We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior DevOps/MLOps Engineer at JPMorgan Chase, AWM, Distribution tech management, you will deliver infrastructure, applications, and ML pipelines to support state-of-the-art investment processes as part of the Machine Learning Engineering team in JP Morgan Asset Management. ML Engineering team is located within AM Research Technology - where data scientists and ML engineers collaborate to develop advanced algorithms and applications to improve investment decision making.

Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure and high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural
Building and operating highly sophisticated machine learning infrastructure using infrastructure-as-code principles
Planning and deploying data storage and processing systems, especially for text, timeseries or financial data
Operating in a multi-cloud environment with a big focus on AWS

Required qualifications, capabilities, and skills :
Formal training or certification on software engineering concepts and 5+ years applied experience
Expert level experience working with Kubernetes and Terraform
Experience architecting, developing, and operating within AWS
Experience with logging and monitoring tools such as Prometheus, Grafana, Splunk and Datadog
Experience working in product development teams
History of successfully collaborating with internal stakeholders and clarifying requirements
Proven ability to iterate quickly
Practical cloud native experience

Preferred qualifications, capabilities, and skills
Proficiency in Python programming
Experience building and operating Machine Learning pipelines for text, timeseries or financial data
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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, ****** orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.