Lead Software Engineer - Cloud Platform Engineer/Azure

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer - Cloud Platform Engineer/Azure to join the Corporate Technology Infrastructure Platform team. You will be a core technical contributor delivering trusted market-leading technology in a secure, scalable way.

The role emphasizes hands-on development with Python/Terraform on Azure, agile practices, collaboration with vendors, and driving adoption of AI-assisted engineering while ensuring secure coding and architecture alignment.

Qualifications

• Formal training or certification on system design concepts and 5+ years applied experience.
• Hands-on 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, 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 with the ability to set team expectations for validating AI outputs.

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, while establishing consistent validation standards and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the SDLC toolchain, including AI-assisted development and automation capabilities, to improve the value realized by automation.

Skills

Python

Terraform

Public cloud (Azure)

CI/CD

Agile methodologies

Security

AI-assisted development tools

Java

Groovy

Education

System design concepts training/certification

Tools

Terraform

Bicep/ARM

Azure

Job description

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, youare 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