Software Engineer III - Cloud Data Platform (AWS/Databricks, Terraform)

Our client is a leading global investment bank. JOB DESCRIPTION Your expertise in cloud infrastructure and data platforms can shape how an entire enterprise accesses, processes, and trusts its data. We build platforms that operate at a scale few organizations ever encounter — and we do it with a team that values craftsmanship, collaboration, and continuous improvement.

This is an opportunity to grow your skills, deepen your cloud and data platform expertise, and make a direct impact on solutions that matter to the business and the people it serves. As a Software Engineer III at our client within the Cloud Data Platform team, you will be hands-on designing, provisioning, and operating a modern cloud data platform built on AWS and Databricks.

You will partner with data engineers, security, and platform teams to deliver infrastructure that is scalable, secure, and production-ready. Your work will enable reliable, well-governed analytics workloads that drive insight and decision-making across the firm.

Job 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, deliv...

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