DevOps II

Capital Factory; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Capital Factory is seeking a skilled DevOps Engineer with 4+ years of experience to design, automate, and manage scalable infrastructure. The role emphasizes Kubernetes proficiency, scripting, and a basic understanding of AI/ML workflows.

You will own CI/CD pipelines, containerization, and IaC, while ensuring reliable deployments and efficient collaboration with development and QA teams. A strong focus on monitoring, security, and MLOps readiness is required.

Qualifications

• 4+ years of experience in DevOps or related roles.
• Strong hands-on experience with Kubernetes.
• Proficiency in scripting languages such as Python, Bash, or Shell.
• Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
• Knowledge of cloud platforms (AWS / Azure / GCP).
• Experience with containerization tools like Docker.
• Understanding of Infrastructure as Code (Terraform, CloudFormation, etc.).

Responsibilities

• Design, implement, and manage CI/CD pipelines for application deployment.
• Work with containerization and orchestration tools, especially Kubernetes.
• Automate infrastructure provisioning and configuration management.
• Monitor system performance, reliability, and availability.
• Collaborate with development and QA teams for seamless releases.
• Troubleshoot and resolve infrastructure and deployment issues.
• Support AI/ML model deployment and basic MLOps workflows.

Skills

DevOps experience

Scripting (Python/Bash)

AI/ML concepts understanding

Security best practices in DevOps

Tools

Kubernetes

Docker

Jenkins

GitHub Actions

GitLab CI

AWS

Azure

GCP

Terraform

CloudFormation

Prometheus

Grafana

ELK Stack

Job description

Job Overview:

We are looking for a skilled DevOps Engineer with 4+ years of experience in building, automating, and managing scalable infrastructure. The ideal candidate should have strong expertise in Kubernetes, scripting, and a basic understanding of AI/ML workflows.

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for application deployment
• Work with containerization and orchestration tools, especially Kubernetes
• Automate infrastructure provisioning and configuration management
• Monitor system performance, reliability, and availability
• Collaborate with development and QA teams for seamless releases
• Troubleshoot and resolve infrastructure and deployment issues
• Support AI/ML model deployment and basic MLOps workflows

Required Skills:

• 4+ years of experience in DevOps or related roles
• Strong hands-on experience with Kubernetes
• Proficiency in scripting languages such as Python, Bash, or Shell
• Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.)
• Knowledge of cloud platforms (AWS / Azure / GCP)
• Experience with containerization tools like Docker
• Understanding of Infrastructure as Code (Terraform, CloudFormation, etc.)

Preferred Skills:

• Basic knowledge of AI/ML concepts and model deployment
• Familiarity with MLOps tools and workflows
• Experience with monitoring tools (Prometheus, Grafana, ELK stack)
• Knowledge of security best practices in DevOps