DevOps/ML Engineer x5
RESPONSIBILITIES
Design implement and maintain CI/CD pipelines (GitHub Actions Jenkins or equivalent)
Manage cloud infrastructure on AWS / Azure / GCP using Terraform or CloudFormation (IaC)
Support containerization and orchestration via Docker and Kubernetes
Monitor system health respond to incidents and implement SLO/SLA tracking
Collaborate with development teams to optimize deployment workflows
Implement security best practices (secrets management IAM network policies)
Participate in on-call rotation as needed
REQUIRED QUALIFICATIONS
5 years of DevOps / Platform Engineering experience
Strong proficiency with cloud platforms (AWS preferred)
Experience with Kubernetes (EKS GKE or AKS)
Proficiency with Terraform or equivalent IaC tooling
Solid understanding of CI/CD principles and GitOps workflows
Experience with observability tooling (Datadog Grafana Prometheus or equivalent)
Strong scripting skills (Bash TypeScript or Python)
PREFERRED QUALIFICATIONS
Experience with AI/ML infrastructure (GPU workloads model serving)
Familiarity with Nx monorepo or similar large-scale build systems
Experience with LLM API integrations or AI platform tooling
AWS certifications (Solutions Architect DevOps Engineer)
TECH STACK HIGHLIGHTS
AWS Kubernetes Terraform Docker GitHub Actions TypeScript or Python Bash
Datadog / Grafana GitOps IaC LLM / AI Platform
DevOps/ML Engineer x5 RESPONSIBILITIES Design implement and maintain CI/CD pipelines (GitHub Actions Jenkins or equivalent) Manage cloud infrastructure on AWS / Azure / GCP using Terraform or CloudFormation (IaC) Support containerization and orchestration via Docker and Kubernetes Monitor system ...
DevOps/ML Engineer x5
RESPONSIBILITIES
Design implement and maintain CI/CD pipelines (GitHub Actions Jenkins or equivalent)
Manage cloud infrastructure on AWS / Azure / GCP using Terraform or CloudFormation (IaC)
Support containerization and orchestration via Docker and Kubernetes
Monitor system health respond to incidents and implement SLO/SLA tracking
Collaborate with development teams to optimize deployment workflows
Implement security best practices (secrets management IAM network policies)
Participate in on-call rotation as needed
REQUIRED QUALIFICATIONS
5 years of DevOps / Platform Engineering experience
Strong proficiency with cloud platforms (AWS preferred)
Experience with Kubernetes (EKS GKE or AKS)
Proficiency with Terraform or equivalent IaC tooling
Solid understanding of CI/CD principles and GitOps workflows
Experience with observability tooling (Datadog Grafana Prometheus or equivalent)
Strong scripting skills (Bash TypeScript or Python)
PREFERRED QUALIFICATIONS
Experience with AI/ML infrastructure (GPU workloads model serving)
Familiarity with Nx monorepo or similar large-scale build systems
Experience with LLM API integrations or AI platform tooling
AWS certifications (Solutions Architect DevOps Engineer)
TECH STACK HIGHLIGHTS
AWS Kubernetes Terraform Docker GitHub Actions TypeScript or Python Bash
Datadog / Grafana GitOps IaC LLM / AI Platform
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