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JPMorgan Senior Lead Architect- Digital Document Management United States, New Jersey, Jersey City 983067129
07.12.2024
Job responsibilities
- Engages with technical teams and business stakeholders to propose technical approaches for current and future needs.
- Defines the technical target state of products and drive the achievement of strategic goals.
- Provides feedback and propose improvements to architecture governance practices.
- Guides the evaluation of current technology and lead the assessment of new technologies using existing standards and frameworks.
- Executes creative software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches.
- Drives decisions influencing product design, application functionality, and technical operations.
- Develops secure, high-quality production code and review and debug code written by others.
- Identifies opportunities to eliminate or automate recurring issues to improve operational stability.
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
- Leads evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proficiency in solutions architecture and platform architecture.
- Hands-on experience in system design, application development, testing, and operational stability.
- Experience as an AI Practitioner with AI App / GenAI App Builder.
- Advanced proficiency in one or more programming languages and proficient in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile).
- In-depth knowledge of the financial services industry and IT systems.
- Practical cloud-native experience.
- Advanced knowledge of software, applications, and architecture disciplines.
- Ability to evaluate current and emerging technologies to recommend future state architecture solutions.
Preferred qualifications, capabilities, and skills
- Experience with model building and ML engineering, including fine-tuning of Large Language Models (LLMs).
- Knowledge of Azure.
- Experience with multiple data technology stacks, including Databricks and NoSQL datastores like AWS DynamoDB and MongoDB.
- Engineering experience with ETL/ELT software patterns and packages.
- Architecture and engineering experience with cloud-based relational databases such as AWS Aurora, RDS, and Postgres.
- Experience with streaming platforms like AWS Kinesis and Kafka.
- AWS certifications for architecture and engineering.
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