DevOps Engineer (AI Platform)

Anveta Inc
Fort Mill, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Fort Mill, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Bash
Cloud Computing
Cloud Computing Security
Cloud Database
Cloud Engineering
Configuration Management
Continuous Integration
DevOps
Disaster Recovery
DNS
Github
Identity and Access Management
Python
Linux System Administration
Machine Learning
Ansible
Prometheus
Azure
Software Deployment
Software Engineering
AI Infrastructure
Datadog
Scripting (Bash/Python/Go/Ruby)
Transport Layer Security
Load Balancing
Cloud Platform System
Autoscaling
System Availability
Delivery Pipeline
Large Language Models
Grafana
Kubernetes Helm Charts
Generative AI
Infrastructure as Code (IaC)
GIT
Containerization
Gitlab-ci
Git Flow
Kubernetes
Infrastructure Automation Frameworks
Information Technology
HuggingFace
Machine Learning Operations
Route53
Virtual Agents
Cloudwatch
Terraform
Splunk
Software Version Control
Serverless Computing
Docker
Jenkins
Vulnerability Analysis

Job description

We are seeking a highly skilled Senior DevOps Engineer to join our engineering team in Fort Mill, SC. This is a hands-on role requiring deep expertise in AWS, Kubernetes, Terraform, Ansible, CI/CD, Infrastructure as Code (IaC), and cloud automation.

The ideal candidate will also have exposure to AI/ML infrastructure and experience supporting Generative AI or Agentic AI applications in production.

You will work closely with Software Engineering, Platform Engineering, AI/ML teams, and Cloud Architects to build scalable, secure, and highly available cloud infrastructure while driving automation and DevOps best practices., Cloud Infrastructure & Automation

  • Design, implement, and maintain highly available cloud infrastructure on AWS.
  • Build and manage Infrastructure as Code (IaC) using Terraform.
  • Automate infrastructure provisioning, configuration management, and deployments using Ansible.
  • Manage cloud networking, IAM, VPCs, Load Balancers, Auto Scaling Groups, Route53, S3, EKS, EC2, RDS, Lambda, CloudWatch, and related AWS services.
  • Optimize cloud environments for scalability, reliability, performance, and cost.

Kubernetes & Containerization

  • Deploy and manage containerized applications using Docker and Kubernetes (EKS preferred).
  • Configure Kubernetes deployments, services, ingress controllers, namespaces, ConfigMaps, Secrets, Helm Charts, and autoscaling.
  • Monitor cluster health and troubleshoot production issues.
  • Ensure high availability and disaster recovery strategies.

CI/CD & DevOps

  • Design and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Automate application deployments across development, QA, staging, and production environments.
  • Integrate security scanning, testing, and compliance into deployment pipelines.
  • Support blue-green deployments, canary releases, and rolling deployments.

AI/ML Platform Support

  • Support infrastructure for Generative AI and Agentic AI applications.
  • Deploy AI workloads using Kubernetes and cloud-native services.
  • Collaborate with AI/ML engineers to optimize GPU-enabled infrastructure.
  • Support AI model deployment, inference services, and scalable AI platforms.
  • Work with vector databases, AI APIs, or LLM-based applications (preferred).

Monitoring & Production Support

  • Implement monitoring and alerting using Prometheus, Grafana, CloudWatch, Datadog, ELK, or Splunk.
  • Troubleshoot production issues and perform root cause analysis.
  • Ensure system uptime, reliability, and performance.
  • Participate in production support and incident management.

Security & Best Practices

  • Implement IAM policies and cloud security best practices.
  • Ensure infrastructure complies with organizational security standards.
  • Manage secrets, certificates, and secure deployment practices.
  • Collaborate with Security and Infrastructure teams on governance and compliance initiatives.

Requirements

  • Bachelor''s degree in Computer Science, Information Technology, or related field.
  • 7+ years of DevOps or Cloud Engineering experience.
  • Strong hands-on experience with AWS Cloud.
  • Extensive experience with Kubernetes (EKS preferred).
  • Strong expertise in Terraform for Infrastructure as Code.
  • Hands-on experience with Ansible for configuration management and automation.
  • Strong experience with Docker and container orchestration.
  • Experience building and maintaining CI/CD pipelines.
  • Strong Linux administration and troubleshooting skills.
  • Experience with Git, branching strategies, and version control.
  • Proficiency in scripting using Python and/or Shell (Bash).
  • Strong understanding of networking, DNS, SSL/TLS, IAM, security groups, and load balancing.
  • Excellent troubleshooting and production support experience.

Preferred Qualifications

  • Experience supporting Generative AI, LLM, or Agentic AI workloads.
  • Experience deploying AI/ML models into production.
  • Exposure to LangChain, OpenAI APIs, Hugging Face, Bedrock, Vertex AI, or Azure OpenAI.
  • Experience with GPU-enabled Kubernetes clusters.
  • Knowledge of MLOps concepts and AI infrastructure.
  • Experience with GitOps tools such as ArgoCD or FluxCD.
  • AWS Solutions Architect, AWS DevOps Engineer, CKA, CKAD, or Terraform certifications are a plus.

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