Job Description:

Platform Engineer

Contract Role | Inside IR35
Client: IBM - End client Banking
Work Pattern: Hybrid (client site attendance required as needed, Swindon)

Rate: £500 per day (Inside IR35)

Overview

IBM is seeking an experienced Platform Engineer to support the development, automation, and optimisation of modern cloud-based data platforms. The successful contractor will play a key role in designing and maintaining scalable infrastructure, enabling efficient software delivery through DevOps practices, and supporting data engineering teams with robust platform capabilities.

This role requires a strong technical background across cloud technologies, infrastructure as code, automation, CI/CD pipelines, data platform tooling, and software engineering best practices.

Key Responsibilities

• Design, build, and maintain cloud-based platform infrastructure using Infrastructure as Code (IaC) principles.
• Develop and manage automated CI/CD pipelines to support rapid, secure, and reliable software deployments.
• Implement and maintain Terraform-based infrastructure solutions across cloud environments.
• Develop Python-based tools, automation scripts, and utilities to support platform operations and data engineering requirements.
• Collaborate with development, testing, and data engineering teams within Agile delivery environments.
• Support the design, implementation, and optimisation of modern data platforms and associated infrastructure.
• Build and maintain scalable ETL processes and data pipelines following industry best practices.
• Automate routine operational and data-related processes to improve efficiency and reduce manual intervention.
• Perform functional and non-functional testing activities to ensure platform reliability, performance, and scalability.
• Monitor platform health, troubleshoot issues, and implement continuous improvements.
• Contribute to platform security, governance, resilience, and operational excellence initiatives.

Required Skills & Experience

• Strong experience working as a Platform Engineer, DevOps Engineer, Cloud Engineer, or similar role.
• Proven expertise in DevOps methodologies and CI/CD tooling.
• Strong hands-on experience with Terraform for Infrastructure as Code (IaC).
• Advanced Python programming skills for automation, scripting, and tool development.
• Experience working within Agile delivery environments.
• Experience conducting functional and non-functional testing.
• Strong knowledge of public cloud platforms such as:
  • AWS
  • Microsoft Azure
• Experience designing, deploying, and optimising cloud infrastructure.
• Experience with modern data engineering platforms and tooling, including Databricks.
• Strong understanding of data pipeline development and ETL processes.
• Experience implementing automation solutions to streamline operational activities.
• Strong troubleshooting and problem-solving skills.
• Ability to work effectively within cross-functional technical teams.

Desirable

• Experience supporting enterprise-scale data platforms.
• Knowledge of monitoring and observability tools.
• Experience working in highly regulated or large enterprise environments.
• Familiarity with security and compliance considerations within cloud platforms.
• Exposure to containerisation technologies and orchestration platforms.
  The successful candidate is likely to have experience with some or all of the following:
• Terraform
• Python
• AWS
• Microsoft Azure
• Databricks
• CI/CD Pipelines
• DevOps Tooling
• ETL Frameworks
• Agile Delivery Methodologies
• Infrastructure as Code (IaC)
• Automation & Scripting

Soft Skills

• Strong communication and stakeholder engagement skills.
• Ability to work independently and manage competing priorities.
• Collaborative approach to problem solving.
• Strong analytical and troubleshooting capabilities.
• Focus on continuous improvement and operational excellence.

Ideal Candidate

The ideal candidate will be an experienced Platform Engineer with a strong blend of cloud infrastructure, automation, DevOps, and data engineering expertise. They will be comfortable working across the full platform lifecycle, from infrastructure provisioning and CI/CD implementation through to data pipeline optimisation and ongoing platform support.

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