DevOps Engineer
Jobs for Humanity Open · verified Oct 24, 2026 At a glance
Mid-level DevOps & Release role at Jobs for Humanity. Remote, Lebanon · full-time.
Pay not stated DevOps Engineer salary
devopsroles summary, based on the employer's posting.
What you'll do
- Build and run cloud environments, then automate repeatable setup with infrastructure-as-code
- Create CI/CD pipelines that make deployments automated, quick and safe
- Containerize services and add orchestration as the system expands
- Track system health through monitoring, logs, alerts and traces across the stack
- Control AI workload cost, speed and reliability, while setting up security, recovery and incident practices
What you bring
- At least four years in DevOps, SRE or infrastructure engineering
- Hands-on work with a major cloud provider and infrastructure-as-code tools
- Experience with containers, orchestration and CI/CD pipelines
- You can script in Bash, Python or Go and have implemented monitoring and observability tools
- You have managed secrets and access, ideally alongside AI/ML workloads or high-volume API costs
Who this fits
This mid-level role suits a DevOps engineer who can establish cloud infrastructure and deployment practices for a pilot. The position is based in Beirut and listed as remote.
From the employer
About the Role
We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond.
What You'll Do
- Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure)
- Build and maintain CI/CD pipelines for fast, safe, automated deployments
- Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments
- Containerize and orchestrate services (Docker, Kubernetes) as the system grows
- Set up observability: monitoring, logging, alerting, and tracing across the stack
- Manage and optimize the cost, latency, and reliability of LLM and AI workloads
- Own security, secrets management, and access controls across environments
- Establish backup, disaster-recovery, and incident-response practices for the pilot
- 4+ years of DevOps, SRE, or infrastructure engineering experience
- Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)
- Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)
- Experience with containerization and orchestration (Docker, Kubernetes)
- Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)
- Strong scripting skills (Bash, Python, or Go)
- Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)
- Security-first mindset and experience with secrets and access management
- Experience managing infrastructure for AI/ML or LLM-heavy workloads
- Familiarity with cost optimization for high-throughput API usage
- Experience with GPU infrastructure or inference serving
- Early-stage experience standing up infrastructure from scratch
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