Senior Software Engineer

Confluent

Senior Software Engineer II at Confluent, developing cloud-native solutions for data streaming platforms. Leading technical architecture and mentoring within a high-performing engineering team.

Posted 5/20/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $197,400 - $232,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaKafkaKubernetesMicroservicesPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

7+ 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.

Benefits

Comp & perks

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Hard Skills & Tools

JavaGoC/C++Pythondata structuresalgorithmssystem designdistributed systemsevent-driven architecturescloud-native technology

Soft Skills

technical leadershipmentoringcommunicationcollaborationstakeholder alignmentproblem-solvingcontinuous improvementinclusivitytechnical guidancedesign reviews

Certifications

BS in computer scienceMS in computer sciencePhD in computer scienceequivalent practical experience