Java Lead Software Engineer

Next Frontier Capital; Glasgow; On-site; GBP 90,000 - 130,000; Full time

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

Skills

Python

Data engineering

SQL

Airflow

Databricks

PySpark

CI/CD

Security practices

Agile

AI-assisted tools

Cloud platforms

Tools

Databricks

Airflow

PySpark

Job description

Join us to shape the future of payments technology and regulatory reporting. You will have the opportunity to work with cutting-edge cloud platforms and data engineering tools, making a real impact on our business and your career growth. We value your expertise and encourage you to bring your ideas to a team that thrives on innovation and collaboration. At JPMorganChase, you will be part of a culture that supports diversity, inclusion, and continuous learning. Take the next step in your journey with us and help deliver trusted technology solutions.

As a Java Lead Software Engineer at JPMorganChase within the Payments Technology Regulatory Reporting team, you will design and deliver secure, scalable cloud technology products. You will collaborate with agile teams to create solutions that support our business objectives and drive continuous improvement. Your work will span multiple technical areas, allowing you to contribute to both team and firm-wide goals. You will help foster a culture of inclusion, respect, and opportunity while advancing your skills in a dynamic environment.

Job 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

Required qualifications, capabilities, and skills

• 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

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies including managed data platforms, streaming services, container orchestration, object storage, managed databases, and serverless compute
• Experience with streaming and event-driven systems in payments or financial services contexts
• Familiarity with payment regulatory reporting requirements and associated data workflows

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal-opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Build secure, scalable Python services powering mission-critical regulatory reporting and shaping the future of payments technology.