Senior Python & AWS GenAI Platform Lead

Testing Site - JPMC; Jersey City (NJ); On-site; USD 140,000 - 195,000; Full time

Job summary

JPMorgan Chase’s MLCOE in the United States is seeking a Lead Software Engineer to design and deliver scalable production-grade software within a secure ML stack. You will engineer data pipelines, feed cleaned data into ML model pipelines, and store results in data lakes and warehouses.

You will deploy complete systems to production, resolve incidents within strict SLAs, and add features to maintain performance and reliability across large-scale data processing environments.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code.
• Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance.
• Working with data lakes (Amazon S3) and data warehouses (AWS Redshift).
• Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications.
• Developing dynamic, interactive dashboards with Tableau or Qlik Sense, including advanced visualization, ETL automation, and ODBC connectors.
• Data manipulation, structuring, design flow, and query optimization using SQL and Python.
• Processing large datasets with data containers, multithreading, and multiprocessing in PySpark and TensorFlow.
• Developing software or microservices deployed as REST APIs.
• Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue.
• Developing and automating high-performance, large-scale data processing systems.

Responsibilities

• Designs, develops and maintains production grade software
• Engineers data pipelines to ingest and transform large volumes of data.
• Feeds processed data into machine learning model pipelines.
• Stores resulting data in data warehouses and data lakes.
• Design sand implements end-to-end machine learning model pipelines, from data input to serving outputs to a large user base.
• Deploys complete systems into production environments.
• Resolves production issues within a 5-hour SLA.
• Adds new features and maintains product code to ensure ongoing system performance and reliability.

Skills

Software engineering

5+ years experience

AWS

Data pipelines

SQL and Python

TensorFlow PyTorch

REST APIs

CI/CD

Terraform

AWS CloudWatch

Tools

Terraform

AWS

Amazon S3

AWS Redshift

AWS Glue

Tableau or Qlik Sense

Job description

JPMorgan Chase’s MLCOE in the United States is seeking a Lead Software Engineer to design and deliver scalable production-grade software within a secure ML stack. You will engineer data pipelines, feed cleaned data into ML model pipelines, and store results in data lakes and warehouses.

You will deploy complete systems to production, resolve incidents within strict SLAs, and add features to maintain performance and reliability across large-scale data processing environments.