• Conduct comprehensive audits of infrastructure, deployment processes, incident patterns, and on-call burden • Identify foundational issues causing operational pain: fragile systems, deployment friction, poor observability, and architectural weaknesses • Establish baseline metrics for system health and operational efficiency • Prioritize improvements systematically based on impact to on-call burden and reliability • Design and implement solutions that address the root causes of incidents • Eliminate single points of failure in critical paths • Implement patterns for graceful degradation and rapid recovery • Build comprehensive observability, logging, metrics, and tracing infrastructure • Identify and automate repetitive manual work that burdens operational staff • Establish organizational standards and expectations for reliability • Design and maintain runbooks, playbooks, and incident response processes • Create feedback loops from incidents to systemic improvements • Support CI/CD pipelines that enable safe, frequent deployments • Develop operational tooling (dashboards, alerts, automation) • Reduce friction in how engineers interact with infrastructure and deploy code • Scale infrastructure responsibly as the organization grows • Optimize platform reliability, performance, and cost through capacity planning, workload tuning, and architectural tradeoffs • Own the technical strategy and roadmap for infrastructure, reliability, and operational posture • Mentor engineers across the organization on operational thinking and reliability engineering • Lead architecture reviews and establish technical standards • Build organizational practices and knowledge that outlast any single engineer

• Solution Design & Development: Design, develop, and deploy custom applications and integrations using Microsoft Dynamics 365 and Power Platform tools • Customization & Configuration: Customize Dynamics 365 modules (Sales, Service, Marketing, etc.) and build Power Apps/Power Automate workflows • Integration: Integrate Microsoft Dynamics 365 with other enterprise systems using web services, APIs, and connectors • Data Analysis & Reporting: Leverage Power BI to create dashboards, reports, and data visualizations • Collaboration with Stakeholders: Work with business analysts, project managers, and team members • Quality Assurance & Testing: Ensure the quality and performance of applications by performing testing • Coding and Testing: Write and deploy code to ensure applications meet quality standards • Best Practices & Documentation: Develop and maintain technical documentation • Data Management: Oversee data migration, integration, and data quality assurance processes • Project Management: Participate in project planning and delivery • Mentorship/Training: Mentor fellow developers on Dynamics related issues and provide support

Role Description We are seeking a highly experienced Senior Cloud Security & Platform Engineering Lead to lead the design, implementation, and governance of secure and scalable cloud-native platforms across enterprise environments. The ideal candidate should have strong expertise in cloud security, platform engineering, Kubernetes, Zero Trust architecture, and software supply chain security. Qualifications - 10+ years of experience in Cloud Security, Platform Engineering, DevSecOps, or Infrastructure Security - Deep expertise in AWS, Azure, and GCP - Strong hands-on experience with Kubernetes, containers, and cloud-native infrastructure - Experience implementing: - SPIFFE / SPIRE enterprise federation - In-Toto pipeline enforcement - Tekton Chains production attestation - OPA / Gatekeeper governance platforms - eBPF runtime detection engineering - Strong understanding of Zero Trust Architecture and Cryptographic Workload Identity - Experience implementing Software Supply Chain Security frameworks (SLSA, Provenance, Attestation) - Expertise in Infrastructure-as-Code and Policy-as-Code - Strong programming/scripting experience in Go, Python, Bash, Terraform, YAML - Experience leading enterprise cloud modernization initiatives Requirements - AWS / Azure / GCP - Kubernetes - SPIFFE / SPIRE - Tekton Chains - In-Toto - SLSA - eBPF - OPA / Gatekeeper - Zero Trust - Terraform - DevSecOps - Cloud Security - Platform Engineering Benefits - All your information will be kept confidential according to EEO guidelines.

Role Description We are partnering with a digital transformation and AI-enabled learning business seeking a highly technical Platform & Infrastructure Lead to support the design, scalability, and operational performance of modern AI-enabled platforms and technical ecosystems. This role requires genuine hands-on infrastructure and platform experience, with a strong understanding of modern technical environments, scalability, integration, operational resilience, and AI-enabled systems. Initially, this will begin as a freelance / contract engagement with the potential to evolve into a longer-term role as the wider programme grows. You will take ownership of platform and infrastructure considerations across a growing AI-enabled programme, helping ensure systems, integrations, environments, and technical operations are scalable, secure, reliable, and fit for future growth. The successful candidate will be highly practical, technically credible, and comfortable operating across infrastructure, cloud environments, systems architecture, operational workflows, and platform optimisation. Key Responsibilities - Lead technical platform and infrastructure planning across AI-enabled systems - Support platform scalability, reliability, and operational performance - Advise on cloud infrastructure, integrations, and technical environments - Collaborate with technical and operational stakeholders to define platform requirements - Support infrastructure-related decision-making across delivery and implementation - Evaluate technical risks, dependencies, and scalability considerations - Help establish operational best practices for platform management and resilience - Contribute to system optimisation, automation, and infrastructure improvements - Support troubleshooting, issue resolution, and technical problem-solving where required - Work closely with cross-functional teams across product, operations, and delivery Qualifications - Strong hands-on infrastructure and platform engineering experience - Experience working within modern cloud-based technical environments - Exposure to AI-enabled products, systems, or workflows - Strong understanding of scalability, integrations, system reliability, and operational resilience - Experience supporting complex technical ecosystems or platforms - Ability to operate in fast-paced and evolving environments - Strong troubleshooting and technical problem-solving capability - Excellent stakeholder communication and collaboration skills Essential Experience - Experience supporting AI-enabled learning, knowledge, or digital transformation platforms - Exposure to automation, DevOps, or platform optimisation initiatives - Experience working within consultancy, freelance, or transformation programmes - Familiarity with enterprise platform environments and integrations Benefits - Flexible remote working environment - Opportunity to grow into greater project ownership - Exposure to multiple projects and delivery teams - Collaborative, fast-paced environment with strong development potential Contract Details - Freelance / contract engagement - Approx. 160 hours per month - UK time zone alignment preferred - Potential for extension or longer-term opportunity Diversity & Inclusion FYXER recognises the benefits of a diverse workforce and strives to be an inclusive organisation. We are committed to treating everyone with dignity and respect regardless of race, culture, gender, disability, age, sexual orientation, religion or belief and we promote diversity of thought.