Python / Java Lead Software Engineer

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

Job summary

J.P. Morgan Chase in London seeks a senior software engineer to lead AI-assisted development and secure production code delivery. You will define AI guardrails across the SDLC, implement automated quality gates, and drive scalable DevSecOps practices within a cross-functional team.

The role requires advanced Python and Spark/PySpark experience, cloud native skills, and proven delivery leadership on large initiatives in a regulated financial services environment.

Qualifications

• Formal training or certification on software engineering concepts and advanced experience in Python.
• Experience delivering design, development, testing, and operational stability.
• Ability to lead AI-assisted engineering adoption and establish validation standards.
• Strong SDLC knowledge with emphasis on CI/CD, resiliency and security.
• Experience coaching engineers on safe AI adoption in regulated environments.

Responsibilities

• Execute creative software solutions, development, and troubleshooting to solve technical problems.
• Develop secure, high-quality production code and review code written by others.
• Drive team adoption of enterprise AI-assisted engineering practices to improve quality and delivery.
• Establish guardrails for where AI helps and where it must not across the SDLC.
• Design CI/CD pipelines with automation to improve release reliability and reduce manual steps.
• Lead evaluation sessions with external vendors and internal teams on designs and architectures.

Skills

Python

CI/CD

Cloud

DevSecOps

Leadership

PySpark

Spark

SQL

Tools

Databricks

Terraform

Job description

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts and advanced applied experience in Python
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Ability to define a practical operating model for AI-assisted development, including approved use cases, do/dont guidance, and escalation paths
• Ability to establish validation standards for AI outputs, including mandatory peer review, secure coding checks, and automated test requirements before merge or release
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and resiliency and security expectations
• Experience coaching engineers on safe, compliant adoption of AI-assisted tools within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Preferred: Advanced Apache Spark experience, including PySpark/Spark SQL, performance tuning, troubleshooting, and scalable batch/stream processing patterns
• Preferred: Deep lakehouse and data platform expertise applied in production environments
• Preferred: Strong DevSecOps and platform engineering capability, including CI/CD design, automated security/quality gates, observability, SLOs/SLAs, and incident management/RCA in regulated environments
• Preferred: Proven end-to-end delivery leadership for large, cross-functional initiatives
• Preferred: Experience driving responsible, enterprise-approved AI-assisted engineering adoption and building reusable golden path templates/pattern libraries

Responsibilities:

• Execute creative software solutions, design, development, and technical troubleshooting to build solutions and solve technical problems
• Develop secure and high-quality production code, and review and debug code written by others
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Establish clear guardrails for where AI helps and where it must not across the SDLC
• Implement a repeatable AI-assisted review workflow with PR checklists, quality gates, and approval criteria
• Apply knowledge of SDLC tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Select and standardize the right tools across planning, code, build, test, security scanning, release, and operations
• Design CI/CD pipelines with measurable outcomes and use automation to remove manual steps and improve release reliability
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability within existing systems and information architecture

Technologies:

• AI
• CI/CD
• Cloud
• DevSecOps
• Incident Management
• Marketing
• Python
• PySpark
• SQL
• Security
• Spark
• Databricks
• DevOps
• Support
• Terraform

More:

We are J.P. Morgan Chase, a global leader in financial services, providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. Our Credit Data Pond team within Wholesale credit risk technology works as an agile team to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. We value diversity and inclusion, offer a first-class business in a first-class way approach to serving clients, and are committed to building trusted, long-term partnerships that help our clients achieve their business objectives. Our corporate functions span finance and risk, human resources, and marketing, supporting our businesses, clients, customers, and employees for success. This is a full-time role.

last updated 36 week of 2026