Software Engineer III - Data Engineering and MLOps
Company: JPMorganChase
Location: Boston
Posted on: April 2, 2026
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Job Description:
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 - Data Engineering and MLOps at JPMorgan
Chase within the Commercial and Investment Banking - Security
Services Data Lake 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 will design,
deploy, and operate agentic AI and ML solutions; build scalable
data pipelines; and automate CI/CD, orchestration, and
observability for training and inference. You’ll bridge data
science, software engineering, and production operations to deliver
secure, reliable, and maintainable AI/ML systems. 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 software solutions, design, development, and technical
troubleshooting with ability to think beyond routine or
conventional approaches to build solutions or break down technical
problems Design, build, and operate scalable batch/streaming
pipelines for the Securities Services Data Lake Deploy and manage
agentic AI/LLM and ML services; automate training, inference, and
feature pipelines Develop APIs/microservices to expose data and ML
capabilities to business applications Build and optimize
training/serving infrastructure for performance, reliability, and
cost Establish observability (monitoring, logging/tracing, data
quality, drift, alerting) and track SLOs Manage data/model
lifecycle (registries, artifacts, rollbacks, canary/blue?green
releases) Creates secure and high-quality production code and
maintains algorithms that run synchronously with appropriate
systems Gathers, analyzes, synthesizes, and develops visualizations
and reporting from large, diverse data sets in service of
continuous improvement of software applications and systems Add to
team culture of opportunity, inclusion, diversity and respect
Contributes to software engineering communities of practice and
events that explore new and emerging technologies 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
Proficient in coding in one or more languages;
Java/Python/Spark/SQL Expertise in Cloud Technologies like AWS
Strong knowledge and experience of AI and Machine Learning systems
and techniques. Experience in developing, debugging, and
maintaining code in a large corporate environment with one or more
modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle Solid
understanding of agile methodologies such as CI/CD, Application
Resiliency, and Security Demonstrated knowledge of software
applications and technical processes within a technical discipline
(e.g., cloud, artificial intelligence, machine learning, mobile,
etc.) Preferred qualifications, capabilities, and skills Experience
with Databricks Establish observability (monitoring,
logging/tracing, data quality, drift alerting) and track SLO's
Familiarity with modern front-end technologies
Keywords: JPMorganChase, Peabody , Software Engineer III - Data Engineering and MLOps, IT / Software / Systems , Boston, Massachusetts
