Lead Software Engineer - Cloud Platform Engineer/Azure
JPMC Candidate Experience page- Location
- Jersey City, NJ, United States
- Workplace
- —
- Employment
- Full Time
- Salary
- USD 156,750–215,000
Posted today
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.
Preferred qualifications, capabilities, and skills
- 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
Skills
- Azure
- Python
- Terraform
- AWS
- Bicep
- ARM
- Java
- Groovy
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