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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Platform Engineer (AWS) - **Company:** JPMorgan Chase & Co. - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Software Quality, Code Review, Data Infrastructure, Data Security, Database Queries, Software Debugging, Infrastructure as a Service (IaaS), Python (Programming Language), Software Tools, Secure Coding, Software Engineering, Software Systems, Systems Architecture, Strategies of Testing, Toolchain, Scripting, Data Management, Terraform, Code Restructuring, Programming Languages - **Published:** September 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c0515ceabe4293a1 ## About the Role * Formal training or certification on software engineering concepts and 5+ years applied experience * Hands-on experience in AWS, especially in Data Management arena such as Glue, EMR, Athena, Redshift, and Lake Formation. * Proficient in Python, Java, and database query languages for applications development, debugging, and maintenance in a large corporate environment * 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 * Overall solid knowledge of the Software Development Life Cycle Preferred qualifications, capabilities, and skills * Hands-on Terraform or other IaaS experience * AWS certification on Solutions Architect Associate / Developer level * Other advanced level certification on programming languages. * Knowledge working with PCI and sensitive data workloads ## Description 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 Corporate Sector's AI/ML & Data 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. 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 * Designs and implements secure Data Lake solutions within the AWS environment. * IaaS (Infrastructure As A Code) development including Terraform configuration script, Python scripts or Java programming to create services and resources in AWS Cloud environment. * Explores and evaluates new Data Management features offered by AWS. * 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, MCP server creation, 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. * Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture * Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems * Collaboration with different teams to execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. * Contributes to software engineering communities of practice and events that explore new and emerging technologies ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [JavaScript? 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