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.

Role Description We are looking for a highly experienced Senior Infrastructure / Platform Engineer to design, build, and operate reliable, secure, and scalable infrastructure systems. This is a senior role for someone with deep production expertise, strong opinions backed by experience, and the ability to mentor and uplift more junior engineers across the team. - Focus on delivering automated infrastructure changes. - Enable strong self-service capabilities for engineering teams. - Support both cloud and on-premise environments. - Ensure high availability, security, and performance. - Continuously adapt our platform and organizational capabilities to evolving technologies. - Share knowledge, review work, and guide more junior profiles. Qualifications - Very strong networking knowledge (all OSI layers, TLS, DNS, DHCP, routing). - Strong Linux system knowledge, including containers and troubleshooting. - Strong programming and code architecture skills. - Test-Driven Development practices and a very good understanding of Domain Driven Design. - Strong communication skills for documentation writing, customer relationships, and change management facilitation. - Baseline knowledge of security compliance frameworks (ISO 27001, SOC 2 Type 2, …). Requirements - Significant production experience on AWS using container technologies and infrastructure-as-code tooling (Terraform / Pulumi). - Solid production experience with Kubernetes in on-premise / private cloud contexts. - Production experience in release management including CI systems (e.g. GitHub Actions, Jenkins, …) and CD systems (e.g. ArgoCD, Spinnaker, …). - Production experience in monitoring, alerting and observability implementation, performance troubleshooting, and reliability engineering. - Production experience in database management (handling migrations, introducing breaking changes in data schemas without downtime, handling backup and restoration, …). - Working with AI agents. - A track record of supporting less experienced engineers. Interview Process - Screening - 30 min: A first call to align on your background, motivations, and what Fabriq can offer. - Technical interview - 90 to 120 min: A deep-dive with the Platform team on real infrastructure and engineering challenges. - Meet the Platform team: An informal exchange with your future teammates to see how we'd work together. - Meet the CEOs: A final conversation on Fabriq's vision, ambition, and culture fit.

Role Description As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in: - Coding and innovating technical designs - Crafting solutions and improving resilience - Prioritizing security, bug fixes, and features - Debugging Azure Networking for Elastic Cloud Serverless Qualifications - 10+ years in Software Engineering with product success in delivering Cloud network solutions - Experience in public cloud, Go, and managed Kubernetes services is advantageous - Success and lessons from striving for 'progress not perfection' in Platform reliability - Passion for developing solutions with inclusive communication methods - Examples of working in distributed teams or working remotely is desirable Requirements - Designed and built a SaaS product in a public cloud using Infrastructure-as-Code tooling such as Crossplane or Terraform - Built Kubernetes-at-scale infrastructure across multiple cloud providers - Written product features or functions in Golang or other programming languages - Worked with containerized services (such as Docker) - Proven results in leading and improving cross-team engineering initiatives - Experience in system administration with professional skills in Linux on distributed systems at scale - Diagnosed, designed, implemented, and created solutions with the Elastic Stack - Experienced in a self-organizing and sharing in a globally distributed team environment - Strengthened team members through coaching and mentoring Benefits - Competitive pay based on the work you do - Health coverage for you and your family in many locations - Flexible locations and schedules for many roles - Generous number of vacation days each year - Matching up to $2000 for financial donations and service - Up to 40 hours each year for volunteer projects - A minimum of 16 weeks of parental leave

Role Description We are seeking a skilled Azure Cloud Engineer to design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. In this role you will own the end-to-end cloud engineering lifecycle, including: - Architecture - Infrastructure-as-code - Automation - Security hardening - Cost optimization - Observability - Ongoing operational excellence for production workloads The ideal candidate will combine deep technical expertise across Azure services with strong DevOps engineering practices, and will partner closely with application development, security, and SRE teams to deliver cloud-native solutions that meet demanding business requirements for scalability, reliability, and compliance. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with at least three years focused on Microsoft Azure in production environments. - Strong hands-on experience with Azure core services, including compute, storage, networking, identity, and platform-as-a-service offerings. - Production-level experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates. - Solid experience designing and operating Azure Kubernetes Service (AKS) clusters at scale. - Hands-on experience with Azure DevOps or GitHub Actions for CI/CD across infrastructure and applications. - Strong scripting skills in PowerShell, Bash, and Python, with the ability to write maintainable automation code. - Deep understanding of cloud security principles, identity management, and compliance frameworks. - Experience implementing monitoring, alerting, and observability strategies across distributed workloads. - Strong troubleshooting, communication, and documentation skills. Requirements - Design and implement enterprise-grade Azure cloud architectures spanning compute, networking, storage, identity, and data services. - Develop, maintain, and continuously improve infrastructure-as-code using Terraform, Bicep, or ARM templates. - Configure and manage Azure landing zones, virtual networks, subnets, route tables, and network security groups. - Implement secure identity, access management, and governance controls using Azure Active Directory. - Architect and operate Azure Kubernetes Service (AKS) clusters. - Deploy, scale, and tune Azure data and analytics platforms. - Build and operate comprehensive CI/CD pipelines using Azure DevOps or GitHub Actions. - Design and implement robust observability practices using Azure Monitor and third-party tooling. - Drive Azure cost optimization initiatives. - Implement disaster-recovery and business-continuity strategies. - Strengthen security posture by integrating Microsoft Defender for Cloud and other security tools. - Collaborate closely with application teams to architect cloud-native solutions. - Develop automation scripts and tooling in PowerShell, Bash, and Python. - Mentor junior engineers and contribute to internal communities of practice. Benefits - Competitive base salary commensurate with experience. - Full-time, direct W2 employment with Bright Vision Technologies. - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com .