United Kingdom onlyFoodChain ID is seeking a motivated and technically curious Cloud Engineer II to join our Cloud Services team. This role is ideal for an engineer who enjoys solving infrastructure challenges, improving reliability through automation, and building scalable cloud platforms in a modern DevOps environment.
You will support and enhance cloud infrastructure across AWS and Azure environments while partnering with development teams and senior engineers to improve infrastructure, deployment workflows, observability, and operational excellence. This role provides hands-on experience across Cloud Operations, Infrastructure as Code (IaC), DevOps, Reliability Engineering, and Platform Engineering.
This position reports to the Cloud Services Manager and is remote based.
Primary Responsibilities
- Support and maintain cloud infrastructure, applications, and platform services across AWS and Azure
- Monitor platform health, performance, and reliability while troubleshooting infrastructure and deployment issues
- Design, build, and maintain scalable Terraform infrastructure using Infrastructure as Code best practices
- Develop reusable Terraform modules and deployment patterns for multi-environment and multi-account architectures
- Build, support, and improve CI/CD pipelines and automated deployment workflows
- Collaborate with development teams to support deployments, troubleshoot release issues, and improve operational processes
- Partner with senior engineers on cloud architecture, scalability, resiliency, and modernization initiatives
- Support cloud security standards, governance, backup/recovery, and disaster recovery initiatives
- Improve reliability and operational efficiency through automation, monitoring, observability, and cost optimization
- Participate in incident response, root cause analysis, and continuous improvement efforts
- Create and maintain technical documentation, operational runbooks, and knowledge base articles
- Work within issue and project tracking systems to document work and support collaboration
- Participate in a shared on call rotation
Required Qualifications
- 2+ years of experience with systems, infrastructure, or network administration
- 2+ years of experience operating infrastructure within AWS environments
- Experience with networking, DNS, backup/recovery, and disaster recovery concepts
- Experience building and maintaining CI/CD pipelines and deployment automation
- Experience with monitoring, logging, and observability platforms
- Proficiency with Terraform and Infrastructure as Code practices in a version-controlled environment such as Git
- Experience with scripting languages such as Python, Bash, PowerShell, or similar
- Strong troubleshooting, analytical, and problem-solving skills
- Ability to independently prioritize and manage multiple responsibilities
- Strong written communication and documentation skills
- Ability to work flexible hours outside standard business hours as needed
Preferred Qualifications
- Associate degree in a technical field or equivalent professional experience
- AWS certifications such as Solutions Architect, SysOps Administrator, or Developer Associate
- Experience administering Linux and/or Windows operating systems
- Experience with Active Directory or similar identity management services
- Familiarity with AI-assisted engineering tools such as GitHub Copilot or ChatGPT
- Ability to quickly learn and implement new technologies
- Strong desire for continuous learning and professional growth
This role offers the opportunity to work in a collaborative engineering environment focused on modernization, automation, and operational excellence.
You will have the opportunity to:
- Work across Cloud Operations, DevOps, Terraform, Observability, and Reliability Engineering
- Gain hands-on experience supporting both AWS and Azure environments
- Contribute to infrastructure automation, CI/CD modernization, observability, and reliability initiatives
- Help improve scalability, resiliency, monitoring, deployment standards, and disaster recovery practices
- Work with modern cloud and DevOps tooling while expanding automation and platform engineering experience
- Collaborate closely with Cloud Services engineers, development teams, and stakeholders across the organization
- Leverage AI-assisted engineering tools and emerging AI-driven workflows to improve productivity and operational efficiency
- Grow technical ownership in a team culture that values curiosity, adaptability, continuous learning, and process improvement
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