Lead Software Engineer – Applied AI/ML Infrastructure – Cloud/Platform - (Kubernetes / AWS / Te[...]

J.P. Morgan; London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading global financial services firm in London is seeking a Lead Software Engineer for their Corporate and Investment Banking team. The role involves designing and deploying resilient application infrastructure on AWS and Kubernetes, collaborating with cross-functional teams to support AI/ML solutions. Ideal candidates will possess strong experience in AWS, Terraform, and excellent communication skills. This position offers a dynamic environment in a prestigious organization.

Qualifications

• Proven hands-on experience with AWS services.
• Strong experience with Kubernetes.
• Demonstrated ability to design and operate resilient infrastructure.

Responsibilities

• Design and operate application infrastructure using Amazon EKS/ECS.
• Build foundational data storage infrastructure.
• Implement resiliency best practices.

Skills

Hands-on experience with AWS services

Strong experience with Kubernetes

Proficiency with Infrastructure as Code tools

Experience automating operational tasks

Excellent communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform

Amazon EKS

OpenSearch

Job description

As a Lead Software Engineer at JPMorgan Chase within the Corporate and Investment Banking Applied Artificial Intelligence and Machine Learning team, you will play a pivotal role in transforming the operations of the world's largest bank. You will collaborate with software engineers, data scientists, and line of business teams to develop and sustain resilient infrastructure for AI/ML solutions.

Job Responsibilities

• Design, deploy, and operate application infrastructure using Amazon EKS/ECS.
• Build and maintain foundational data storage infrastructure, including Aurora Postgres, OpenSearch, and Amazon S3.
• Deploy and operate open-source AI/ML software, ensuring scalability, security, and operational efficiency.
• Automate infrastructure provisioning and management using Terraform, Helm, Spinnaker, and related tools.
• Implement and uphold resiliency best practices, including defining and meeting SLAs/SLOs.
• Monitor and manage controls and hygiene alerts to maintain compliance and operational excellence.
• Lead initiatives to promote best practices in infrastructure engineering and DevOps.
• Collaborate closely with SRE and production monitoring teams to ensure system reliability, performance, and rapid incident response.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification.
• Proven hands-on experience with AWS services (Aurora/RDS, EKS, ECS, VPC, IAM, S3).
• Strong experience with Kubernetes (Amazon EKS).
• Proficiency with Infrastructure as Code (IaC) tools, such as Terraform.
• Experience automating operational tasks and CI/CD workflows.
• Demonstrated ability to design and operate resilient, scalable, and secure infrastructure in production environments.

• Excellent communication skills, with the ability to convey technical information clearly and build trust with stakeholders at all levels.

Preferred Qualifications, Capabilities, and Skills

• Practical experience deploying LLM-based applications into production and an understanding of MLOps.