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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
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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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