Software Engineer DATA ANALYTICS PLATFORM

J.P. Morgan is currently seeking a full stack Software Engineer with AWS and Python experience that has an interest in Machine Learning development to assist in the engineering and deployment of innovative Machine Learning solutions into production.  You will have the opportunity to engage with multiple new and ongoing projects in collaboration with the Applied AI/ML group and development teams from across the Technology organization.

 

Working with Data Scientists on a wide variety of projects to build cloud based frameworks to host machine learning models and provide software engineering expertise throughout the model development lifecycle.  Using internal and external cloud platforms that leverage proprietary and open source software/tools to ensure that models are developed in accordance with SDLC guidelines, are of production quality and can be deployed quickly.  You will need to interact with platform developers, engineering and developer communities and leverage infrastructure that already exists in the firm as well as develop or integrate new technologies. 

 

Qualifications

 Minimum Qualifications:

●    3-5 years of  extensive programming skills in Python

●      Strong debugging and performance optimization skills

●      Practical experience with cloud platforms, e.g., Kubernetes, AWS

 

Preferred Experiences:

●      Comfort with rapid prototyping and disciplined software development processes

●      Experience with REST web services and messaging technologies like MQ or Kafka

●      Experience with Terraform and Infrastructure as Code

●      Degree in Computer Science, Statistics, Engineering or a related field

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
   We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.