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 Consumer and Community Banking, 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
Design, build, and enhance microservices framework components and platform services used across the Consumer Bank.
Engineer and operate API gateway and API management capabilities (e.g., Kong) to support external APIs.
Implement scalable, secure patterns for APIs, microservices, and event-driven applications across cloud and edge platforms (e.g., AWS, Akamai).
Partner with application teams and platform stakeholders to define standards, reusable patterns, and reference implementations.
Contribute to architecture, analysis, design, development, code reviews, and technical documentation.
Drive engineering excellence through automation, testing, reliability practices, and continuous improvement in CI/CD pipelines.
Participate in Agile delivery and support production readiness through operational ownership and incident follow-up.
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 software engineering concepts and 5+ years applied experience
Advanced knowledge of cloud platforms and infrastructure architecture.
Strong understanding of containerization and orchestration (Docker, Kubernetes).
Proficiency in one or more programming languages: Java, Python, and/or Golang (7+ years).
Hands-on experience with Infrastructure as Code, including Terraform for AWS provisioning (3+ years).
Experience building and operating API capabilities, including APIs, API gateways, and API management (3+ years).
Experience deploying and operating workloads on AWS, using EKS (3+ years).
Strong engineering fundamentals: architecture, analysis, design, coding, and code review. Proficiency with modern developer toolchains and engineering best practices.
Demonstrated ability to collaborate in large, cross-functional teams and contribute to an inclusive, innovative engineering culture. Experience with Agile, Lean, and Continuous Delivery practices.
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
Preferred qualifications, capabilities, and skills
Deep expertise with AWS services supporting platform engineering, networking, security, and observability.
Experience with event-driven architectures and managed messaging/streaming patterns.
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