Lead Software Engineer - Go / Python

JPMorganChase; Glasgow; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorgan Chase in the United Kingdom seeks a Lead Software Engineer to contribute as a core technical partner within Core Foundational Platforms. You will drive secure, scalable solutions across multiple business functions, guiding AI-enabled development and governance while improving delivery and reliability.

You will lead design reviews, mentor teams, and collaborate with vendors and internal groups to push modern cloud-native solutions and secure practices across the SDLC.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years 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, AI/ML)
• In-depth knowledge of the financial services industry and their IT systems
• Demonstrated experience designing and scaling agentic AI-enabled development patterns with governance

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with ability to go beyond routine approaches
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to automate remediation to improve stability
• Sets strategy and standards for agentic AI-enabled engineering across a portfolio to drive delivery speed and quality
• Applies knowledge of SDLC tools, including AI-assisted development and automation capabilities
• Leads evaluation sessions with vendors, startups, and internal teams on architecture and applicability
• Leads communities of practice across Software Engineering to drive awareness of new technologies
• Contributes to team culture of diversity and opportunity

Skills

Go

Python

React

Java

CI/CD

Agile

AI/ML basics

Security practices

Scalability design

Governance

Tools

Terraform

Ansible

CI/CD tooling

Kubernetes

Cloud platforms

Job description

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 5+ years 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

Diversity and Inclusion

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.