Cloud Platform Engineer (Kafka/AWS) – Real-World Impact

JPMorganChase; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

JPMorganChase is seeking engineers to design, develop, and deploy scalable software in a Kafka-driven platform. You will work on secure production code, create architecture artifacts, and analyze large datasets for system improvements.

You will leverage AI-assisted tools responsibly, validate outputs via reviews and tests, and contribute to end-to-end SDLC processes in a large enterprise environment.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Experience administering Kafka event streaming software.
• Java software development skills, particularly with Kafka consumers and producers.
• Experience with AWS deployments and Kubernetes deployments.
• Familiarity with CI/CD, security, and application resiliency.

Responsibilities

• Design, develop, and troubleshoot software solutions within a Kafka Platform Team, applying creative problem-solving to break down complex technical challenges and deliver scalable, reliable outcomes
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems, ensuring performance and stability at enterprise scale
• Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout the software code development lifecycle
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Understand responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Skills

Java

Kafka

AWS

Kubernetes

CI/CD

Golang

Education

Software engineering certification

Job description

JPMorganChase is seeking engineers to design, develop, and deploy scalable software in a Kafka-driven platform. You will work on secure production code, create architecture artifacts, and analyze large datasets for system improvements.

You will leverage AI-assisted tools responsibly, validate outputs via reviews and tests, and contribute to end-to-end SDLC processes in a large enterprise environment.