Lead Software Engineer: Python, Data & AI/ML on Cloud

JPMorgan Chase & Co.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in London seeks an experienced Lead Software Engineer to drive cloud-native data, backend engineering and AIML initiatives.

You will shape secure, scalable software across multiple tech areas, contributing to production-scale AI/ML workflows while mentoring an agile team. Ideal candidates have strong system design, microservices and data engineering skills, plus hands-on coding with Python and cloud technologies in a financial setting.

Qualifications

• Formal training or certification in software engineering concepts.
• Hands-on experience in system design, development, testing and operations.
• Proficient in Python and modern programming languages.
• Experience with cloud services, IaC, containers, big data and data engineering.
• Proven track record in microservices and data-intensive applications.

Responsibilities

• Executes software solutions with production-grade, secure code.
• Creates architecture and design artifacts for complex apps and ensures constraints.
• Builds data and AIML pipelines including Cloud infra DevOps and MLOps.
• Designs data engineering solutions using modern big data tech.
• Collaborates with data scientists and stakeholders to convey design choices.

Skills

Python

Cloud architecture

Microservices

Data engineering

DevOps / MLOps

Big data

SQL

System design

Education

Formal training or certification in software engineering concepts

Tools

AWS

Kubernetes

Docker

OpenSearch

Knowledge graphs

Job description

JPMorgan Chase & Co. in London seeks an experienced Lead Software Engineer to drive cloud-native data, backend engineering and AIML initiatives.

You will shape secure, scalable software across multiple tech areas, contributing to production-scale AI/ML workflows while mentoring an agile team. Ideal candidates have strong system design, microservices and data engineering skills, plus hands-on coding with Python and cloud technologies in a financial setting.