Software Engineer III - Cloud Data Platform

Salary: £62,000 - 102,000 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
• Network
• Python
• Security
• Spark
• Terraform
• Marketing

More:

At JPMorganChase, we build cloud data platforms at enterprise scale with a focus on craftsmanship, collaboration, and continuous improvement. As a Software Engineer III on our Cloud Data Platform team, we work hands-on to design, provision, and operate a modern AWS and Databricks platform that enables scalable, secure, and production-ready analytics workloads. Our work supports reliable, well-governed data solutions that drive insight and decision-making across the firm. We are a global financial services leader with a strong commitment to diversity, inclusion, and equal opportunity, and we value the diverse talents that strengthen our global workforce. Our corporate functions teams play an essential role in supporting our business, clients, customers, and employees.

last updated 35 week of 2026