New 
Senior Developer
 Tata Consultancy Services | |
$110,000 - $120,000
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 United States, North Carolina, Charlotte | |
 Oct 28, 2026 | |
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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 optimize CI/CD pipelines for application and AI/ML model deployment. * Manage cloud infrastructure on AWS, Azure, or GCP, 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 optimization, 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 GCP. * 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 optimization 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 Salary Range: $110,000-$120,000 a year
Location
Charlotte, NC
Function
TECHNOLOGY
Role
Analyst
ID
437417
Skills
AWS | DevOps
Salary Range
$110,000 - $120,000 Desired Candidate Profile
Qualifications BACHELOR OF COMPUTER SCIENCE | |