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Lead Software Engineer SRE

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Description Overview 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 JPMorgan Chase within the Cloud Reliability Services, 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. Responsibilities Partner and collaborate with product, architecture, security and operations teams to prioritize reliability and embed best practices across the software development lifecycle to improve operations across the Loan Origination environment. Lead and develop resilient software solutions that improve reliability, scalability and system performance of the Loan Origination System (LOS). Lead evaluation sessions with external vendors, startups, and internal teams to outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Develop secure high-quality production code, review and debug code written by others. Lead communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies. Add to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications Formal training or certification on software development concepts and 5+ years applied experience, SRE/DevOps, platform engineer, or similar. Proficiency in operating and managing cloud‑based services using IaC (infrastructure as code, Terraform or similar) in AWS. Hands‑on practical experience delivering system design, application development, testing, and operational stability. Advanced in programming in Java technologies. Proficiency in automation and continuous delivery methods. Experience across the whole Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile). Fluent in English. Preferred Qualifications AWS Practitioner and Google Cloud certifications are highly desirable. Knowledge of federated trust models for identity and security with hybrid + public cloud infrastructure (AWS, Azure, GCP). Knowledge of the financial services industry and their IT systems. #J-18808-Ljbffr