AI Platform Engineer

🔥 2 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 15%

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Modus Create

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Modus Create is a digital transformation consulting firm dedicated to helping clients build competitive advantage through digital innovation. Our global team of strategists, designers, and technologists has helped the world’s biggest brands deliver powerful experiences. We specialize in strategic consulting, full lifecycle product development, platform modernization, and digital operations.

📋 Description

• Design, build, and operate secure, scalable cloud platforms • Work embedded within cross-functional product teams with developers, DevOps engineers, security teams, and product leaders • Design and implement cloud infrastructure across development, staging, and production • Deploy, operate, and secure AI infrastructure including LLM serving, vector stores, and agentic systems • Integrate AI-assisted development tools safely into platforms • Advise on AI deployment patterns and operational best practices • Build and maintain deployment pipelines, CI/CD automation, and infrastructure-as-code • Implement observability systems including metrics, logging, and tracing • Manage cloud infrastructure provisioning, configuration, security, reliability, cost, and compliance • Monitor and optimize cloud resources for cost and performance • Troubleshoot platform issues, participate in incident response, and drive improvements • Create runbooks, architecture documentation, and troubleshooting guides • Review infrastructure changes and contribute to architecture standards • Tune systems for latency, throughput, and resource efficiency • Collaborate with security, product, development, DevOps, and other teams • Document solutions, share learnings, pair program, and participate in code and architecture reviews

🎯 Requirements

• 3–8 years hands-on platform, infrastructure, DevOps, or cloud engineering • Familiarity with LLM APIs, vector databases, or AI model serving • Familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor) • Understanding of AI security: prompt injection, data governance, model monitoring, output validation • Strong proficiency supporting and building in one cloud platform (AWS, Azure, GCP) • Deep experience with infrastructure-as-code (Terraform, CloudFormation, Pulumi, etc.) • Solid understanding of Kubernetes, Docker, and CI/CD pipeline design • Hands-on deployment automation, observability, and incident response • Ability to troubleshoot distributed systems and production issues; comfort with on-call • Clear communication; able to explain technical tradeoffs to technical and non-technical audiences • Scripting proficiency (Python, Bash, Go); Linux/Unix administration fundamentals • Version control (Git), collaboration workflows, and infrastructure automation • Availability for regular working sessions and discovery workshops with client teams • Overlap with client business hours daily is expected • Reliable high-speed internet • Ability to work independently while collaborating with client and Modus leaders

🏖️ Benefits

• Fully remote work • Collaborative, innovative environment • Opportunities to advise leadership on platform strategy and direction • Opportunities to deepen technical expertise and take on greater technical responsibility • Global team collaboration • Work with modern cloud platforms, Kubernetes, infrastructure-as-code, and observability • Direct impact on platform reliability, developer velocity, and engineering efficiency

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