Principal Software Engineer - Glasgow

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

Job summary

JPMorganChase in Glasgow seeks a senior software engineering leader to architect governance-by-design patterns for identity solutions across platforms. You will drive secure design, evidence collection, and compliant reporting at scale.

You will influence senior engineers and cross-team leaders while embedding agentic AI-enabled engineering workflows and rigorous governance across complex systems.

Qualifications

• Formal training or certification on software engineering concepts.
• Ownership of complex, production-grade systems in large enterprises.
• Experience with AI-assisted software development and agentic capabilities.
• Ability to influence senior technical leaders on safe scaling patterns and governance.

Responsibilities

• Architect and build governance-by-design patterns and libraries with policy controls and evidence collection.
• Create standards and tooling (CLI, SDKs, libraries, templates) for identity solutions.
• Partner with platform owners to embed continuous compliance reporting.
• Integrate AI capabilities so patterns include agent-ready identity constructs and AI reporting.

Skills

Software engineering

Production systems ownership

Python

Java

C++

Go

Scala

AI integration

Security & governance

Technical leadership

Tools

CLI tooling

SDKs

Identity platforms

Security tooling

Job description

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts and expert applied experience
• Professional software engineering experience with ownership of complex, production-grade systems in large enterprise environments
• Proficiency in programming languages such as Python, Java, C++, Go, or Scala
• Experience using AI assistants in software engineering including agentic capabilities
• Experience developing engineering practices across teams, including identity and security engineering patterns and standards
• Understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance
• Experience influencing leaders and engineers across large organizations to drive pattern adoption and reuse
• Experience designing and operating distributed systems or internal platforms used by multiple teams
• Strong technical communication and stakeholder management skills
• Demonstrated experience designing and leading adoption of agentic AI-enabled development practices across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data
• Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse
• Experience delivering systems with auditability, traceability, and compliance requirements in regulated environments
• Ability to influence architecture decisions and collaborate effectively across teams

Responsibilities:

• Architect and build governance-by-design patterns and libraries that embed policy controls, approvals, and evidence collection
• Create standards and tooling such as CLI, SDKs, libraries, templates, and automated checks that make it easy to adopt and evidence compliant identity solutions across diverse platforms and services
• Partner with platform owners to ensure that continuous compliance reporting is embedded in the systems we build and consume
• Integrate AI capabilities so that our standard patterns include agent-ready identity constructs and can leverage AI where useful for reporting and review
• Drive engineering excellence through design reviews, reference architectures, coding standards, performance benchmarking, and reliability engineering practices as part of existing governance processes
• Coach and grow engineers, providing technical guidance and fostering a culture of quality, ownership, and continuous improvement
• Work closely with identity architects, platform engineers, and risk and control partners to ensure we leverage best-in‑class solutions and embed them in our development practices and tools
• Architect and govern agentic AI-enabled engineering workflows using enterprise‑authorized tools within the work environment to improve delivery speed, code quality, and operational outcomes at scale, while defining guardrails for validation, security, resiliency, and reuse across teams
• 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 at scale

Technologies:

• Agentic AI
• AI
• Architect
• Embedded
• Support
• Java
• Marketing
• Python
• Scala
• Security

More:

We are JPMorganChase, a global leader in financial services, providing strategic advice and products to the worlds most prominent corporations, governments, wealthy individuals, and institutional investors. In Infrastructure Platforms Engineering & AI Practices, we are placing security and compliance at the heart of our engineering and platforms, building shared services and governance-by-design patterns that help teams across the firm build and govern technology at scale. We offer a first-class business in a first-class way approach, with a strong focus on trusted long-term partnerships, diversity and inclusion, and support for applicants and employees who need accommodations. Our Corporate Functions teams span finance, risk, human resources, and marketing, helping set our businesses, clients, customers, and employees up for success. This is a full-time role.

last updated 36 week of 2026