Senior MLOps Engineer

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

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Salvo Software

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

B2B • SaaS • Enterprise

Salvo Software is a global software development company headquartered in Vancouver, WA, with near-shoring capabilities that offer a blend of international pricing and U. S. standards. The company specializes in custom software solutions, providing services such as software product development, AI-enabled applications, blockchain development, IoT, speech recognition, web application development, and business automation. Salvo Software is dedicated to helping enterprises and startups develop strategic products through agile development processes and adaptable, affordable services. Their expertise includes UI/UX design, QA and testing, embedded firmware development, and cloud application development, supporting various industries with tailored solutions like e-commerce platforms, CRM systems, and educational resource platforms.

📋 Description

• Design, deploy, and operate MLOps platform infrastructure, cloud services (AWS, Azure, GCP), and LLM inference pipelines (Ollama, vLLM). • Build automated CI/CD pipelines, Infrastructure as Code, and monitoring/alerting systems for RAG applications, AI agents, and production deployments. • Manage Linux servers, networking, security endpoints, and troubleshoot production issues with AI engineering teams. • Establish department-wide MLOps/DevOps standards, best practices, and reusable infrastructure templates. • Guide AI Developers and RAG Engineers on architecture, deployment strategies, tool selection, and production readiness. • Translate feature requirements into reliable, secure, cost-effective infrastructure and maintain comprehensive system documentation. • Provision containerized workloads, Linux servers, and infrastructure using Terraform and Ansible across cloud and on-prem environments. • Manage CI/CD with GitHub Actions and Azure DevOps, observability with Prometheus and Grafana, secure networking, and GPU-enabled hardware. • Troubleshoot platform incidents, perform root cause analysis, and maintain operational resilience.

🎯 Requirements

• 5+ years of senior-level experience in DevOps/SRE/platform engineering with at least 1 year deploying ML models and LLM inference engines (Ollama, vLLM) in production. • Proficiency with Linux, Docker, Kubernetes, virtualization (Proxmox, VMware), GPU infrastructure (CUDA/NVIDIA), and major cloud platforms (AWS, Azure, GCP). • Hands-on expertise with Infrastructure as Code (Terraform, Ansible), CI/CD platforms (GitHub Actions, Azure DevOps), Bash, and Python scripting. • Solid background in core networking (DNS, TLS, firewalls, VPNs), monitoring/logging, and security/authentication (OAuth2/OIDC, API gateways, Zero Trust/SOC 2). • Familiarity with ML tooling (MLflow, Kubeflow), vector DBs, RAG/agent frameworks (MCP), workflow orchestration (Airflow/Kafka), and model optimization/quantization.

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