Java/AWS/Agentic Senior Lead Software Engineer

Senior Lead Software EngineerBe 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 Payments Trust and Safety Technology group, 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. You will be part of the Fraud Protection group, building solutions for merchants to protect themselves against fraudulent behavior. 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 responsibilitiesExecutes creative software solutions, design, development, and deploy cloud-native applications using AWS services (EC2, S3, Lambda, RDS, Aurora, ECS, EKS, etc.)Automate infrastructure provisioning and application deployment using AWS tools (CloudFormation, Terraform, AWS CDK)Develops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemMonitor, troubleshoot, and optimize application performance and reliability in the AWS environmentEnsure security and compliance by implementing IAM policies, encryption, and monitoringDocument technical solutions and provide support for audits and regulatory reviewsLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge cloud technologiesDrives 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 toolchainApplies 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 scaleDeliver high-quality results within tight deadlines while maintaining a strong focus on code optimization, performance tuning, and engineering best practicesRequired qualifications, capabilities, and skillsFormal training or certification on Software Engineering concepts and 5+ years applied experienceDemonstrated 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 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; experience coaching senior engineers/leads on compliant usage patterns and controlsExtensive hands-on experience with AWS cloud services and infrastructureExperience with S3, Aurora Postgres, ECS, EKS, RDS, Lambda, Glue, ALB/NLB and serverless architecturesProficiency in programming languages (Java, Spring boot, Python, Node.js, etc.)Proficiency in automation, continuous delivery methods and all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security and working with Kafka for event StreamingIn-depth knowledge of the financial services industry and their IT systemsExperienced with pair programming agents such as GitHub Copilot to accelerate prototypingProven experience in building high-volume, low-latency, high-throughput transactional systemsPreferred qualifications, capabilities, and skillsFull stack development knowledge with strong enterprise architecture design concepts to allow for unified user experience leveraging data sharing capabilities with API, KafkaCase management workflow and orchestration to serve as the backbone of a unified user experience across multiple cross-functional teamsVibe coding experience and conceptual knowledge while leveraging developer assistant tools like GitHub Copilot to allow for efficiency gains