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    "ExternalDescriptionStr": "<p><span style=\"font-size: 11pt;\">Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</span></p><p><span style=\"font-size: 11pt;\">As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector, Infrastructure Platforms 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.</span></p><p><span style=\"font-size: 11pt;\"><strong>Job Responsibilities</strong></span></p><ul style=\"list-style-type: disc;\"><li><p style=\"background-color: white;\"><span style=\"color: black;\"><span style=\"font-size: 11pt;\">Provide technical guidance aligned to business goals, collaborating with engineers, contractors, and vendors.</span></span></p></li><li><p style=\"background-color: white;\"><span style=\"color: black;\"><span style=\"font-size: 11pt;\">Develop secure, high-quality production code; review, debug, and improve others’ code.</span></span></p></li><li><p style=\"background-color: white;\"><span style=\"color: black;\"><span style=\"font-size: 11pt;\">Influence product design, application functionality, and technical operations through informed decisions.</span></span></p></li><li><p style=\"background-color: white;\"><span style=\"color: black;\"><span style=\"font-size: 11pt;\">Champion firmwide SDLC frameworks, tools, and best practices.</span></span></p></li><li><p style=\"background-color: white;\"><span style=\"color: black;\"><span style=\"font-size: 11pt;\">Promote a culture of diversity, equity, inclusion, and respect.</span></span></p></li><li><p style=\"background-color: white;\"><span style=\"color: black;\"><span style=\"font-size: 11pt;\">Architect and deploy secure, scalable cloud platforms optimized for AI/ML workloads.</span></span></p></li><li><p style=\"background-color: white;\"><span style=\"color: black;\"><span style=\"font-size: 11pt;\">Partner with AI teams to translate compute needs into infrastructure requirements.</span></span></p></li><li><p style=\"background-color: white;\"><span style=\"color: black;\"><span style=\"font-size: 11pt;\">Monitor, manage, and optimize cloud resources for performance and cost efficiency.</span></span></p></li><li><p style=\"background-color: white;\"><span style=\"color: black;\"><span style=\"font-size: 11pt;\">Build CI/CD, automation, and infrastructure-as-code to streamline ML deployment and operations.</span></span></p></li><li><span style=\"font-size: 11pt;\">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.</span></li><li><span style=\"font-size: 11pt;\">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.</span></li></ul><p><span style=\"font-size: 11pt;\">&nbsp;</span></p><p><span style=\"font-size: 11pt;\"><strong>Required qualifications, capabilities, and skills</strong></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-size: 11pt;\">Formal training or certification on software engineering concepts and 5+ years applied experience</span></li><li><span style=\"font-size: 11pt;\">Hands-on experience in system design, application development, testing, and operational stability.</span></li><li><span style=\"font-size: 11pt;\">Strong experience with&nbsp;Kubernetes&nbsp;and containerization (Docker), including cluster operations and production troubleshooting.</span></li><li><span style=\"font-size: 11pt;\">Proficiency in at least one programming language, such as Python, Go, Java, or C#.</span></li><li><span style=\"font-size: 11pt;\">Ability to independently tackle design and functionality problems with minimal oversight.</span></li><li><span style=\"font-size: 11pt;\">Strong knowledge of cloud computing delivery models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid Cloud).</span></li><li><span style=\"font-size: 11pt;\">Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.</span></li><li><span style=\"font-size: 11pt;\">Experience with Infrastructure as Code.</span></li><li><span style=\"font-size: 11pt;\">Deep understanding of cloud component architecture: Microservices, IaaS, Storage, Security, and routing/switching technologies.</span></li><li><span style=\"font-size: 11pt;\">Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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</span></li><li><span style=\"font-size: 11pt;\">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 senior engineers/leads on compliant usage patterns and controls.</span></li></ul><p><span style=\"font-size: 11pt;\">&nbsp;</span></p><p><span style=\"font-size: 11pt;\">&nbsp;<strong>Preferred qualifications, capabilities, and skills</strong></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-size: 11pt;\">Foundational understanding of NVIDIA GPU infrastructure software (e.g., DCGM, BCM, Dynamo Inference).</span></li><li><span style=\"font-size: 11pt;\">Proficiency with observability tools like Prometheus and Grafana.</span></li><li><span style=\"font-size: 11pt;\">Experience in ML Ops and related tooling, including MLflow.</span></li><li><span style=\"font-size: 11pt;\">Background in high performance computing and ML frameworks (e.g., vLLM, Ray.io, Slurm).</span></li><li><span style=\"font-size: 11pt;\">Strong knowledge of network architecture, database programming (SQL/NoSQL), and data modeling.</span></li><li><span style=\"font-size: 11pt;\">Familiarity with cloud data services, big data processing tools, and Linux env</span></li></ul><p>&nbsp;</p><p><span style=\"font-size: 11pt;\"><strong>FEDERAL DEPOSIT INSURANCE ACT:</strong></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-size: 11pt;\">This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase’s review of criminal conviction history, including pretrial diversions or program entries.</span></li></ul>",
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