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You will be updated with latest job alerts via emailWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase at JPMorgan Chase within the Global Bank Engineering and Architecture team you enhance and deliver secure scalable technology products. You drive business impact through technical expertise and problem-solving across diverse technologies and applications.
We are looking for a dynamic Cloud Software Engineer to guide technical teams with expert direction. Responsibilities include developing secure code reviewing others work and influencing product design and operations. The engineer will advocate for firmwide practices promote diversity and inclusion design test cases ensure application quality and collaborate on solutions to prevent issues while tracking metrics and generating reports.
Job responsibilities:
qualifications capabilities and skills
Formal training or certification on Java concepts and proficient advanced experience.
Proficiency in Java (or Python) and SQL with the ability to write efficient and scalable code for applications data processing and analysis.
Exposure to Data Lake or Big Data technologies with familiarity in working with large-scale data storage solutions.
Strong knowledge of AWS including the ability to design implement and manage cloud-based solutions using services such as S3 EC2 Lambda and Glue.
Proficiency in Terraform for infrastructure as code to automate the provisioning and management of cloud resources.
Experience in producing technical documentation and/or user guides with the ability to create clear concise and comprehensive materials for various stakeholders.
Hands-on practical experience in system design application development testing and operational stability.
Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
Overall knowledge of the Software Development Life Cycle.
Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security.
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.).
Full-Time