Senior
Lead Software Engineer - Back End/Full Stack/IAM
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 at JPMorganChase within the Corporate Sector - Chief Technology Office - Identity and Access Management / PA Product & Engineering 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
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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
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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
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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
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Develops secure high-quality production code, and reviews and debugs code written by others
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Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
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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
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Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
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Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
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Formal training or certification on software engineering concepts and 5+ years applied experience
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Hands-on practical experience delivering system design, application development, testing, and operational stability
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Advanced in one or more programming language(s) and framework(s) i.e., Python, Java, Spring Boot, Spring security, Angular, React
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Hands-on experience with AWS and/or Infrastructure as Code tools such as Terraform
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Proficiency in designing and developing RESTful web services and APIs using different frameworks
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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.
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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
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Proficient in all aspects of the Software Development Life Cycle and have a strong understanding of Agile delivery practices, including CI/CD automation (Jenkins, Bitbucket), application resiliency, security fundamentals, and cloud-based development/deployment paradigms
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Ability to design and implement automated tests using a range of testing frameworks (unit, integration, and end-to-end)
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In-depth knowledge of the financial services industry and their IT systems
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Practical cloud native experience
Preferred qualifications, capabilities, and skills
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Knowledge of, and prior experience with, Identity and Access Management (IAM) solutions
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Java/GO, AWS, Terraform, Ansible experience
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Familiarity with Kerberos and OAuth 2.0 authentication/authorization protocols
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