Software Engineer II - AI/ML Infrastructure and Development Engineer

JPMorgan Chase & Co.; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial services firm in Greater London is seeking an Infrastructure and Development Engineer to design and maintain AI/ML infrastructure. The role requires expertise in AWS, Terraform, and Python, focusing on secure, scalable environments for model deployment. Ideal candidates will have a background in software engineering and strong problem-solving skills, contributing to innovation and operational efficiency within diverse teams.

Qualifications

• Formal training or certification in software engineering concepts.
• Proficiency in AWS technologies and related best practices.
• Hands-on experience with Terraform and Python programming.

Responsibilities

• Design, engineer, and implement AI/ML infrastructure solutions using AWS and Terraform.
• Ensure operational efficiency and security in infrastructure projects.
• Automate management processes to enhance stability.

Skills

AWS technologies

Terraform

Python programming

Problem-solving abilities

Continuous learning

Infrastructure engineering

Communication with stakeholders

Education

Degree-level education

Tools

AWS EKS

AWS S3

AWS Database

AWS Lambda

Job description

Join us and help shape the future of AI/ML infrastructure at JPMorgan Chase. You will have the opportunity to work with cutting-edge technologies and collaborate with talented teams to deliver secure and scalable solutions. Your expertise will directly impact our strategic goals and support the deployment of advanced models. We value your creativity, problem-solving skills, and commitment to continuous learning. Be part of a team that celebrates diversity, equity, and respect.

As an Infrastructure and Development Engineer at JPMorgan Chase within the Commercial and Investment Banking team, you will design, build, and maintain robust AI/ML infrastructure. You will leverage AWS, Terraform, and Python to create secure and scalable environments for model deployment. Collaborating with internal teams, you will contribute to a culture of innovation and ensure our solutions align with the firm’s technology strategy. Your work will help promote operational efficiency and support our commitment to excellence.

Job Responsibilities:

• Design, engineer, and implement AI/ML infrastructure solutions using AWS, Terraform, and Python
• Ensure scalability, security, and operational efficiency in all infrastructure projects
• Troubleshoot complex infrastructure issues and optimize performance
• Automate provisioning and management processes to enhance stability and reduce manual tasks
• Collaborate with internal teams to evaluate architectural designs and technical credentials
• Align solutions with existing systems and cloud architecture
• Contribute to a team culture that values opportunity and respect

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on software engineering concepts and expanding applied experience.
• Proficiency with AWS technologies, including EKS, S3, Database, and Lambda
• Hands‑on experience with Terraform for infrastructure as code and automation
• Competence in Python programming
• Strong problem‑solving abilities
• Willingness to learn new technologies and processes
• Experience in infrastructure engineering, implementation, testing, and operational stability
• Familiarity with continuous delivery methods and infrastructure lifecycle management
• Proficiency in infrastructure applications and technical processes within cloud computing and automation
• Understanding of AI/ML model purposes and functions
• Ability to communicate clearly and collaborate with business stakeholders
• Knowledge of financial services industry IT systems
• Degree‑level education

Preferred Qualifications, Capabilities, and Skills:

• Experience supporting AI/ML model deployments in production environments
• Advanced knowledge of cloud security best practices
• Familiarity with DevOps methodologies and tools
• Experience working in large, matrixed organizations
• Exposure to regulatory requirements in financial services
• Strong documentation and technical writing skills
• Ability to mentor and support junior engineers