Lead Software Engineer - Payments Tech & Cloud

Next Frontier Capital

Glasgow

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Java Lead Software Engineer within the Payments Technology Regulatory Reporting team to design and deliver secure, scalable cloud technology products. You will collaborate with agile teams to support business objectives and drive continuous improvement.

You will work on end-to-end software delivery for Python-based services, data pipelines, and reporting workflows, ensuring security, reliability, and performance while aligning with enterprise standards in a large

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