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Senior Software Engineers II at Confluent take ownership of critical backend systems 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. This is a general L4 backend role used across multiple teams. Depending on your background, you may focus on areas like core platform services, governance and metadata, observability and telemetry, security and access, or customer-facing application services. We’ll align you to a team during the process based on your experience, interests, and business needs. 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.
Job Responsibility:
Own and lead the design and implementation of complex backend services and systems in a cloud-native, microservices-based environment
Make architecture and technical decisions that balance reliability, scalability, performance, and operability, and clearly communicate the tradeoffs
Drive projects end to end: from requirements and design through implementation, rollout, and ongoing operation in production
Improve service reliability and operations by defining SLOs/SLAs, strengthening observability, and participating in on-call as needed
Collaborate across teams to define APIs, integration points, and data models that keep the platform coherent and evolvable
Identify and drive platform and productivity improvements (tooling, automation, process) that raise the bar for the broader engineering organization
Mentor and support other engineers through code reviews, design reviews, and technical guidance, helping grow the team’s capabilities
Contribute to a culture of continuous improvement, inclusive collaboration, and high technical standards
Requirements:
5+ years of industry experience building, scaling, and operating backend systems in production
Deep proficiency in at least one major backend programming language (for example, 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) and an understanding of consistency, fault tolerance, and performance tradeoffs
Strong experience running services in a public cloud (AWS, GCP, or Azure), including containers and orchestration (for example, Docker, Kubernetes) and modern deployment practices
Comfortable working with databases and storage systems (SQL and/or NoSQL), including data modeling and performance optimization for scale
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
Experience with observability and operational excellence (metrics, logging, tracing, incident response, and postmortems)
BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience