Senior
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
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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.
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Lead and develop resilient software solutions that improve reliability, scalability and system performance of the Loan Origination System (LOS).
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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.
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Develops secure high-quality production code, and reviews and debugs code written by others
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Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
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Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
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Formal training or certification on software development concepts and 5+ years applied experience, SRE/DevOps, platform engineer, or similar
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Proficiency in operating and managing cloud-based services using IaC (infrastructure as code, Terraform or similar) in AWS
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Hands-on practical experience delivering system design, application development, testing, and operational stability
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Advanced in programming in Java and Python technologies
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Proficiency in automation and continuous delivery methods
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Experience across the whole Software Development Life Cycle
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Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
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Fluent in English
Preferred qualifications, capabilities, and skills
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AWS Practitioner and Google Cloud certifications are highly desirable
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Knowledge of federated trust models for identity and security with hybrid + public cloud infrastructure (AWS, Azure, GCP)
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Knowledge of RAG architectures
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Knowledge of the financial services industry and their IT systems
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