Software Engineer II - AI/ML Infrastructure and Development Engineer

JPMorgan Chase & Co.; Camden Town; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading global financial services firm in Camden Town is seeking an Infrastructure and Development Engineer. You will design and implement AI/ML infrastructure solutions leveraging AWS, Terraform, and Python. The role requires collaboration with internal teams, contributing to operational efficiency and innovation. Successful candidates will possess strong problem-solving skills, a degree-level education, and familiarity with cloud architecture. This position offers a dynamic work environment in the financial services industry.

Qualifications

• Proficiency with AWS technologies, including EKS, S3, databases, and Lambda.
• Hands-on experience with Terraform for infrastructure as code and automation.
• Degree-level education.

Responsibilities

• Design and implement AI/ML infrastructure solutions using AWS and Terraform.
• Ensure scalability and security in all infrastructure projects.
• Automate provisioning processes to enhance stability.

Skills

AWS

Terraform

Python

Problem-solving

Cloud architecture

AI/ML understanding

Documentation

Education

Degree-level education

Tools

AWS services (EKS, S3, databases, Lambda)

Terraform

Job description

Overview

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.

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
• Formal training or certification on software engineering concepts and expanding applied experience
• Proficiency with AWS technologies, including EKS, S3, databases, 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