Java Lead Engineer — Cloud Payments & Data Platform

JPMorganChase; Glasgow; On-site; GBP 85,000 - 125,000; Full time

Job summary

JPMorganChase in Glasgow is seeking a Java Lead Software Engineer for the Payments Technology Regulatory Reporting team. You will design and deliver secure, scalable cloud-based solutions, collaborating with agile teams to align with business objectives and drive continuous improvement.

The role spans data pipelines, batch processing, and real-time services, with emphasis on CI/CD, secure coding, and responsible AI practices, contributing to firm-wide technology strategy while growing your

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on experience in system design, Python application development, testing, and operational stability in production environments
• Strong proficiency in Python including data processing, APIs and services, and scripting and automation using common libraries and frameworks relevant to the role
• Experience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration tools
• Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts
• Knowledge across the data lifecycle including ingestion, validation, transformation, storage, governance and lineage considerations, and consumption patterns
• Ability to develop, debug, and maintain code in large enterprise environments with established controls and standards
• Solid understanding of the Software Development Life Cycle and agile methodologies
• Familiarity with continuous integration and delivery, application resiliency, security best practices, and observability and monitoring
• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations

Responsibilities

• Execute end-to-end software delivery including design, development, testing, deployment, and technical troubleshooting for Python-based services, batch jobs, and data pipelines
• Write secure, high-quality production Python code with attention to performance, reliability, readability, and testing discipline
• Produce design artifacts for complex workflows covering pipeline orchestration, processing logic, dependency and failure handling, and service-level objectives
• Gather, analyze, and synthesize data to produce reports, metrics, and visualizations that support business and operational insights
• Identify hidden problems and patterns in data and pipeline execution — including data quality issues, drift, anomalies, and bottlenecks — to drive system improvements
• Work individually or as part of a distributed agile team to deliver projects on time with strong ownership and accountability
• Contribute to engineering communities, improve internal libraries and utilities, and evaluate emerging technologies where appropriate
• Leverage enterprise-authorized AI-assisted software development tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Skills

Java

Cloud platforms

Data engineering

Python

CI/CD

Agile/Scrum

AI-assisted tools

Security best practices

Observability

Job description

JPMorganChase in Glasgow is seeking a Java Lead Software Engineer for the Payments Technology Regulatory Reporting team. You will design and deliver secure, scalable cloud-based solutions, collaborating with agile teams to align with business objectives and drive continuous improvement.

The role spans data pipelines, batch processing, and real-time services, with emphasis on CI/CD, secure coding, and responsible AI practices, contributing to firm-wide technology strategy while growing your