Senior Cloud Data Platform Engineer

JPMorgan Chase & Co.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorganChase in London invites applications for a Software Engineer III to design and operate a scalable cloud data platform built on AWS and Databricks. You will ensure production readiness, security, and governance for trusted analytics across the firm.

You will collaborate with data engineers, security, and platform teams to translate requirements into robust infrastructure, automation, and governance that enable insight-driven decisions for the business and its people.

Qualifications

• Formal training or certification on software engineering concepts and proficient applied experience
• Strong hands-on experience provisioning AWS infrastructure with Terraform, including modules, remote state, workspace/environment management, and change management workflows
• Solid experience with core AWS services relevant to cloud data platforms, such as VPC, IAM, S3, EC2/ECS/EKS, RDS, KMS, CloudWatch, and load balancing
• Working experience with Databricks, including platform administration and/or building and supporting production workloads
• Proficiency in Python (preferred) or Java, with demonstrated ability to build automation, tooling, and platform integrations
• Experience with Git-based workflows and CI/CD practices applied to infrastructure and platform delivery
• Strong troubleshooting skills across cloud infrastructure, distributed systems, and data or platform pipelines
• Hands-on experience using enterprise-authored AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Responsibilities

• Design, build, and maintain cloud infrastructure on AWS using Terraform, including networking, security, compute, storage, and managed services, following infrastructure-as-code best practices
• Develop and manage Databricks platform capabilities — including workspaces, clusters, policies, jobs, libraries, and integrations — to support production-grade data workloads
• Build automation around platform provisioning and operations using Python or Java, reducing manual effort and improving consistency across environments
• Create and maintain CI/CD pipelines for infrastructure and platform deployments, including Terraform plan/apply workflows, policy checks, and automated testing
• Implement security best practices across the platform, including least-privilege access controls, secrets management, encryption, network segmentation, and auditability
• Improve platform reliability through observability tooling — logging, metrics, and tracing — alongside alerting, incident response practices, and performance and cost optimization
• Collaborate with stakeholders to translate business and technical requirements into scalable platform designs, and document standards, patterns, and runbooks for team-wide use
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards
• Apply 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

Terraform

AWS

Databricks

Python

Java

CI/CD

Security

Observability

AI-assisted tools

Tools

Git

Terraform workflows

Job description

JPMorganChase in London invites applications for a Software Engineer III to design and operate a scalable cloud data platform built on AWS and Databricks. You will ensure production readiness, security, and governance for trusted analytics across the firm.

You will collaborate with data engineers, security, and platform teams to translate requirements into robust infrastructure, automation, and governance that enable insight-driven decisions for the business and its people.