Lead Software Engineer - Python/Automation

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 - Storage 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 responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDesign and deliver solutions that address complex business and technical challenges across the storage product domainBuilds secure, high-quality production software in Python, applying best practices in testing, code review, observability, and performance tuningDrives 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 teamApplies 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 automationIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies and partner with cross-functional stakeholders (engineering, product, operations, risk/security) to refine requirements, propose architectures, and deliver outcomes aligned to customer needs and business goalsDebug and troubleshoot complex issues in distributed systems with leading root-cause analysis and drive long-term fixesMentors junior engineers through coaching, pairing, reviews, and knowledge sharing—raising engineering standards across the team.Adds to team culture of diversity, opportunity, inclusion, and respectRequired 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 strength in system design, application development, testing strategies, and production operations/stabilityAdvanced in one or more programming language(s) and framework(s) (e.g., Python, Java, Fast API, Django, Rest API design, Containers, etc.)Experience with distributed systems and messaging, such as RabbitMQ (or equivalent)Experience with modern data stores such as Cockroach DB (or equivalent distributed SQL/NoSQL systems).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 securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations with experience coaching engineers on safe, compliant and adoption within delivery practicesProficient in all aspects of the Software Development Life Cycle from requitements and design through production support and continuous enhancementAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, including automation (testing, deployment practices, secure coding, least privilege, incident response, SLOs/SLIs)Practical cloud-native experience (e.g., containerization, infrastructure-as-code concepts, managed services), including exposure to AWSPreferred qualifications, capabilities, and skillsExperience with storage systems, infrastructure technologies, or platform engineering domainsExposure to modern and emerging technologies (e.g., event-driven architectures, service mesh, zero trust patterns, AI-assisted engineering)Experience modernizing legacy systems and improving reliability at scale