
51 - 200 employees
Founded 2018
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Marvik is a technology consultancy that designs, builds, and deploys production-ready artificial intelligence solutions for enterprise customers. They offer end-to-end AI services including strategy and opportunity discovery, data engineering, model development (agents, LLMs, generative AI, computer vision, predictive analytics), robotics and automation, and on-demand senior AI talent and leadership (fractional CAIO). Marvik focuses on delivering scalable AI that drives business impact across industries like retail, e-commerce, logistics, fintech, manufacturing, healthcare, energy, and government.
🕒 September 23
🌐 Mexico, Peru, +3 more countries – Remote
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
👻 Ghost score 11%
Where this job comes from
Posted on Marvik's careers page, not through a job board
First seen by Remote Rocketship September 23
Still open on Marvik's site. Checked 11 hours ago.

51 - 200 employees
Founded 2018
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Marvik is a technology consultancy that designs, builds, and deploys production-ready artificial intelligence solutions for enterprise customers. They offer end-to-end AI services including strategy and opportunity discovery, data engineering, model development (agents, LLMs, generative AI, computer vision, predictive analytics), robotics and automation, and on-demand senior AI talent and leadership (fractional CAIO). Marvik focuses on delivering scalable AI that drives business impact across industries like retail, e-commerce, logistics, fintech, manufacturing, healthcare, energy, and government.
• Drive operational excellence • Implement robust Infrastructure as Code (IaC) • Manage cloud-native environments powering AI/ML products • Design and maintain CI/CD pipelines • Orchestrate Kubernetes deployments, scaling, and networking • Monitor systems, logging, and performance • Collaborate cross-functionally on strategic initiatives
• Professional experience in cloud infrastructure management using AWS, Azure, or GCP • Hands-on experience with Kubernetes orchestration, including deployment, scaling, and networking • Strong practical knowledge of Infrastructure as Code tools, particularly Terraform • Proven experience designing and maintaining CI/CD pipelines • Solid understanding of system monitoring, logging, and performance tuning • Advanced English • Excellent communication skills for cross-functional collaboration • Nice to have: Experience optimizing GPU resource allocation or using the Nvidia GPU Operator • Nice to have: Experience with GitOps methodologies such as ArgoCD • Nice to have: Knowledge of networking and security best practices in cloud-native environments, including service mesh and zero-trust principles • Nice to have: Experience integrating DevOps practices with AI/ML-specific workflows
• Flexible environment • Continuous learning opportunities • Internal tech talks • Hands-on training • Opportunity to collaborate on strategic initiatives • Disability employment framework under Law 19.691
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