Lead Software Engineer - Go / Python

JPMorgan Chase & Co.; Glasgow; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in United Kingdom is seeking a Lead Software Engineer to join the Core Foundational Platforms team.

You will be a core technical contributor delivering trusted, secure, scalable technology products across multiple business functions. You will lead with hands-on design, development, testing, and operations, enabling AI-driven automation and improved delivery speed while maintaining governance and security across teams.

Qualifications

• Formal training or certification in software engineering concepts and applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming languages: Go, Python, React, Java.
• Proficiency in Terraform, Ansible or other automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies (CI/CD, Application Resiliency, Security).
• Experience with cloud-native technologies and architectures.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio to drive improvements in delivery speed, reliability, and code quality while defining guardrails for validation, security, resiliency, and reuse across teams
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities
• Leads evaluation sessions with external vendors, startups, and internal teams to probe architectural designs and applicability for use within existing systems
• Leads communities of practice across Software Engineering to drive awareness and use of new technologies
• Adds to team culture of diversity and opportunity.

Skills

Go

Python

React

Java

CI/CD

Cloud-native

Education

Formal training or certification in software engineering concepts

Tools

Terraform

Ansible

Automation tools

Job description

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

As a Lead Software Engineer at JPMorgan Chase within the Core Foundational Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions.
• Applies 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 at scale.
• Leads 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity and opportunity.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) ideally including one of Go, Python, React, Java
• Proficiency in Terraform, Ansible or other automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes.
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience in Infrastructure Architecture designs
• Experience in AWS EKS, GCP GKE ecosystems a plus
• Knowledge of industry-wide technology trends and best practices
• Knowledge of multiple Cloud Platforms
• Proficiency in database technology such as Oracle / MS SQL / Cockroach