Senior Lead Software Engineer (Java/Python | Data & AI)

JP Morgan Chase; Greater London; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorgan Chase seeks engineers to design, build, and operate large-scale data platforms with AI/ML capabilities. You will work on secure, production-grade data-intensive applications and contribute to architectural decisions across teams.

The role requires hands-on coding in modern languages, experience with data lake architectures, and cloud-native approaches. You will collaborate across agile teams to deliver resilient, scalable solutions in a dynamic financial services environment.

Qualifications

• Proficiency in engineering and architecture with hands-on data platform design and operation.
• Advanced programming skills in Java, Python, C/C++, or C#.
• Experience delivering system design, development, testing, and operational stability.
• Knowledge of relational and NoSQL databases and data lake architectures.
• Experience with modern data technologies and cloud-native environments.

Responsibilities

• Design, develop, and troubleshoot secure, production-grade data-intensive applications.
• Write high-quality production code and review peers’ work.
• Automate remediation and improve operational stability.
• Lead evaluation sessions with vendors and internal teams on architecture.
• Promote new technologies and best practices across teams.
• Foster an inclusive, collaborative team culture.
• Collaborate with agile teams and contribute to technical strategy.
• Shape team culture and the impact of technology solutions.

Skills

Engineering & Architecture

AI/ML

Agile methodologies

Team collaboration

Tools

Java

Python

C/C++

C#

Databricks

Snowflake

Airflow

Kafka

Redis

Dynatrace

Grafana

Spark

PySpark

Job description

JPMorgan Chase seeks engineers to design, build, and operate large-scale data platforms with AI/ML capabilities. You will work on secure, production-grade data-intensive applications and contribute to architectural decisions across teams.

The role requires hands-on coding in modern languages, experience with data lake architectures, and cloud-native approaches. You will collaborate across agile teams to deliver resilient, scalable solutions in a dynamic financial services environment.