Note: The job is a remote job and is open to candidates in USA. 3LC.AI is a company focused on enhancing AI model training through a comprehensive platform for data preparation and optimization. They are seeking a Cloud & DevOps Engineer to take ownership of their multi-cloud infrastructure, design deployment pipelines, and ensure reliability and observability in their services.

Responsibilities

• Own Multi-Cloud Infrastructure
• Design, build, and operate 3LC's infrastructure across AWS, Azure, and Google Cloud — networking, compute, storage, identity, and cost
• Define infrastructure as code with Terraform, and manage configuration with Puppet, so environments are reproducible across all three clouds
• Architect for security, reliability, and the realities of deploying into customers' own cloud accounts
• Create and Manage Build and Deployment Pipelines
• Own CI/CD end to end — primarily on Azure DevOps — for build, test, packaging, and release
• Containerize and orchestrate our services with Docker and Kubernetes, packaged and released with Helm
• Automate everything that should be automated, using Python, YAML, and Git-based workflows
• Land 3LC on Every Marketplace
• Create and maintain 3LC's listings on the AWS, Azure, and Google Cloud marketplaces — packaging, metering, entitlements, and updates
• Work with product and go-to-market so each cloud's procurement path is smooth for customers
• Keep Us Reliable and Observable
• Stand up monitoring, logging, and alerting so we catch problems before customers do
• Own incident response and post-incident learning (no on-call rotation today)
• Drive down toil — make the slow, manual, and fragile parts of our deployments fast and boring

Skills

• 5+ years in DevOps, cloud infrastructure, SRE, or platform engineering
• Strong, hands-on proficiency in at least one of the three major clouds — AWS, Azure, or Google Cloud — and working familiarity with the other two
• Deep experience with Kubernetes and Docker in production, including Helm-based packaging and releases
• Infrastructure as code with Terraform, and configuration management with Puppet
• CI/CD pipeline ownership, with hands-on Azure DevOps experience
• Strong scripting and automation in Python, comfortable with YAML and Git day to day
• A security-first mindset and care for reliability, cost, and maintainability
• Experience publishing and maintaining cloud marketplace listings (AWS, Azure, or GCP)
• Experience deploying software into customers' own cloud environments (BYOC / on-prem-like delivery)
• Relevant cloud certifications (e.g., AWS / Azure / GCP professional-level)
• Experience with AWS Sagemaker, Azure ML, Google Vertex
• Background in AI/ML infrastructure, GPU workloads, or data-intensive systems
• Familiarity with additional IaC/automation tooling (Ansible, Pulumi, GitHub Actions, ArgoCD, etc.)

Benefits

• Health, dental, and vision insurance.
• 401(k) retirement plan.
• Paid time off (25 days / 5 weeks) plus company holidays.
• Equity / stock options

Company Overview