Cloud Data Platform Engineer III (AWS/Databricks/Terraform)

J.P. MORGAN; Glasgow; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III to design, provision, and operate a modern cloud data platform on AWS and Databricks. You will work with data engineers, security, and platform teams to deliver scalable, secure, and production-ready infrastructure that powers analytics across the firm.

You’ll build automation, implement security controls, and improve platform reliability through observability, while collaborating to translate business needs into reusable platform patterns and

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.

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 (e.g., code generation/refactoring, unit test creation, documentation), 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

Cloud infrastructure

Terraform

Python

Java

CI/CD practices

Databricks

Security best practices

AI-assisted development tools

Tools

Terraform (IaC)

Databricks

Python

Java

Git

CI/CD pipelines

AWS

Job description

JPMorganChase is seeking a Software Engineer III to design, provision, and operate a modern cloud data platform on AWS and Databricks. You will work with data engineers, security, and platform teams to deliver scalable, secure, and production-ready infrastructure that powers analytics across the firm.

You’ll build automation, implement security controls, and improve platform reliability through observability, while collaborating to translate business needs into reusable platform patterns and