Cloud Foundations Engineer III - Azure & Multi-Cloud

Fairygodboss

Glasgow

On-site

GBP 65,000 - 110,000

Full time

10 days ago

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Job summary

JPMorganChase is seeking a Software Engineer III to help build and scale the cloud provisioning platform within Infrastructure Platforms Cloud Foundation Services. You will start focused on Azure, contributing to secure, high-quality code and helping migrate users to the new provisioning capability.

You will work with agile teams, apply enterprise AI-assisted development tools, and expand breadth across AWS and Google Cloud over time.

Qualifications

Formal training or certification in software engineering concepts.
Hands-on experience with enterprise AI-assisted development tools and ability to evaluate AI outputs.
Understanding of responsible AI in engineering workflows, data sensitivity, secure handling, resiliency and security expectations.
Practical experience with Microsoft Azure; hands-on with other public clouds (AWS, Google Cloud).
Hands-on experience with Terraform for infrastructure as code.
Proficiency in one or more programming languages (Java, Python, Go).
Experience with Agile, Scrum, or DevOps practices.
Understanding of cloud-native architectures and microservices design principles.
Proficiency across all aspects of the Software Development Life Cycle.

Responsibilities

Develop secure, high-quality production code for our cloud provisioning platform, with an initial focus on Azure, and review and debug code written by others.
Contribute to product design, application functionality, and the technical operations and processes that keep the platform reliable and scalable.
Support the migration of consumers onto the new provisioning capability, including building and maintaining the automation that makes that migration repeatable.
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.
Contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices across the Software Development Life Cycle.
Influence peers and project decision-makers to consider the use and application of leading-edge cloud technologies.
Foster a team culture of diversity, inclusion, opportunity, and respect.