Lead Software Engineer - ML Ops - Java/Python

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 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. 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

• Partners and collaborates with product, architecture, security and operations teams 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). 
• Leads 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.
• Develops secure high-quality production code, and reviews and debugs code written by others
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• 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 and Python 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 (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Fluent in English

• 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 RAG architectures
• Knowledge of the financial services industry and their IT systems