Job Description

Job Description

Job Description

Do you love a career where you Experience , Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees.

• Jobseeker Video Testimonials
  
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If you are a DevOps Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.

Location:Charlotte, NC.

Exp: 3+ Years

We are seeking a highly skilled DevOps Engineer with a focus on supporting AI/ML workloads in containerized environments . The ideal candidate will have strong experience in deploying and managing distributed data applications , infrastructure-as-code (IaC) tools, and building reliable CI/CD pipelines . You will work at the intersection of data engineering, machine learning operations (MLOps), and cloud infrastructure —enabling teams to build and scale next-generation AI solutions.

• Design, deploy, and maintain containerized environments using Docker and Kubernetes for hosting AI and ML workloads.
  

• Develop and manage CI/CD pipelines for model deployment and infrastructure provisioning using tools like Terraform , Ansible , and Git .
  

• Monitor and fine-tune the performance of distributed systems and AI frameworks such as:
  

  • Apache Spark
    

  • Apache Kafka
    

  • HBase
    

  • Cassandra
    

• Work closely with data scientists, ML engineers, and platform teams to streamline deployment workflows and ensure infrastructure reliability.
  

• Automate operational tasks and infrastructure management with a DevOps-first mindset.
  

• Ensure system security, high availability, and fault-tolerance across environments.
  

• Troubleshoot issues in real-time, performing root cause analysis and implementing fixes in production systems.
  

• 5+ years of experience in DevOps or Site Reliability Engineering roles.
  

• Strong hands-on experience with Docker and Kubernetes in production environments.
  

• Proven experience with Infrastructure as Code (IaC) using Terraform and Ansible .
  

• Proficient with Git and modern DevOps practices for CI/CD.
  

• Experience with big data / distributed systems including Spark , Kafka , HBase , or Cassandra .
  

• Strong understanding of system monitoring, performance tuning, and alerting for large-scale applications.
  

• Familiarity with both cloud-native tools and on-premise infrastructure .
  

• Excellent scripting and automation skills (e.g., Bash, Python, Go).
  

• Experience supporting ML model pipelines or MLOps frameworks (e.g., MLflow, Kubeflow, SageMaker).
  

• Exposure to cloud platforms like AWS, Azure, or GCP.
  

• Knowledge of data versioning tools like DVC .
  

• Certification in Kubernetes or a relevant cloud provider.
  

• Strong communication and collaboration skills across cross-functional teams.
  

• Analytical mindset with problem-solving aptitude in production systems.
  

• Self-starter attitude with the ability to take ownership of complex problems.
  

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