Lead Software Engineer - Cloud Platform Engineer/Azure

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer - Cloud Platform Engineer/Azure at JPMorgan Chase within the Corporate Technology Infrastructure Platform team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies 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.
   

Required qualifications, capabilities, and skills

• Formal training or certification on system design concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Hands on experience in Python, Terraform and Public cloud (Azure).
• Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.
• Hands on experience with a public cloud provider (Azure, AWS)
• Understanding of public cloud architecture patterns for identity, networking, compute and management.
• Experience with Infrastructure as code using Terraform/Bicep/ARM on Azure.
• Proficient in one or more programming language(s) such as Java, Python, Java Scripting and Groovy.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Experience in applying enterprise architecture patterns on Azure Cloud Integrations with On Prem Systems.

• Knowledge in Identity and Access Management area
• Knowledge in Banking & Finance services industry 
• Knowledge in automation and continuous delivery methods.
• Knowledge in all aspects of the Software Development Life Cycle.
• Knowledge  in  Cloud security Principles and applying as needed