Lead Software Engineer - Java / Python / Data

Fairygodboss; Glasgow; On-site; GBP 90,000 - 120,000; Full time

Job summary

J.P. Morgan is seeking a senior software engineer to design and implement innovative software solutions across frontend, backend, and data pipelines. You will collaborate with cross-functional teams to drive architecture decisions, ensure secure development practices, and promote AI-enabled tooling to accelerate delivery.

The role emphasizes strong fundamentals in system design, cloud platforms (AWS), and experience with large-scale data architectures within the financial services sector.

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience
• Strong software engineering fundamentals - system design, data structures, algorithms, and architectural thinking
• Hands-on practical experience in full-stack or cross-functional development across frontend, backend, data pipelines, or mobile
• Proficiency in Java/Spring Boot, Python/PySpark, GraphQL, or mobile development frameworks
• Experience with AWS and relational/distributed data platforms, e.g., Oracle, Databricks
• Advanced understanding of agile methodologies, CI/CD, and secure software development practices
• Proficient in SDLC design, development, testing and production operations
• Understanding of AI/ML concepts and integrating AI into business apps
• Experience with enterprise AI-assisted development tools and evaluating AI outputs
• Understanding of responsible AI use and security considerations
• Knowledge of the financial services industry IT systems

Responsibilities

• Execute creative software solutions, design, development, and troubleshooting for complex problems
• Develop secure production code and review/debug code written by others
• Identify opportunities to automate remediation and improve operational stability
• Lead evaluation sessions with vendors, startups, and internal teams on architecture and applicability
• Lead communities of practice to promote new and leading-edge technologies
• Foster team culture of diversity, inclusion, and respect
• Promote AI-assisted engineering practices to improve code quality and delivery speed while ensuring security and testing standards
• Apply SDLC tools, including enterprise AI-assisted development, to improve automation value

Skills

Java/Spring Boot

Python/PySpark

GraphQL

Mobile development

Cloud platforms AWS

Relational databases Oracle

Distributed data platforms Databricks

Agile methodologies

CI/CD

Secure software development

AI/ML concepts

AI-assisted tools

Data pipelines

Shell scripting

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develop secure high-quality production code, and review and debug code written by others
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Add to team culture of diversity, opportunity, inclusion, and respect
• Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• 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
  Strong software engineering fundamentals - system design, data structures, algorithms, and architectural thinking - with the ability to ramp up quickly across varied tech stacks and project types
• Hands‑on practical experience in full‑stack or cross‑functional development, spanning frontend, backend, data pipelines, or mobile, with demonstrated ability to contribute across the length and breadth of a project
• Proficiency in one or more of the following: Java/Spring Boot, Python/PySpark, GraphQL, or mobile development frameworks, with openness and aptitude to work across others as needed
• Experience with cloud platforms (preferably AWS) and working knowledge of both relational and distributed data platforms (e.g., Oracle, Databricks)
• Advanced understanding of agile methodologies, CI/CD pipelines, application resiliency, and secure software development practices
• Proficient in all aspects of the Software Development Life Cycle, including design, development, testing, and operational stability in production environments
• Practical understanding of AI/ML concepts and experience integrating or embedding AI/ML capabilities into business applications or data workflows, with the ability to identify opportunities where intelligent automation or predictive solutions can add business value
• Hands‑on experience using enterprise-authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• In‑depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Experience with high‑volume batch and real‑time data processing using PySpark or similar frameworks, including performance tuning and troubleshooting of large‑scale data pipelines
• In‑depth knowledge of relational and distributed databases (e.g., Oracle, Databricks) with hands‑on experience in query optimization, PL/SQL, and shell scripting in a cloud‑native AWS environment
• Demonstrated ability to lead or contribute to architectural design discussions, technical evaluations, and proof‑of‑concept initiatives across diverse technology domains
• Experience working in or alongside financial services technology teams, with an understanding of regulatory, compliance, and security considerations in enterprise‑grade systems

ABOUT US

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.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.