DescriptionBring your Software Engineering career to the next level within our AI/ML Data Platforms team where you will be responsible for designing and delivering trusted market-leading technology. You will provide your expertise and strong engineering background deploying and scaling ML and AI Models in Public Cloud services.
As a Software Engineer III at JPMorgan Chase within the Corporate Sector, AI/ML Data Platforms 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.
Job responsibilities
- Provides deep expertise across application, data, security, and infrastructure disciplines.
- Hands on experience in setting up public cloud infrastructure using Terraform.
- Understands and has the experience to improve and debug backend performance bottlenecks.
- Hands on experience with application production readiness, production monitoring, and production issue triaging
- Aquires Knowledge of industry standard software best practices, development lifecycle processes, Agile tools, methodologies, and security best practices.
- Demonstrates strong engineering background in deploying and scaling ML and AI Models on Public cloud services.
- Adapts to new technologies and learn quickly in a fast-paced environment.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Proficiency in programming languages such as Python, Java
- Hands-on experience working on AWS Cloud Based applications development using EC2, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, and Kinesis. Strong understanding of AWS networking, security, IAM roles, monitoring and application debugging is critical.
- Experience working containerized services on Kubernetes or ECS
- Experience with Python, Java, and REST APIs.
Preferred qualifications, capabilities, and skills
- Knowledge or experience with working on Azure
- Experience with Single Sign On/OIDC integration and deep understanding of OAUTH, and JWT/JWE/JWS. IDAnywhere knowledge
- Knowledge of AWS Sagemaker and data analytics tools
