• Desarrollar hojas de ruta de implementación basadas en decisiones estratégicas • Implementar soluciones diseñadas • Acompañar a los clientes en su operación y mejora de sus entornos Cloud • Ayudar en la resolución de problemas avanzada

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. As a Cloud Support Engineer, you will provide best-in-class customer support for all AWS Services, mirroring the way AWS Support interacts with customer environments, being the expert on the AWS services and guiding our customers on their implementations and troubleshooting. You will work to resolve cases in-house or follow cases through to AWS, providing an excellent customer experience and preventing delays in resolution of AWS support cases. Cloud Support Engineers work four, ten-hour shifts a week or five, eight-hour shifts. This position is 100% remote and must be based in Mexico. Responsibilities - Guide Mission’s customers through complex issues and troubleshoot AWS resources through Mission’s support ticket platform - Analyze customer-facing cases related to AWS Services and leverage AWS expertise to assist customers through troubleshooting, changing, or setting up AWS resources - Provide front-line AWS support and use judgment to resolve cases in house, where possible, to provide an excellent customer experience - Advocate for customers when cases are escalated to AWS and help expedite and facilitate a positive resolution of the case - Lead root cause analysis for recurring customer issues, joining calls with customers on a frequent basis to assist in live troubleshooting and explanations of AWS services to expedite resolution of customer-submitted cases - Collaborate with internal teams, escalate issues, and leverage available resources to deliver a positive customer experience - Work a shift schedule to provide 24x7 support - Maintain full knowledge of current AWS services - Act as a trusted AWS technical advisor, guiding customers on best practices, cost and security in every customer interaction Requirements - Ability to manage AWS cloud workloads, especially EC2, RDS, VPC, and CloudWatch - Experience communicating directly with customers over phone and chat in English - Ability to be adaptable and think critically in customer situations - Knowledge of infrastructure and networking in AWS Services, with deep understanding of EC2 and VPC - Understanding of networks and website management, including IT infrastructure such as DNS, VPNs, SSL, Elastic Load Balancers, and CloudFront distributions - Understanding of web server applications and the administration of web application environments - Knowledge of technical customer support processes that include planning, coordinating, problem resolution, and documentation - Ability to work a flexible schedule, including nights, weekends, and holidays - Experience working as System Administrator (Linux and Windows) preferred - AWS SysOps Administrator - Associate Certification (required within 90 days of hire) 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.

We are seeking a highly skilled Cloud Engineer & Infrastructure Security professional to design, build, and secure our hybrid infrastructure (cloud + on-prem). The ideal candidate will have deep experience with Kubernetes, Terraform, Helm, and a strong background in infrastructure security, DevSecOps, and on-prem deployments. This role is critical for architecting scalable, secure, and observable infrastructure supporting mission-critical applications and LLM (Large Language Model) workloads. Your Responsibilities: - Infrastructure & Cloud Management - Deploy and manage Kubernetes clusters (cloud & on-prem) using Terraform and Helm. - Design secure network topology (VPCs, VPNs, firewalls). - Infrastructure Security & Zero Trust - Implement zero trust models, IAM, and least-privilege access. - Enforce security policies, micro-segmentation, and secrets management. - DevSecOps & CI/CD Security - Integrate security scanning, SBOM, and policy-as-code into pipelines. - Automate compliance and security checks during build and deploy. - LLM & Hybrid Deployments - Build and maintain infrastructure for LLM workloads (vLLM, KServe). - Support hybrid cloud and on-prem deployments ensuring consistency and security. - Monitoring & Observability - Implement monitoring, logging, and alerting using Grafana, Azure Monitor, Prometheus. - Maintain dashboards, SLIs/SLOs, and performance metrics. - Linux & Automation - Harden Linux systems, automate routine tasks, and support incident response. - Develop scripts and tools to streamline operations. - Collaboration & Strategy - Partner with engineering, security, and operations teams. - Mentor teams on cloud best practices and emerging technologies. What we look for: - Strong experience with Kubernetes, including cluster provisioning, scaling, and security. - Proficient in Terraform and Helm for infrastructure-as-code and deployment automation. - Expertise in infrastructure security, zero trust models, and IAM best practices. - Hands-on experience with DevSecOps: security scanning, SBOM generation, secrets management, and policy-as-code. - Solid understanding of cloud networking: VPC design, VPN, and firewall configuration. - Experience with hybrid or on-prem deployments alongside cloud environments. - Skilled in Linux administration, scripting, and automation for operational efficiency. - Familiarity with monitoring and observability tools (Azure Monitor, Grafana, Prometheus). - Experience building and managing infrastructure for LLM or AI workloads (vLLM, KServe). - Nice - to - have: - Cloud and security certifications (e.g., CKA/CKAD, Terraform Associate, CISSP). - Experience with GitOps workflows (Argo CD, Flux) and CI/CD security pipelines. - Knowledge of policy frameworks (OPA, Gatekeeper, Kyverno) and workload identity systems (SPIFFE/SPIRE). - Familiarity with GPU/accelerator-based infrastructure for ML/LLM workloads. - Background in SRE practices, including SLO/SLI design and incident response. - Contributions to open-source cloud, DevSecOps, or LLM infrastructure projects. What we offer: - Competitive salary and performance-based bonuses. - Fully remote, flexible work environment. - Modern laptop and hardware provided by us. - Specialized training in AI, automation, and digital productivity tools. - Global exposure—collaborate with top-tier founders and fast-growing startups. - Continuous learning and career growth opportunities in an international environment.

• Design, develop, and maintain cloud-based applications and services supporting healthcare systems and Facets migration efforts • Perform full software development lifecycle activities, including requirements analysis, design, development, testing, and deployment • Develop and maintain APIs for integration with enterprise data sources and third-party systems • Analyze business and technical requirements to deliver scalable and efficient solutions • Identify gaps in existing systems and recommend improvements or enhancements • Assist in defining and evolving product and system architecture within a cloud environment • Implement security best practices, including threat prevention mechanisms and secure coding standards • Participate in code reviews to ensure quality, performance, and security compliance • Collaborate with cross-functional teams including application development, infrastructure, and business stakeholders • Support system integration and migration activities related to the Facets platform