Lead Software Engineer - Cloud

Lead Software EngineerWe 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 JPMorgan Chase within the Corporate Sector – Infrastructure Platforms, 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 responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problemsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives 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.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 architectureLead the design and implementation of platform services and infrastructure with an emphasis on architecture, integration patterns, and system reliabilityDevelop, review, debug, and maintain secure, high-quality production code, applying engineering judgment to ensure it meets our standards regardless of whether it originates from you, a teammate, or an approved artificial intelligence toolIdentify opportunities to eliminate or automate remediation of recurring issues to improve operational stability across applications and systemsLead design reviews and architecture discussions to evaluate solutions, strengthen technical quality, and support scalable deliveryPartner with platform architecture, trust and authorization teams, and downstream IAM consumers to land coherent designs across organizational seams; Lead communities of practice across Software Engineering to increase awareness and adoption of new and leading-edge technologiesMentoring and coaching engineers through technical guidanceRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityDemonstrated 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 practicesExperience with Identity and Access Management platforms, role-based access control, or entitlement governance at scaleAdvanced proficiency in one or more programming languages, frameworks, or platforms such as Java, Spring, Go, Python, Terraform, or KubernetesPractical cloud-native experience building and operating services on at least one public cloud provider, such as Amazon Web Services, Microsoft Azure, or Google Cloud PlatformAdvanced understanding of agile methodologies such as continuous integration and continuous delivery, application resiliency, and securityAbility to evaluate technical solutions with a customer-focused mindset and understand how engineering decisions impact users and business outcomesStrong communication skills with the ability to adapt messages for technical and non-technical audiencesResponsible use of approved artificial intelligence tooling, with critical judgement to validate quality, correctness, security, and performance and experience with TerraformPreferred qualifications, capabilities, and skillsExperience working in financial services or another highly regulated technology environment with formal audit and control postureExperience contributing to public cloud platform services, developer platforms, or shared engineering capabilitiesFamiliarity with responsible artificial intelligence use in engineering workflows, including secure handling of inputs and outputsExperience improving developer experience, platform reliability, or operational efficiency at scale