Software Engineer III – Cloud Platform

Overview

You will contribute as a seasoned engineer on an agile team to design and deliver scalable, secure software within the Kafka Platform Team. The role focuses on real-time data streaming, enterprise-scale reliability, and continuous improvement across multiple business functions in support of the firm’s objectives. You’ll work closely with cross-functional partners to enable mission-critical applications and leverage AI-assisted coding tools to boost quality and speed. This is a chance to impact global-scale systems in a collaborative, learning-driven environment.

Responsibilities

• Design, implement, and troubleshoot software on the Kafka Platform for scalable, reliable outcomes
• Produce secure, high-quality production code and maintain synchronized algorithms across systems
• Create architecture/design artifacts for complex applications across the lifecycle
• Analyze large data sets to improve software and system performance
• Identify hidden data patterns to improve coding hygiene and system architecture
• Leverage enterprise AI coding assist tools to boost code quality, speed, and productivity with peer reviews and secure coding
• Utilize SDLC tools and automation to maximize value of development and automation

Key requirements

• Formal training or certification in software engineering concepts
• Hands-on experience in system design, app development, testing, and operational stability
• Experience coding/debugging/maintaining code in a large corporate environment with modern languages and DB querying
• Experience administering Kafka and AWS deployments
• Java development skills with Kafka (consumers/producers)
• Experience with AWS deployments
• Experience with Kubernetes deployments
• Solid understanding of CI/CD, application resiliency, and security, and general SDLC knowledge
• Hands-on experience with AI-assisted software development tools and ability to evaluate AI outputs for correctness, performance, security
• Understanding of responsible AI use in engineering workflows and secure data handling

• collaboration in cross-functional teams
• strong problem-solving and proactive data-driven thinking
• clear communication and peer review discipline
• Kafka (admin, streaming)
• Java programming (Kafka producers/consumers)
• AWS deployments

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