Lead Software Engineer - Cloud Runtime Compute

JPMorgan Chase & Co.; Glasgow; On-site; GBP 85,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. in Glasgow seeks a Lead Software Engineer to advance cloud runtime compute products in a security-first framework.

You will collaborate with Infrastructure Platform partners and SRE teams, shaping design, implementation, and security controls across the product lifecycle. The role emphasizes hands-on system design, multiple languages, agile practices, and leadership in adopting enterprise AI-assisted development tools while driving reliable, cost-efficient runtime compute

Qualifications

• Experience with cloud-native development and security-first product lifecycles.
• Hands-on system design, development, testing, and operations across SDLC.
• Proficiency in multiple programming languages and agile practices.
• Experience leading the use of AI-assisted software development tools and ensuring code quality.
• Strong understanding of responsible AI, data sensitivity, and security expectations.

Responsibilities

• Cloud Runtime Compute Engineering: Develop and engineer cloud runtime compute products and solutions with a security-first approach. Ensure compliance with the firm's security control policies and procedures throughout the product lifecycle, utilizing technologies such as Terraform, Rego, Sentinel, GoLang, Python, and other languages as required.
• Cross-Functional Collaboration: Work collaboratively with engineers and architects in Infrastructure Platform teams, engage with Runtime Compute Product Security for threat modelling, and partner with Commercial & Investment Bank SRE, Architecture, and application teams for investigations and solution design.
• Teamwork and Support: Actively participate in team activities, communicate effectively, and support team members as needed. Work towards aligning on project goals and timelines, fostering a cooperative and positive work environment.
• Documentation: Create and maintain user guides, architecture and design records, and other essential documentation to support product development and usage.
• Cultural Contribution: Actively contribute to a team culture that values diversity, opportunity, inclusion, and respect, fostering a positive and collaborative organizational environment.
• Drives 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.
• 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.

Skills

Cloud-native development

GoLang

Python

Terraform

Security-first mindset

AI-assisted development tools

Agile methodologies

Education

Computer Science degree or equivalent

Tools

Terraform

Rego

Sentinel

GoLang

Python

Job description

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank Runtime Compute Team, part of Cloud Success, you play a crucial role in an agile team. You collaborate closely with stakeholders and customers across Infrastructure Platforms technology partners, and Cybersecurity & Technology Controls to enhance, develop, and deliver firm-wide cloud runtime compute products and features. Your efforts focus on reducing runtime compute costs, improving reliability and performance, and enabling broader runtime compute strategies and solutions.

Job Responsibilities

• Cloud Runtime Compute Engineering: Develop and engineer cloud runtime compute products and solutions with a security-first approach. Ensure compliance with the firm's security control policies and procedures throughout the product lifecycle, utilizing technologies such as Terraform, Rego, Sentinel, GoLang, Python, and other languages as required.
• Cross-Functional Collaboration: Work collaboratively with engineers and architects in Infrastructure Platform teams, engage with Runtime Compute Product Security for threat modelling, and partner with Commercial & Investment Bank SRE, Architecture, and application teams for investigations and solution design.
• Teamwork and Support: Actively participate in team activities, communicate effectively, and support team members as needed. Work towards aligning on project goals and timelines, fostering a cooperative and positive work environment.
• Documentation: Create and maintain user guides, architecture and design records, and other essential documentation to support product development and usage.
• Cultural Contribution: Actively contribute to a team culture that values diversity, opportunity, inclusion, and respect, fostering a positive and collaborative organizational environment.
• Drives 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.
• 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.

Required qualifications, capabilities, and skills

• Computer Science degree or equivalent expertise
• Practical cloud native experience
• Hands-on experience in system design, application development, testing, and maintaining operational stability throughout the software development lifecycle, incorporating agile methodologies and practices.
• Strong experience with more than one programming language
• Good understanding of agile methodologies/practices
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

• Proven ability to navigate complex organizational structures.
• Preferably experience owning and operating a complex containerized runtime compute solution, e.g. AWS EKS
• Knowledge of networking and routing in cloud environments, including the ability to create and manage network policies effectively
• Experience with cloud roles, permissions, and role-based access control, particularly within a containerized cloud environment
• Certified Kubernetes Application Developer (CKAD) certification, or a strong interest in obtaining it, demonstrating proficiency in Kubernetes application development
• Knowledge of the financial services industry and IT systems