Software Engineer III - AI ML Platform Reliability

Salary: £100,000 - 100,000 per year

Requirements:

• Formal training or certification in software engineering concepts, with proficient applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in Python.
• Proficiency across the Software Development Life Cycle.
• Experience with infrastructure-as-code and cloud-native delivery practices, including Terraform, containers, Kubernetes, CI/CD pipelines, and automated deployment workflows.
• Experience designing and developing large-scale distributed systems and cloud-native architecture.
• Experience building large-scale infrastructure and cloud-native delivery practices in Google Cloud, AWS, or Azure, with Terraform.
• Extensive experience implementing advanced observability using tools such as OpenTelemetry, Dynatrace, Grafana, or cloud-native services.
• Strong systematic problem-solving and troubleshooting skills in complex systems.
• Hands-on experience using enterprise-authorized AI-assisted software development tools, with the ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.

Responsibilities:

• Design and implement solutions that enhance the reliability and scalability of AI/ML platforms and applications to support fast-growing demands.
• Own non-functional requirements and develop tooling for observability, security, resilience, infrastructure management, and operational excellence.
• Build and maintain scalable infrastructure to support the deployment and operation of large-scale AI platforms and applications.
• Build strong cross-functional relationships to drive engagement across the organization and deliver solutions to user problems.
• Participate in on-call rotations and escalation workflows.
• Debug and solve production issues, taking full ownership of problems and developing solutions.
• Deliver creative software solutions through design, development, and technical troubleshooting.
• Develop secure, high-quality production code and review and debug code written by others.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability.
• Use enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity while validating outputs through peer review, automated testing, and secure coding standards.
• Apply knowledge of SDLC tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Contribute to a team culture of diversity, opportunity, inclusion, and respect.

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Dynatrace
• Grafana
• Support
• Kubernetes
• Machine Learning
• OpenTelemetry
• Python
• Security
• Terraform
• AI Agents
• Marketing

More:

We are partnering directly with JPMorganChase to hire for this Software Engineer III role within our AI/ML Data Platforms organization. You will join our Reliability Engineering team and help design and deliver trusted, market-leading technology products that power AI and machine learning at scale. We are focused on building resilient, secure, and scalable AI/ML platforms with operational excellence at the core. JPMorganChase is a global leader in financial services, serving corporations, governments, wealthy individuals, and institutional investors, and we value diversity, inclusion, and long-term client partnerships. Our Corporate Functions team supports key areas across the firm, helping set our businesses, clients, customers, and employees up for success.

last updated 33 week of 2026