Software Engineer III – Cloud Platform Engineering - Python / AWS
On-site · New York City, New York, United States
New York City, New York, United StatesOn-siteFull TimeMid LevelNot SpecifiedInvestment BankingEnterprise
Type
Full Time
Level
Mid Level
Education
Not Specified
Company size
Enterprise
Industry
Investment Banking
Job Summary
Software Engineer III at JPMorgan Chase in the Payments, Proprietary Wallets, and Lending Innovation organization; responsible for designing, developing, and delivering scalable platform solutions, secure production code and automation, architecture and design documentation, data analysis and visualization, proactive problem identification and system improvement, community engagement, and fostering an inclusive team culture.
Required Qualifications
- Formal training or certification in software engineering concepts, with a minimum of 7 years of hands-on experience in system design, application development, testing, and operational stability within large-scale corporate environments.
- Advanced proficiency in Python and/or Java, with demonstrated expertise in developing, debugging, and maintaining code using modern programming and database querying languages.
- Extensive experience with SQL and NoSQL databases, data lakes, and AWS S3, including the design and implementation of scalable data storage architectures.
- Proven track record in deploying and managing applications using AWS services such as EMR, EKS/ECS, EC2, Event Bus, and S3.
- Deep familiarity with enterprise logging and monitoring platforms, including Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog.
- Strong experience with Continuous Integration and Continuous Deployment processes, utilizing tools such as Jenkins and Spinnaker to automate and streamline software delivery pipelines.
- Comprehensive understanding of the full software development lifecycle, agile methodologies, application resiliency, and security best practices.
- Demonstrated expertise in software applications and technical processes within cloud computing, artificial intelligence, machine learning, and mobile technologies.
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