Jobs

Senior Engineer – Confluent Marketplace - Partner Applied Solution
Remote, Ontario, Canada
·
Remote
·
Full-time
·
1w ago
Required Skills
Java
Backend Engineering
Distributed Systems
API Design
Cloud Infrastructure
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:
The Partner Applied Solutions (PAS) team is part of Confluent’s Partner & Technology Group, which exists to drive cross-functional innovation, productivity, and partner success through deep event streaming expertise.
PAS engineers focus on building partner-enabling tools, frameworks, and systems that bridge the gap between core products and customer solutions. These are engineered assets designed to scale, evolve, and help partners and Confluent teams deliver robust, consistent, and verified event streaming solutions.
The team operates as a small, high-impact engineering group: pragmatic, technical, and deeply integrated with Confluent’s partner and product ecosystem.
As a Senior Engineer in the Partner Applied Solutions team, your first assignment will be to help design and build the platform, services, and workflows that powers Confluent Marketplace end-to-end.
You’ll work across:
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Confluent Cloud APIs and control plane
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Partner and internal services that publish and manage listings
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Confluent Marketplace UI and back-end flows for discovery, try/buy, provisioning, and metering
Your work will enable partners to launch high-quality offerings quickly, and make it radically simpler for customers to adopt those offerings as part of their event streaming architecture.
This role is ideal for someone who enjoys building productized platforms, owning end-to-end flows, and working closely with both internal stakeholders and external partners to shape how the Confluent ecosystem scales.
WHAT YOU WILL DO:
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Design and build confluent marketplace platform services that power listing management, entitlement, provisioning, and lifecycle events for partner offerings.
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Implement end-to-end flows for how customers discover, evaluate, and adopt marketplace solutions directly from Confluent Cloud.
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Integrate with internal and external systems (e.g., billing, identity, metering, partner APIs) to provide a seamless marketplace experience.
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Develop tools and APIs for partners to onboard, validate, publish, and maintain their listings with clear quality and compliance guardrails.
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Own the lifecycle of features and services from design and prototyping through rollout, observability, and continuous improvement.
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Collaborate closely with Product, Partner Engineering, and GTM teams to translate partner and customer needs into platform capabilities that scale.
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Contribute to engineering standards and architecture for the marketplace, ensuring services are maintainable, secure, and resilient.
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Participate in design and code reviews, help shape technical direction, and mentor peers where appropriate.
WHAT YOU WILL BRING:
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Strong backend engineering experience, ideally in Java (experience with Go, Python, or similar languages is a plus).
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Solid understanding of distributed systems and service design, including APIs, data modeling, and asynchronous workflows.
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Experience building productized internal or external platforms (marketplaces, app stores, partner platforms, or similar).
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Familiarity with event-driven architecture and streaming systems (Apache Kafka / Confluent Cloud experience is strongly preferred).
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Strong grounding in cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
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Comfort working with security, identity, and integration surfaces (authentication/authorization, webhooks, partner APIs).
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Excellent collaboration and communication skills, with the ability to align and deliver across Product, Engineering, and partner-facing teams.
WHAT GIVES YOU AN EDGE:
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Experience with commercial or technical marketplaces, app stores, or SaaS ecosystems.
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Hands-on experience with Kafka connectors, data integration systems, or data products that would commonly appear in a marketplace.
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Familiarity with infrastructure-as-code tooling (Terraform, Pulumi, etc.) and CI/CD automation.
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Familiarity with durable execution platforms such as temporal
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Experience working with ISVs, cloud providers, or ecosystem partners, especially where platform capabilities underpin external offerings.
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Background in developer experience or platform tooling, enabling external or internal users to build on top of your services.
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.
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About Confluent
Reviews
3.8
15 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.9
Career
4.0
Management
3.7
72%
Recommend to a Friend
Pros
Competitive compensation packages
Strong equity/RSU offerings
Interesting and core technical work
Cons
Uncertainty due to IBM acquisition
Pre-IPO risk and equity valuation concerns
Lower total compensation compared to big tech
Salary Ranges
21 data points
Mid/L4
Director
Mid/L4 · Advisory Sales Enablement Lead
1 reports
$173,508
total / year
Base
$150,876
Stock
-
Bonus
-
$173,508
$173,508
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
100%
Experience
Positive 50%
Neutral 50%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
System Design Interview
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
News & Buzz
Great Lakes Advisors LLC Trims Stake in Confluent, Inc. $CFLT - MarketBeat
Source: MarketBeat
News
·
4w ago
Confluent, Inc. (NASDAQ:CFLT) Receives Consensus Recommendation of "Hold" from Analysts - MarketBeat
Source: MarketBeat
News
·
5w ago
IBM accelerates cloud drive with $11 billion Confluent deal - MSN
Source: MSN
News
·
5w ago
IBM agrees $11bn Confluent deal - Financier Worldwide
Source: Financier Worldwide
News
·
6w ago