Senior Software Engineer II, Confluent Secure Compute

About the role

The next big goal for Confluent is to make it as easy as possible for anyone to use Confluent's products, including Kafka, to build their next killer streaming application. We are at the beginning of this journey and are looking for great engineers to come join our world-class team that is passionate about building and running large-scale, multi-tenant distributed systems for customers that expect a very high level of availability.

Responsibilities

• 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

This job can be performed from anywhere in the US.

Technical and Professional Expertise

• 5+ years industry experience designing, building, and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation.
• Strong knowledge of Python runtime environments (virtual environments, package management, and interpreter configurations).
• Strong programming and algorithmic skills.
• Proficiency in a major programming language, e.g. Python, Go, C / C++, Java, etc.
• Strong experience running services in a public cloud (AWS, GCP, or Azure), including containers and orchestration (for example, Docker, Kubernetes) and modern cloud native technologies.
• Expertise in other Language Runtimes / VMs (JVM/WASM, etc.) a big plus.
• Proven track record of leading the delivery of large-scale, highly available, low latency, high quality systems.
• Deep hands-on technical expertise in large scale systems engineering, distributed systems, and any of the container sandboxing technologies.
• On-call experience handling critical systems.