Specialist Infrastructure Architect Lead

Manage on-premises infrastructure, including analysing requirements and backlogs, and possessing RedHat sysadmin knowledge. Work on cloud migration projects, including analysing requirements and backlogs, identifying migration techniques, developing migration artifacts, executing processes, and ensuring preparations for ongoing support. Research and prototype new tools and technologies to enhance cloud platform capabilities. Proactively identify innovative ways to reduce toil, and teach, coach or mentor others to improve cloud outcomes using automation. Improve reliability, scalability and efficiency by working with product engineers and site reliability engineers to ensure well-architected and thoughtfully operationalized cloud infrastructures. This includes assisting with nonfunctional requirements, such as data protection, high availability, disaster recovery, monitoring requirements and efficiency considerations in different environments. Provide subject matter expertise for all approved IaaS and PaaS services, respond promptly to escalated incidents and requests, and build reusable artifacts ready for deployment to cloud environments. Exert influence that lifts cloud engineering competency by participating in (and, where applicable, leading) organizational learning practices, such as communities of practice, dojos, hackathons and centres of excellence (COEs). Actively participate in mentoring. Practice continuous improvement and knowledge sharing (e.g., providing KB articles, training and white papers). Participate in planning and optimization activities, including capacity, reliability, cost management and performance engineering. Work closely with security specialists to design, implement and test security controls, and ensure engineering activities align to security configuration guidance. Establish logging, monitoring and observability solutions, including identification of requirements, design, implementation and operationalization. Optimize infrastructure integration in all scenarios — single cloud, multicloud and hybrid. Convey the pros and cons of cloud services and other cloud engineering topics to others at differing levels of cloud maturity and experience, and in different roles (e.g., developers and business technologists). Be forthcoming and open when the cloud is not the best solution. Work closely with third-party suppliers, both as an individual contributor and as a project lead, when required. Engage with vendor technical support as the customer lead role when appropriate. Participate/Lead problem management activities, including post-mortem incident analysis, providing technical insight, documented findings, outcomes and recommendations as part of a root cause analysis. Support resilience activities — e.g., disaster recovery (DR) testing, performance testing and tabletop planning exercises. Ensure that activities are tracked and auditable by leveraging service enablement systems, logging activity in the relevant systems of record, and following change and release processes. Promptly respond to requests for engineering assistance from technical customers as needed. Provide engineering support, present ideas and create best-practice guidance materials. Strive to meet service-level expectations. Take ownership of personal development, working with line management to identify development opportunities. Work with limited guidance, independently and/or as part of a team on complex problems, potentially requiring close collaboration with remotely based employees and third-party providers. Follow standard operating procedures, propose improvements and develop new standard operating procedures to further industrialize our approach. Advocate for simplification and workflow optimization and follow documentation standards. Experience with these cloud provider services is essential: AWS, Azure Experience with these cloud provider services is preferred: 10 DevOps-tooling such as CI/CD (e.g., Jenkins, Jira, Confluence, Azure DevOps/ADO, TeamCity, GitHub, GitLab) Infrastructure-as-code approaches, role-specific automation tools and associated programming languages Ansible, Terraform, Packer Knowledge of software development frameworks/Languages: Python Container management: Docker, Rancher, Kubernetes, EKS Virtualization platforms: VMware Operating systems: Windows and Linux including scripting experience Database technologies and caching: Postgres, Oracle, MSSQL, NoSQL, Redis, CDN, Mongo Identity and access management: Active Directory/Azure AD Monitoring tools: AWS CloudWatch, Elastic Stack (Elastic Search/Logstash/Kibana), Grafana, Loki Cloud networking Subnetting, Route Tables, Security Groups, VPC, VPC Peering, NACLS, VPN, Transit Gateways, optimizing for egress costs Cloud security key management services, encryption, other core security services/controls the organization uses Scalable architectures, including APIs, microservices and PaaS. Analysing cloud spending and optimizing resources Implementing resilience (e.g., multi-AZ, multi-region, backup and recovery tools) Cloud provider frameworks (e.g., Well-Architected) Working with architecture tools and associated artifacts