Software Engineer III - Cloud Data Platform

Salary: £100,000 - 100,000 per year

Requirements:

• 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-authorized 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
• Experience with data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworks
• Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift, or Athena
• Exposure to data governance practices including cataloging, lineage tracking, and data access control at the platform layer
• AWS certification(s) in cloud architecture, data, security, or DevOps disciplines
• Experience working in regulated industries where security, auditability, and compliance are core platform requirements

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, including 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

Technologies:

• AI
• AWS
• Redshift
• CI/CD
• Cloud
• CloudWatch
• Databricks
• DevOps
• EC2
• Git
• IAM
• Support
• Java
• Load Balancing
• Marketing
• Network
• Python
• Security
• Spark
• Terraform

More:

We are partnering directly with JPMorganChase to hire for this role. As a Software Engineer III on our 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 work with data engineers, security, and platform teams to deliver scalable, secure, production-ready infrastructure that enables reliable, well-governed analytics workloads across the firm. We value craftsmanship, collaboration, and continuous improvement, and this role offers the opportunity to deepen your cloud and data platform expertise while making a direct impact on the business. J.P. Morgan is a global leader in financial services, and our Corporate Functions team supports finance, risk, human resources, and marketing. We are committed to diversity and inclusion and to building trusted, long-term partnerships.

last updated 34 week of 2026