[Remote] Cloud & DevOps Engineer
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