Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III, Machine Learning and Cloud at JPMorgan Chase within the Consumer and Community Banking, Machine Learning Delivery Americas 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

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using Python or Java programming languages 
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Leverages Cloud services to build ML pipeline to implement, deploy and productionize ML Models
• Works with Business stakeholders and Product Owners to understand requirements.
• Works with SRE for any infrastructure/production changes.
• Ingests data from multiple sources
• Adds to team culture of diversity, equality, inclusion, and respect.

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 3 years applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Aptitude and willingness to learn new technologies.
• Experience in programming languages such as Python or Java.
• Understanding of and ability to learn the basic architecture of Cloud services and usage.
• Background with Machine Learning Frameworks and Big Data technologies such as Hadoop, Hive.
• Experience working with databases such as Oracle or Cassandra.
• Exposure to Agile and scrum methodologies.
• Familiarity with CI/CD, Application Resiliency, and Security.
• Emerging knowledge of software applications and technical processes within any technical discipline such as cloud, artificial intelligence, machine learning, Data analytics.

Preferred qualifications, capabilities, and skills

• Knowledge of any of the technologies like Big Data / Distributed computing like Spark, Kafka, Terraform, Kubernetes, AWS.
• Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)