• Execute migrations, GCVE validation • Architect and design advanced cloud solutions on GCP, including modernization strategies and migration of on-premises workloads to cloud environments • Define and own architecture for GKE, Anthos, and GCVE-aligned solutions, guiding hybrid and cloud-native transformation initiatives • Enforce industry best practices for cloud security, governance, data protection, backup policies, and user management across all architectures • Lead Infrastructure as Code (IaC) and automation initiatives to improve operational efficiency and consistency • Perform periodic architecture reviews and recommend enhancements for performance, scalability, and resilience • Act as a technical liaison between customers, cloud engineering teams, and vendor support to ensure seamless solution delivery • Support SMEs during critical incidents by providing deep technical expertise as needed • Document customer environments, technical frameworks, workflows, and maintain updated architectural blueprints after reviews • Deliver internal training on new cloud services, features, and use cases to strengthen team capability and cloud maturity • Drive performance monitoring, optimization, and cloud governance to ensure well-architected deployments • Provide ongoing technical leadership, establish best practices, and ensure adoption of modern architecture principles

Description At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. We are seeking a Senior Cloud Engineer with deep experience operating and managing enterprise-scale services in complex, mission-critical environments. Our priority is hiring engineers who understand how enterprise services integrate, perform, and operate together to deliver a reliable, high-quality user experience. The ideal candidate brings hands-on experience supporting enterprise infrastructure services and has played a key role in transitioning on-premises services to cloud environments, with a strong focus on performance, monitoring, resiliency, and SLA adherence. Key Responsibilities * Engineer, operate, and support enterprise-grade services in cloud and hybrid environments * Lead and support migration of on-premises services to cloud platforms, ensuring continuity, performance, and reliability * Manage and optimize service performance, availability, and scalability across multiple enterprise systems * Implement and maintain monitoring, alerting, and performance management solutions * Ensure services meet defined SLAs, SLOs, and operational requirements * Troubleshoot complex service integration and performance issues across infrastructure, identity, and user environments * Partner with infrastructure, security, and operations teams to ensure secure, compliant, and resilient service delivery * Document service architectures, operational runbooks, and support procedures * Provide senior-level technical guidance and mentoring to engineering peers Required Qualifications * Active Full Scope Polygraph (required; no exceptions) * Senior-level experience as a Cloud Engineer, Infrastructure Engineer, or Enterprise Services Engineer * Strong background supporting multiple enterprise services simultaneously in production environments * Demonstrated experience transitioning on-premises infrastructure and services into cloud environments * Deep understanding of: * Service availability and resiliency * Performance monitoring and tuning * Incident response and root cause analysis * SLA/SLO-driven operations * Experience operating in secure, highly regulated environments * Cloud & Infrastructure Focus * Azure-based enterprise environments (experience with AWS or other cloud platforms also valued) * Hybrid cloud and on-prem integration * Identity, access, and directory services * Virtual desktop and end-user computing platforms * Enterprise monitoring and observability tooling * Experience in the following technologies significantly improves alignment with our needs, a plus * Tanium * LoginVSI * Cayosoft * 1E * SL1 / Voss * Kion * Splunk * Azure Performance Monitoring * Citrix VDI * Active Directory Engineering / Entra ID Engineering * CDW is committed to being an AI-fluent organization * We're looking for people who bring curiosity, a learner's mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances- not replaces- human creativity and decision-making. You don't need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that's curious, adaptive, and ready to explore what's possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice. * About Us * CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. What makes CDW different isn't just what we do- it's how we do it. At CDW we act as one- building trust, speaking candidly, and working together to achieve more. We play to win- focusing on what matters most and delivering for our customers. And we think forward- staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That's why we think of ourselves as coworkers, not just employees- working together to solve complex challenges and deliver real impact for our customers and communities. As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what's next. Together, we deliver the full promise of what technology can do. * Together, we Make Amazing Happen. * CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.

Role Description We are sharing a specialised part-time consulting opportunity for professionals experienced in cloud storage administration, data migration, storage management, agentic workflow evaluation, and structured technical QA. This role supports current and upcoming remote consulting opportunities focused on structured cloud storage workflow review, migration journey evaluation, storage agent testing, transfer planning assessment, outcome reporting, and high-quality project execution. Selected professionals will apply their cloud storage expertise to evaluate end-to-end storage management workflows, assess agent-generated recommendations, document findings, and support accurate, practitioner-informed technical review. Key Responsibilities - Cloud Storage & Migration Workflow Evaluation - Review cloud storage scenarios involving migration options, transfer methods, storage architecture, object counts, file sizes, and enterprise storage requirements. - Evaluate migration planning outputs against practical storage administration standards, transfer constraints, time estimates, and operational needs. - Assess trade-offs between online and offline transfer methods, including interconnect considerations, cost factors, and execution feasibility. - Identify incomplete guidance, incorrect assumptions, migration risks, and expected storage workflow outcomes. - Agent Testing & User Journey Review - Test natural-language storage management workflows across discovery, planning, validation, execution, and reporting stages. - Evaluate agent-generated responses for completeness, accuracy, practical usefulness, and alignment with real storage administrator expectations. - Execute or review simulated dry-run migration journeys and identify issues that could affect reliability or successful completion. - Provide structured feedback on agent responses, user journey quality, and technical failure modes. - Reporting, Calibration & Quality Feedback - Prepare evaluation reports, issue logs, outcome comparisons, and structured feedback summaries. - Compare planned migration outcomes against actual or simulated results, including variance analysis and progress reporting. - Support scoring calibration by documenting expert findings and recommendation patterns. - Maintain accuracy, consistency, and professional judgment across submitted work. Qualifications - Experience in cloud storage administration, enterprise storage management, infrastructure engineering, cloud engineering, platform engineering, data migration, or related technical roles. - Strong understanding of cloud storage concepts, migration strategies, transfer sizing, object storage, access patterns, and operational reliability. - Familiarity with cloud storage platforms such as AWS S3, Google Cloud Storage, Azure Blob Storage, or similar systems. - Hands-on experience with data migration workflows, online or offline transfer methods, transfer planning, storage traffic simulation, or migration validation. - Ability to evaluate AI-generated technical recommendations from a practitioner's perspective. - Strong written communication skills and ability to document findings clearly. Educational Background - A degree or professional background in computer science, information technology, cloud computing, systems engineering, infrastructure engineering, cybersecurity, data engineering, or a related technical field is helpful. - Equivalent practical experience in cloud storage, storage administration, enterprise infrastructure, data migration, or technical QA is also highly relevant. Nice to Have - Experience with storage performance analysis, security auditing, storage analytics, cloud cost analysis, or storage intelligence workflows. - Familiarity with MCP, agentic AI frameworks, conversational AI tools, or human-in-the-loop evaluation workflows. - Prior experience in QA, technical evaluation, red-teaming, AI/ML system testing, or structured product testing. - Experience preparing or reviewing migration plans, transfer reports, issue logs, evaluation reports, storage architecture notes, or technical recommendations. - Strong attention to detail in infrastructure-heavy, reliability-focused, and documentation-based environments. Why This Opportunity - Apply cloud storage and migration expertise to structured remote project work. - Contribute to high-quality storage workflow evaluation, agent testing, and technical recommendation review. - Work on flexible assignments aligned with your cloud infrastructure background. - Use your storage administration judgment in a focused, detail-oriented review environment. - Remote structure with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Part-time or extended commitment depending on project availability. - Competitive rates between $50–$70 per hour depending on expertise. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. 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.

• Developing complex cloud-native serverless applications • Writing and maintaining serverless functions in Typescript and Python • Utilising Serverless technology including API management, Serverless functions, Event driven architectures, Serverless databases and document stores • Implementing a range of integration patterns, from modern SaaS APIs using GraphQL to traditional FTP based integrations • Applying DevOps principles to empower teams to manage infrastructure directly using Git • Utilising Terraform for provisioning and managing cloud resources • Leveraging Design Patterns and reference architectures to design scalable and efficient cloud infrastructure • Having a strong test driven, quality first mindset to your work • Communicate effectively with excellent written and verbal skills • Familiarity with Diagrams-as-Code for documenting infrastructure architecture • Designing solutions observing cross-cutting concerns such as observability and system security • Taking ownership of deployments in a true Devops model