Role Description The Client is the UK's leading fee-free mortgage broker. The role focuses on supporting the Client's ongoing IT transformation and modernizing its technology and infrastructure stack. The primary initiative involves planning, designing, documenting and executing the migration of systems from traditional datacenter hosted infrastructure into a secure, automated and cost-effective Microsoft Azure and MS365 cloud environment. Qualifications - Solid experience with the following technologies and tools (must-have): - MS Azure Expertise: Tenants and Subscriptions, Cloud Adoption Framework/ Azure Landing Zones, Azure architecture, Azure Entra ID (Enterprise applications, conditional access etc), Azure storage accounts, Azure Virtual Machines, Azure networking, and Azure performance, security and cost management. - MS365 Applications: SharePoint, Teams, OneDrive and Intune. - MS Exchange Online - On-prem Infrastructure: Building and configuration of MS Windows Servers, Active Directory domain knowledge, Hypervisor virtualization management (ideally VMWare), Backup solutions (ideally VEEAM), and Infrastructure performance monitoring. - Additional Technologies: Vulnerability Management, SIEM Technologies, PowerShell and Infrastructure As Code (ideally Terraform and Ansible). - Excellent written and verbal communication (English language). - Desirable technologies and tools: - SQL. - Networking experience (Cisco switch, firewalls). - Cisco Umbrella. - Nutanix Hyperconverged Infrastructure support. - Netapp Experience. - Knowledge of and/or certification in ITIL 4. Requirements - Enable Cloud technology adoption through strategy planning, design, and implementation. - Lead Infrastructure strategy planning alongside the IT Operations Manager to ensure systems are fit-for-purpose and meet business needs. - Act as a Subject Matter Expert on Azure and MS365 applications, and support mentoring and development of other IT colleagues. - Serve as a technical escalation point, collaborating with team members to resolve complex problems and provide root cause analysis. - Enhance automation of cloud enablement tools, such as Infrastructure As Code, and participate in their design and evolution. - Plan and implement system migrations from datacenter hosted infrastructure to the cloud. - Create and review comprehensive technical documentation, including high and low-level designs, architectural statements, and standard operating manuals. - Lead technical projects alongside project managers to define and meet critical timescales. - Design and implement cloud storage and backup solutions. - Provide third-line technical support on L&C IT infrastructure across on-prem, datacenter and cloud environments. - Monitor system performance, costs, availability and functionality and take proactive or remedial action to prevent outages. - Track asset lifecycle and participate in the replacement, retirement and decommissioning of assets. - Assist in planning Disaster Recovery and Business Continuity playbooks, carry out testing and perform remedial work. - Plan, monitor, and test system and data backups in line with IT policies. - Monitor software versions, and plan and implement system upgrades or patches. - Maintain a security-first mindset, follow best practices, and manage technologies to protect systems from internal and external malicious activities. Benefits - Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. - Empowering Growth: We foster a culture of continuous learning and professional development, providing timely and comprehensive assistance for every consultant through our dedicated Learning & Development team. - DE&I Matters: We deeply value and embrace diversity, providing equal opportunities for all individuals and fostering an inclusive work environment. - Career Development: Our corporate culture emphasizes career development, offering abundant opportunities for growth and regular interactions with our teams. - Comprehensive Benefits: We provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. - Flexible Opportunities: We prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Company Description GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences.

Role Description We are sharing a specialised full-time consulting opportunity for US-based MLOps and ML systems engineers with production experience in JAX, PyTorch, distributed training infrastructure, and custom GPU kernel development using Pallas or Triton. This role supports a high-impact generative AI initiative focused on developing and evaluating advanced ML infrastructure tasks for frontier model training. Selected engineers will: - Design technically challenging problems - Produce rigorous solutions - Assess model-generated outputs - Help establish evaluation standards across training pipelines, distributed systems, framework-level optimisation, and GPU kernel performance Qualifications - At least 2 years of dedicated professional experience in MLOps, ML infrastructure, or ML systems engineering - Production experience with JAX, PyTorch, or both at meaningful scale - Hands-on experience writing or optimising custom GPU kernels using Pallas or Triton - Strong knowledge of model-training pipelines, distributed systems, accelerators, and performance optimisation - Experience working within a recognised technology, AI research, or high-performance engineering organisation - Demonstrable professional growth and increasing technical responsibility - Strong written communication and the ability to explain complex engineering decisions clearly - Reliable availability for a full-time, 40-hour weekday schedule Requirements - A degree in computer science, machine learning, electrical engineering, applied mathematics, or a related technical field is highly relevant - Graduate-level education in machine learning systems, distributed computing, or high-performance computing may be helpful - Equivalent professional experience in production ML infrastructure may also be considered - Advanced technical work involving GPU programming, compiler systems, or large-scale model training is especially valuable Benefits - Contribute to advanced generative AI and large-scale model-training initiatives - Apply deep expertise in JAX, PyTorch, Pallas, Triton, and ML infrastructure - Work on challenging problems spanning training systems, distributed computing, and GPU optimisation - Influence the quality of technical training data used in frontier AI development - Join a full-time remote engagement with competitive hourly compensation Contract Details - Full-time W-2 contingent employment arrangement - Fully remote role available to candidates based in the United States - Expected commitment of 40 hours per week during weekdays - This engagement requires full professional availability without conflicting employment or external commitments - Competitive rates between $65–$105 per hour depending on expertise and project scope - Immediate availability is preferred - Work may include onboarding, technical calibration, and ongoing quality-review activities - Project scope and duration may be adjusted according to programme requirements and performance About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

• Set up, configure, and maintain MCP (Model Context Protocol) servers that connect AI systems to internal tools and data sources, including scoping access, managing credentials, and troubleshooting integrations • Design, provision, and support hosting environments for internally built AI applications ranging from lightweight PaaS deployments to full cloud infrastructure on AWS/GCP (VPCs, compute, containers, load balancing) depending on the app’s complexity and scale requirements • Familiarity with AI features within existing SaaS platforms (e.g., Atlassian Rovo, Slack AI, Okta AI, ChatGPT, Google Gemini) • Provision and support AI agent / application infrastructure: service accounts, API key management, permissions scoping, rate limit monitoring, and access auditing for agents operating across internal systems and cloud environments • Build and maintain CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation) to support repeatable, secure deployment of AI-hosted applications and supporting services • Maintain documentation for all AI integrations and hosted environments, including architecture diagrams, access maps, runbooks, cost/usage tracking, and troubleshooting guides • Stay current on the AI tooling and cloud ecosystem and proactively identify tools, platforms, or integrations that could benefit the IT team or the broader organization • Support the administration of UserTesting’s IT cloud infrastructure (AWS and/or GCP) and DevOps toolset across the organization as it relates to IT’s AI Infrastructure • Become a subject matter expert for AI-hosted platforms, cloud integrations, and supporting infrastructure • Monitor uptime, performance, and cost of hosted AI applications; implement alerting and observability (e.g., Datadog, CloudWatch, GCO) to catch issues before they affect users • Identify, prioritize, and address technical debt across cloud infrastructure, deployment pipelines, and integrations • Partner with other IT System Admins and Engineering/ Security teams to improve reliability, automation, documentation, and supportability of hosted environments • Act as an escalation point for complex infrastructure and hosting issues for the IT support team • Collaborate with cross-functional teams (Security, Engineering, People Ops, etc.) to improve cloud governance, security posture, and AI tool/app hosting adoption • Stakeholder management, this role will act (at times) as a project lead in some capacity. The ability to interact, demo and collaborate with non technical counterparts is critical. • Document procedures, system changes, and troubleshooting workflows.

• Design, implement, document, and maintain enterprise infrastructure solutions • Manage highly available and secure enterprise IT systems supporting mission-critical operations • Install, configure, and maintain virtualization platforms, operating systems, applications, and supporting infrastructure • Troubleshoot complex issues involving compute, networking, storage, virtualization, and enterprise applications while identifying opportunities for optimization • Develop and maintain infrastructure standards, architecture documentation, and Standard Operating Procedures (SOPs) • Plan and execute infrastructure upgrades, maintenance activities, and technology refresh initiatives • Provide technical leadership and strategic guidance to engineering teams and senior management • Conduct technical assessments and architecture reviews to validate designs and implementation approaches • Coordinate and implement environment changes through established Request for Change (RFC) processes • Collaborate with cybersecurity teams to obtain and maintain system accreditation packages, including security checklists, STIG compliance, diagrams, and required documentation • Participate in cybersecurity activities such as vulnerability assessments, environment scans, penetration testing, and security audits • Mentor junior engineers and promote infrastructure best practices across the organization • Participate in technical meetings with government customers, civilian personnel, and contractor teams