Devops Developer

Title

Devops Developer

Duration

Full Time permanent

Location

Charlotte, NC / Pennington, NJ / Plano, TX

Salary Range

$110,000-$120,000 a year + Benefits

Job Description

Must Have Technical/Functional Skills

Primary Skill

Senior DevOps Engineer with strong expertise in containerization, cloud-native infrastructure, automation, and AI/ML workload deployment.

Experience

Extensive experience delivering senior-level DevOps, cloud infrastructure, SRE, or platform engineering solutions.

Roles & Responsibilities

• Bachelor's or master's degree in computer science or a related field, or equivalent relevant professional experience.
• Design, build, and maintain scalable DevOps infrastructure across cloud and hybrid environments. Implement containerization solutions using Docker and orchestration platforms such as Kubernetes, including Helm and Kustomize.
• Design, automate, and Eligible to workimize CI/CD pipelines for application and AI/ML model deployment.
• Manage cloud infrastructure on AWS, Azure, or Eligible to workP, including networking, security, compute, and storage.
• Implement Infrastructure as Code using Terraform, Ansible, or equivalent tools.
• Deploy, monitor, and scale AI/ML applications, model-serving APIs, and inference workloads using containerized environments.
• Implement MLOps workflows for model versioning, artifact management, model deployment, and monitoring.
• Support AI/LLM-based applications, including RAG and model-serving infrastructure, where applicable.
• Leverage AI-powered DevOps tools for pipeline Eligible to workimization, incident analysis, root-cause investigation, and operational automation.
• Implement observability using Prometheus, Grafana, ELK/EFK, OpenTelemetry, or equivalent platforms.
• Establish security best practices, including container image scanning, secrets management, RBAC, vulnerability management, and DevSecOps controls.
• Troubleshoot complex production issues related to containers, Kubernetes, networking, deployments, and performance.
• Mentor engineers, define DevOps standards, and collaborate with development, security, data engineering, and AI/ML teams.

Required Skills

• Extensive experience in DevOps, cloud infrastructure, SRE, or platform engineering.
• Strong hands-on expertise in Docker, Kubernetes, container orchestration, and microservices deployment.
• Proficiency in CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps.
• Strong experience with at least one major cloud platform: AWS, Azure, or Eligible to workP.
• Hands-on experience with Terraform, Ansible, and Infrastructure as Code.
• Strong scripting and automation skills using Python, Bash, or PowerShell.
• Experience with Git-based workflows, artifact repositories, and container registries.
• Understanding of networking, Linux administration, load balancing, DNS, TLS, and distributed systems.
• Experience implementing monitoring, logging, alerting, high availability, disaster recovery, and production support.
• Knowledge of DevSecOps practices and cloud/container security.
• Experience deploying AI/ML workloads and model-serving services in containerized environments.
• Familiarity with MLOps tools such as MLflow, Kubeflow, or KServe.
• Understanding of LLM deployment, model inference, GPU-based workloads, and resource Eligible to workimization is an advantage.
• Exposure to AI-assisted development and operations tools for automation, troubleshooting, and incident management.
• Knowledge of model lifecycle management, model monitoring, and scalable AI service deployment