Software Engineer Iii (AWS/Databricks, Terraform)

September 21, 2026

Remote

Middle

London, United Kingdom

Description

A Software Engineer III is sought for a Cloud Data Platform team based in London. The role is hands-on: designing, provisioning, and operating a modern cloud data platform built on AWS and Databricks for enterprise-scale data workloads. The engineer partners with data engineers, security, and platform teams to deliver scalable, secure, and production-ready infrastructure. The position sits in a regulated financial-services environment with strong emphasis on security, auditability, and engineering craftsmanship.

Responsibilities

Design, build, and maintain cloud infrastructure on AWS using Terraform, including networking, security, compute, storage, and managed services
Develop and manage Databricks platform capabilities such as workspaces, clusters, policies, jobs, libraries, and integrations
Build automation around platform provisioning and operations using Python or Java
Create and maintain CI/CD pipelines for infrastructure and platform deployments, including Terraform plan/apply workflows and policy checks
Implement security best practices: least-privilege access, secrets management, encryption, network segmentation, and auditability
Improve platform reliability through observability tooling, alerting, incident response, and performance and cost optimization
Collaborate with stakeholders to translate business and technical requirements into scalable platform designs
Document standards, patterns, and runbooks for team-wide use
Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity
Apply knowledge of the SDLC toolchain and AI-assisted development and automation capabilities

Requirements

Formal training or certification in software engineering concepts and proficient applied experience
Strong hands-on experience provisioning AWS infrastructure with Terraform, including modules, remote state, and workspace/environment management
Solid experience with core AWS services for data platforms: VPC, IAM, S3, EC2/ECS/EKS, RDS, KMS, CloudWatch, and load balancing
Working experience with Databricks, including platform administration or supporting production workloads
Proficiency in Python (preferred) or Java for building automation, tooling, and platform integrations
Experience with Git-based workflows and CI/CD applied to infrastructure and platform delivery
Strong troubleshooting skills across cloud infrastructure, distributed systems, and data or platform pipelines
Hands-on experience with enterprise-authorized AI-assisted development tools and ability to critically validate AI-generated outputs
Understanding of responsible AI use, data sensitivity, and secure handling of inputs and outputs
Experience with data lakehouse architectures using Delta Lake or Apache Spark
Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift, or Athena
Exposure to data governance practices including cataloging, lineage tracking, and platform-level access control
AWS certification in cloud architecture, data, security, or DevOps disciplines
Experience in regulated industries where security, auditability, and compliance are core platform requirements

AWSTerraformDatabricksPythonJavaGitCI/CDVPCIAMS3EC2ECSEKSRDSKMSCloudWatchload balancingfinancial servicesDelta LakeApache SparkGlue

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