2 of 2 Infrastructure Automation Jobs in Midlothian

services hosted on Public Cloud platforms. Youll bring strong software engineering expertise, coupled with DevOps proficiency across AWS and GCP, to design and implement resilient frontend clients, backend services, infrastructure automation, and cloud-native solutions. Key Responsibilities Design, develop and maintain secure, performant backend REST API services and frontend clients using Python, GoLang, Docker, and Cloud-Native services. … schema changes using Liquibase, ensuring compliance with audit and regulatory standards. Build and maintain CI/CD pipelines in collaboration with DevOps and Security teams. Manage and optimise cloud infrastructure across AWS and GCP, ensuring resilience, cost efficiency, and security. Collaborate with infrastructure, architecture, and cybersecurity teams to meet compliance and governance requirements. Support live systems, conduct root … Knowledge of regulatory and compliance standards, ideally within financial services. Excellent communication skills with experience working in Agile environments. Essential Technical Expertise Public Cloud services (AWS/GCP). Infrastructure build/configuration: Compute, Storage, Networking. Linux administration. Relational and NoSQL databases. Integration services (messaging, streams). RESTful API development. Containerisation, Kubernetes, serverless functions. Microservices & distributed tracing. Logging/ More ❯

place, the focus is now on accelerating data accessibility and availability across the business. By partnering with business-aligned Tribes, we aim to unlock greater value from data, drive automation and AI-powered efficiencies, fuel innovation, and support scalable growth - all built on a continuously evolving modern data platform. About the Role As a Data Platform Engineer, you will … autonomously own, access, and manage their data via self-service Data Products, while maintaining governance across a distributed data landscape. Key Responsibilities Data Mesh Architecture & Implementation Data Platform Development & Automation Data Product Design & Governance Cloud Data Warehousing & Transformation Security & Compliance Collaboration & Knowledge Sharing About the Candidate The ideal candidate will possess the following: Familiarity with Data Mesh principles and … technologies, including Snowflake, Azure, and dbt. Competency in Scripting languages such as SQL, PowerShell, and Python. Proficiency with Azure DevOps for CI/CD pipeline management and Terraform for infrastructure automation. Strong understanding of data security, governance, and compliance standards. Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical audiences. A continuous learning More ❯