Weâre not just building better tech. Weâre rewriting how data moves and what the world can do with it. With Confluent, data doesnât 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.
The Partner Applied Solutions (PAS) team is part of Confluentâs 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 Confluentâs 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.
Youâll work across:
Confluent Cloud APIs and control plane
Partner and internal services that publish and manage listings
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.
Design and build confluent marketplace platform services that power listing management, entitlement, provisioning, and lifecycle events for partner offerings.
Implement end-to-end flows for how customers discover, evaluate, and adopt marketplace solutions directly from Confluent Cloud.
Integrate with internal and external systems (e.g., billing, identity, metering, partner APIs) to provide a seamless marketplace experience.
Develop tools and APIs for partners to onboard, validate, publish, and maintain their listings with clear quality and compliance guardrails.
Own the lifecycle of features and services from design and prototyping through rollout, observability, and continuous improvement.
Collaborate closely with Product, Partner Engineering, and GTM teams to translate partner and customer needs into platform capabilities that scale.
Contribute to engineering standards and architecture for the marketplace, ensuring services are maintainable, secure, and resilient.
Participate in design and code reviews, help shape technical direction, and mentor peers where appropriate.
Strong backend engineering experience, ideally in Java (experience with Go, Python, or similar languages is a plus).
Solid understanding of distributed systems and service design, including APIs, data modeling, and asynchronous workflows.
Experience building productized internal or external platforms (marketplaces, app stores, partner platforms, or similar).
Familiarity with event-driven architecture and streaming systems (Apache Kafka / Confluent Cloud experience is strongly preferred).
Strong grounding in cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Comfort working with security, identity, and integration surfaces (authentication/authorization, webhooks, partner APIs).
Excellent collaboration and communication skills, with the ability to align and deliver across Product, Engineering, and partner-facing teams.
Experience with commercial or technical marketplaces, app stores, or SaaS ecosystems.
Hands-on experience with Kafka connectors, data integration systems, or data products that would commonly appear in a marketplace.
Familiarity with infrastructure-as-code tooling (Terraform, Pulumi, etc.) and CI/CD automation.
Familiarity with durable execution platforms such as temporal
Experience working with ISVs, cloud providers, or ecosystem partners, especially where platform capabilities underpin external offerings.
Background in developer experience or platform tooling, enabling external or internal users to build on top of your services.
Belonging isnât a perk here. Itâs 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 whatâs possible.
Weâre 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.