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Software Engineer III - Data Engineering and MLOps

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


* So...




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