We at NJ TECH INC are focused on hiring highly skilled professionals who are excited by the opportunity to make a true impact on their careers as well as on our clients' business. We power our clients success and drive our consultants career growth.
We are seeking an experienced and outstanding Devops Engineer with Ansible, Terraform, Kubernetes & Artificial Intelligence for one of our esteemed clients.
Role: DevOps Engineer with Ansible, Terraform, Kubernetes & Artificial Intelligence Location: Dallas, TX / Tampa, FL / Jersey City, NJ Work Mode: Hybrid / Onsite Employment Type: Long-Term Contract
Job Summary
We are seeking an experienced DevOps Engineer with strong expertise in Ansible, Terraform, Kubernetes, and Artificial Intelligence to design, automate, deploy, and manage scalable infrastructure and application environments. The ideal candidate will have strong hands-on experience with cloud infrastructure, Infrastructure as Code, container orchestration, CI/CD automation, and emerging AI technologies.
Key Responsibilities
Design, implement, and maintain scalable and highly available cloud infrastructure.
Develop and maintain Terraform configurations and Infrastructure as Code solutions.
Create and manage Ansible playbooks, roles, and automation workflows for infrastructure and application deployments.
Deploy, configure, and manage Kubernetes clusters and containerized applications.
Build and maintain CI/CD pipelines for automated application and infrastructure deployments.
Automate infrastructure provisioning, configuration management, patching, and operational processes.
Work with development and engineering teams to improve deployment reliability and operational efficiency.
Implement monitoring, logging, alerting, and troubleshooting solutions across cloud and Kubernetes environments.
Integrate security and compliance practices into DevOps processes and automation pipelines.
Support AI/ML and Generative AI workloads by building and automating the required cloud and container infrastructure.
Work with AI services, APIs, and platforms to integrate AI capabilities into enterprise applications and DevOps workflows.
Evaluate and implement automation opportunities using AI and intelligent infrastructure management.
Troubleshoot complex infrastructure, deployment, networking, and application issues.
Participate in architecture discussions, code reviews, documentation, and continuous improvement initiatives.
Required Skills
Strong hands-on experience with DevOps and Cloud Engineering.
Advanced experience with Ansible for configuration management and automation.
Strong experience with Terraform and Infrastructure as Code.
Hands-on experience with Kubernetes and containerized applications.
Experience with Docker and Kubernetes deployment, scaling, networking, and troubleshooting.
Strong experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
Experience with AWS, Azure, or Google Cloud Platform cloud platforms.
Strong scripting experience with Python, Bash, or Shell.
Experience with Git and modern source-control practices.
Knowledge of Kubernetes security, RBAC, networking, ingress, secrets, and service management.
Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or CloudWatch.
Hands-on experience with Artificial Intelligence, Generative AI, Machine Learning platforms, or AI-powered automation.
Strong troubleshooting, analytical, and communication skills.
NJ TECH INC is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, We cannot sponsor any visa at this time
NJ TECH INC, is a globally managed IT service, consulting and Business solutions partner. Our "High-Performance Business" strategy builds up our expertise in technology and consulting. Our consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value for customers. Come, transform your career with us and be a part of our high-performing team
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