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Java AI Sr Lead Software Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Deposits Automation & Reliability 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.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities



* Develops and codes in Java with some Python as an individual contributor solving complex technical issues and driving resolution across applications, services and platforms


* Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale


* Operates as a senior hands-on individual contributor, writing code, solving complex technical issues, and driving resolution across applications, services, and platforms


* Leads the design, development and modernization of software solutions that improve reliability, scalability, automation and operational efficiency across complex technology platforms


* Builds, enhances and maintains automation frameworks, AI-driven engineering solutions, internal platforms and reusable tools for engineering teams


* Supports performance testing, resiliency testing, chaos testing, and controlled failure scenarios to validate system behavior under production-like conditions


* Leads and mentors engineers through code reviews, technical guidance, problem-solving support, and promotion of strong engineering practices


* Communicates technical strategy, reliability risks, resolution plans, and delivery progress clearly to engineering teams, product partners, and leadership


* Defines and promotes release readiness checks, quality gates, test coverage expectations, reliability standards, and validation approaches for cloud-native platforms

Required qualifications, capabilities, and skills



* Formal training or certification on software engineering concepts and 5+ years applied experience


* Advanced proficiency in programming languages such as Java and some Python


* Deep hands-on (8+ years) softwa...




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