Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Docker @ 7
Go @ 7
Kafka @ 4
Kubernetes @ 7
Python @ 7
GCP @ 4
Java @ 7
Algorithms @ 7
Data Structures @ 7
Distributed Systems @ 7
Flink @ 3
Leadership @ 4
AWS @ 4
Azure @ 4
Communication @ 7
Mentoring @ 6
Networking @ 4
React @ 4
Microservices @ 4
Technical Leadership @ 4
Data Pipelines @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Confluent is seeking a Senior Software Engineer to take ownership of critical backend systems in the Stream Governance product portfolio. You will design and deliver cloud-native, multi-tenant, highly available distributed services (including Confluent Schema Registry, Data Contracts, and Policies) that run across regions and clouds. You will provide technical leadership, mentor engineers, and partner with stakeholders to ship reliable, scalable services.
Responsibilities
- 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 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 and design reviews.
- Evaluate and enhance the efficiency of the platform's technology stack and adopt state-of-the-art solutions as appropriate.
- Develop, manage, and maintain mission-critical services with a 99.99% SLA running across 100+ AWS, GCP, and Azure regions.
- Partner across engineering and with other stakeholders to create and execute the roadmap for the Data Streaming Platform.
- Contribute to a culture of continuous improvement, inclusive collaboration, and high technical standards.
Requirements
- 4+ years of industry experience designing, building, scaling, and operating backend systems in production.
- Deep proficiency in at least one major backend programming language (examples listed: 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; 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 participating in an on-call rotation.
- Proven experience in leading and mentoring technical teams; demonstrated track record of technical leadership, driving projects, influencing architecture, and coordinating cross-team work.
- Strong communication and collaboration skills; ability to align stakeholders and explain complex ideas clearly.
- BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience.
What Gives You an Edge
- 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 (e.g., driving cross-org initiatives or technical vision).
- Contributions to open source, technical writing, or speaking that showcase technical depth.
Company & Privacy
Come As You Are: Confluent emphasizes belonging, inclusive collaboration, and equal opportunity. Employment decisions are based on job-related criteria without regard to protected classifications.
Privacy Statement: Confluent (an IBM subsidiary) will share applicant personal information with IBM affiliates involved in the recruitment process. More information on data protection and cross-border safeguards is available via IBM's careers privacy policy.