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.
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.
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.
8+ 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 on-call 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.
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.
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.
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: $176K - $230K
