{"id":3839194,"url":"https://alion.io/job/salvo-software-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":7930,"name":"Salvo Software","domain":"salvosoftware.com","url":"https://alion.io/company/salvo-software","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0.333,"time_to_fill_p50_days":null,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Ollama","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Proxmox VE","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"vLLM","optional":false},{"name":"VMWare","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-11-05T22:04:03Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T07:19:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Salvo Software is a global technology company specializing in custom software development and advanced engineering solutions. With distributed teams across the US, LATAM, and India, we partner with clients to build high-performance, scalable systems that solve complex technical challenges. Our culture values innovation, ownership, and engineering excellence. We’re growing our AI department and are looking for a Senior MLOps Engineer to build the platform that takes our models and LLM systems reliably into production.\nRole Overview\n We are looking for a Senior MLOps Engineer to design, build, and own the infrastructure and workflows behind our machine learning and LLM-powered systems. Your core work will be creating a reliable path from experimentation to production: training and fine-tuning pipelines, model registries, automated deployment, scalable inference, and monitoring for models running in cloud, on-prem, and air-gapped environments.\nThis is a senior, hands-on role. You’ll define MLOps standards and platform architecture, make key decisions on reliability, scalability, and cost, and provide technical guidance to AI Developers and RAG Engineers on the team. You’ll work closely with engineering, product, and client stakeholders to make sure AI features are reproducible, observable, secure, and ready to scale.\nKey Responsibilities\nMLOps Platform & Engineering (core focus)\nDesign, deploy, and operate MLOps platform infrastructure, cloud services (AWS, Azure, GCP), and LLM inference pipelines (Ollama, vLLM).\nBuild automated CI/CD pipelines, IaC, and monitoring/alerting systems to support RAG applications, AI agents, and production deployments.\nManage Linux servers, networking, security endpoints, and troubleshoot production issues alongside AI engineering teams.\nTechnical Leadership\nEstablish department-wide MLOps/DevOps standards, best practices, and reusable infrastructure templates.\nPartner with AI Developers and RAG Engineers to guide architecture, deployment strategies, tool selection, and production readiness.\nTranslate feature requirements into reliable, secure, cost-effective infrastructure and maintain comprehensive system documentation.\nInfrastructure & Operations\nProvision containerized workloads, Linux servers, and infrastructure using IaC (Terraform, Ansible) across cloud and on-prem environments.\nManage CI/CD (GitHub Actions, Azure DevOps), observability tools (Prometheus, Grafana), secure networking, and GPU-enabled hardware.\nTroubleshoot platform incidents, perform root cause analysis, and maintain operational resilience.\nRequirements\n5+ 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.\nProficiency with Linux, Docker, Kubernetes, virtualization (Proxmox, VMware), GPU infrastructure (CUDA/NVIDIA), and major cloud platforms (AWS, Azure, GCP).\nHands-on expertise with Infrastructure as Code (Terraform, Ansible), CI/CD platforms (GitHub Actions, Azure DevOps), Bash, and Python scripting.\nSolid background in core networking (DNS, TLS, firewalls, VPNs), monitoring/logging, and security/authentication (OAuth2/OIDC, API gateways, Zero Trust/SOC 2).\nFamiliarity with ML tooling (MLflow, Kubeflow), vector DBs, RAG/agent frameworks (MCP), workflow orchestration (Airflow/Kafka), and model optimization/quantization.","description_format":"text","description_chars":3393,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-05T22:04:03Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:3","win:early"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/salvo-software-senior-mlops-engineer","json_url":"https://alion.io/job/salvo-software-senior-mlops-engineer.json","meta":{"generated_at":"2026-11-06T08:01:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14347,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7930},"rest":"https://alion.io/mcp/rest/get_company?id=7930"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsalvo-software-senior-mlops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsalvo-software-senior-mlops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsalvo-software-senior-mlops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/salvo-software-senior-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsalvo-software-senior-mlops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3839194}},{"tool":"search_jobs","arguments":{"company":"salvosoftware.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3839194},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}