AWS Software Engineer III-Machine Learning

JPMorgan Chase-posted 3 months ago
Wilmington, DE
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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an AWS Software Engineer III-Machine Learning at JPMorgan Chase within the Corporate Technology-Consumer and Community Banking Risk team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

  • Implement software solutions, design, development, and technical troubleshooting with innovative approaches to solve complex problems
  • Develop secure and high-quality production code, maintaining algorithms that integrate seamlessly with existing systems
  • Create architecture and design artifacts for complex applications, ensuring design constraints are met by the developed software
  • Gather, analyze, and synthesize data to develop visualizations and reporting for continuous improvement of software applications and systems
  • Identify hidden problems and patterns in data, using insights to enhance coding practices and system architecture
  • Contribute to software engineering communities of practice and events exploring new and emerging technologies
  • Foster a team culture of diversity, opportunity, inclusion, and respect
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Practical experience in system design, application development, testing, and operational stability
  • Proficient in Python, capable of writing clean, efficient, and maintainable code for various applications, data analysis, and automation
  • Prior hands on experience with AWS cloud platform, including services like EC2, S3, Lambda, and RDS
  • Experience in developing, debugging, and maintaining code in a large corporate environment with modern database and querying
  • Comprehensive knowledge of the Software Development Life Cycle
  • Strong 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)
  • Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders
  • Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions
  • Familiarity with React for building user interfaces
  • Experience using object oriented programming with Java
  • Experience with DataBricks for data processing and analytics tasks
  • Experienced with machine learning operations (MLOps) for managing and deploying machine learning models
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