Lead Software Engineer: Cloud Infrastructure & Platform Engineering (Java, Python, Agentic AI)

Lead Software Engineer (Vice President)Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.As a Lead Software Engineer (Vice President) at JPMorganChase, within the Consumer and Community Banking you will be part of an agile team enhancing, building, and operating secure, stable, and scalable platform and software solutions for corporate functions including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office. This role is infrastructure-first (approximately 50% platform/infra engineering), complemented by hands-on Java engineering (approximately 30%) and AI/agentic development (approximately 20%).Job ResponsibilitiesLead the design, build, and day-to-day operation of cloud platform capabilities and production environments at scale, emphasizing resiliency, security, and reliabilityBuild and maintain secure Java (Java 17+) and Spring Boot services, including RESTful APIs, with strong code review and debuggingImplement Infrastructure-as-Code / Everything-as-Code using Terraform, including secure provisioning and policy controls where applicableEnable and support safe release practices (e.g., rolling and blue/green deployments) for high-availability, high-scale servicesImprove operational stability by eliminating recurring issues and automating remediation/runbooks where appropriateApply SRE-aligned practices (SLIs/SLOs, error budgets, incident response) and participate in formal change and incident management processesUse observability and APM tooling (e.g., Splunk, Datadog, Dynatrace) to monitor, troubleshoot, and improve production servicesDeliver CI/CD in a "you build it, you own it" culture using Git and enterprise pipelines (e.g., Jules, Spinnaker, or similar)Prototype and deliver AI-enabled/agentic workflows (e.g., tool-using agents, orchestration patterns, evaluation and guardrails) and translate stakeholder needs into technical designsMentor engineers and partner with application teams to drive best practices across reliability, performance, risk, cybersecurity, and legal/compliance requirementsRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years of applied experience.Hands-on Java/J2EE and Python development experience, with strong depth in Spring Boot and REST API designAWS platform/infrastructure engineering experience, including designing and operating cloud workloadsHands-on experience operating Kubernetes in high-availability environments, including deployments and incident troubleshootingStrong Infrastructure-as-Code experience with Terraform (modules, state management, secure provisioning practices)Production support experience using observability/APM tooling (e.g., Splunk, Datadog, Dynatrace), including root-cause analysis and reliability improvementsExperience with testing practices and frameworks (e.g., JUnit, Mockito) and performance testing tools (e.g., JMeter/BlazeMeter or equivalent)Solid grounding in domain-driven design, microservices patterns, resiliency patterns, and operating services under change/incident management controlsDemonstrated 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 practicesPreferred qualifications, capabilities, and skillsExperience with AWS services commonly used in modern platforms (e.g., ELB/ALB, Route 53, API Gateway, Lambda, ECS, managed caching such as Redis)Experience implementing policy-as-code and guardrails for cloud/Kubernetes environmentsExperience building platform "golden paths" (templates, paved roads, reusable modules) that accelerate application teams safelyExperience with secrets management tooling and patterns (e.g., rotation, least privilege, auditability) in regulated environmentsPractical experience building or integrating AI/agentic workflows with measurable evaluation, safety controls, and monitoring in production-like environmentsOperate Kubernetes platforms (preferably Amazon EKS), including cluster operations, upgrades, deployment strategies, networking/ingress, configuration and secrets management, and troubleshooting in high-availability environments