another employer. Your role must qualify as a specialty occupation, which requires a bachelor's degree or higher in a directly related field such as Computer Science or Software Engineering.
How do I apply for Engineering jobs at Confluent?
Applications go through Confluent's careers page, where Engineering roles are listed by team and location. To find roles filtered specifically by visa sponsorship availability, Migrate Mate aggregates Confluent's open Engineering positions so you can confirm sponsorship eligibility before investing time in the application process. Tailor your application to the specific team's technical focus, whether that's Kafka core, cloud platform, or developer tooling.
Which visa types does Confluent commonly sponsor for Engineering roles?
Confluent sponsors H-1B visas for most Engineering hires and supports F-1 OPT extensions, including the 24-month STEM OPT extension for eligible graduates. TN visas are an option for Canadian and Mexican nationals in qualifying Engineering classifications. For longer-term immigration, Confluent has sponsored EB-2 and EB-3 immigrant visa petitions, which involve PERM labor certification filed with the DOL before an immigrant petition can proceed.
What qualifications and experience does Confluent expect for Engineering roles?
Most Engineering roles at Confluent expect a bachelor's degree or higher in Computer Science, Software Engineering, or a closely related field, alongside hands-on experience with distributed systems, cloud infrastructure, or stream processing. For senior roles, deep familiarity with Apache Kafka, JVM internals, or large-scale data pipelines is often expected rather than a nice-to-have. Beyond credentials, Confluent's technical bar is high, so preparation for system design and architecture interviews matters.
How do I plan my timeline if Confluent is sponsoring my H-1B?
Cap-subject H-1B petitions can only be filed once per year, with registration opening in March and the earliest employment start date of October 1. If you're on F-1 OPT, confirm your OPT expiration against that October start date. If there's a gap, a timely OPT extension application filed with USCIS at least 90 days before expiration can bridge the period. Confluent typically initiates the petition process well before the April filing window, so engage your recruiter early on timing.
See which Engineering at Confluent employers are hiring and sponsoring visas right now.
Search Engineering at Confluent Jobs