FULL_TIME

FEED

OTHER

Establish production-grade operations and controls (SRE practices, monitoring/on-call, incident response/RCA, auditability, least-privilege, disciplined change management) and deliver governed agentic capabilities (safe tool/function calling, autonomy tiers, access-controlled RAG, evaluation/monitoring, audit trails, rollback/fallback) while leading through influence, design reviews, and mentoring. As a Data Engineering & Applied AI Lead Software Engineer at JPMorganChase within the Asset & Wealth Management, 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.

JPMorgan Chase Bank, N.A.

Lead Software Engineer - Data Engineering & Applied AI

equestftpin

Skills Required: This position requires experience with the following: designing, developing, and deploying enterprise applications using Spring Boot, Java, Python, and R for financial services, private investment banking, and stock plan administration; full-stack Agile software engineering, including requirements gathering, system design, coding, testing, debugging, and documentation; site reliability engineering principles, including defining and monitoring service level indicators, service level objectives, error budgets, as well as incident response, root cause analysis, and site resiliency planning for critical point of failure business applications; architecting, provisioning, and managing multi-cloud infrastructure using AWS and Microsoft including ECS, EKS, Azure Kubernetes Service, Azure Functions, Azure Virtual Machines, Virtual Private Cloud Endpoints, Direct Connect, Relational Database Service, and Elastic Compute Cloud for automation, cost optimization, and operational effectiveness; migrating legacy and on-premises systems to cloud platforms; implementing and managing containerized applications with Docker and Kubernetes; automating infrastructure with Terraform; designing and maintaining CI/CD pipelines using Jenkins, Spinnaker, Buildi, Jules, and Harness; automating build, test, and deployment processes and establishing secure connectivity between on-premises and cloud environments; security solutions including just-in-time, password-less authentication, SSL and x509 certificate management, vulnerability assessment, and regulatory compliance; database operations and migrations using AWS RDS for Oracle, Aurora PostgreSQL, Microsoft SQL Server, and Sybase; observability and monitoring using Grafana, Dynatrace, Prometheus, Datadog, and Splunk; performance optimization. QUALIFICATIONS: Minimum education and experience required: Bachelor's degree in Information Technology, Computer Science, or related field of study plus 7 years of experience in the job offered or as Lead Software Engineer, Software Engineer, Software Developer, IT Consultant, or related occupation.

Lead Software Engineer [Multiple Positions Available]

UNKNOWN

Experience level: Mid-senior Experience required: 8 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate: View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No. Define and own the GENAI solution architecture including model selection, fine-tuning strategy, retrieval-augmented generation (RAG), vector stores, and prompt engineering pipelines.

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