Company Description
VentraGate is a cloud-focused solutions and services firm dedicated to imagining, building, and sustaining digital transformation and cloud-based technologies that customers value and enjoy using. As a leading transformation consultancy, VentraGate supports organizations of all sizes in becoming faster, more agile, and more competitive. The company focuses on modern cloud architectures, automation, and scalable platforms to help clients achieve measurable business outcomes. Team members collaborate on innovative projects that leverage emerging technologies and best practices in cloud and DevOps. VentraGate offers an environment that encourages continuous learning and practical problem-solving.
Experience - 3+ Years
About the Role
We are looking for a skilled DevOps Engineer with strong exposure to AI-driven infrastructure, automation, and cloud operations. The ideal candidate should have hands-on experience in CI/CD pipelines, cloud platforms, containerization, infrastructure automation, and supporting AI/ML environments. The role involves building scalable infrastructure, improving deployment reliability, automating operational workflows, and supporting AI-based applications and services.
Key Responsibilities
● Design, implement, and maintain scalable cloud infrastructure.
● Build and manage CI/CD pipelines for faster and reliable deployments.
● Deploy and manage containerized applications using Docker and Kubernetes.
● Automate infrastructure provisioning and monitoring processes.
● Support AI/ML workloads, model deployments, and GPU-based environments.
● Monitor system performance, uptime, and security compliance.
● Collaborate with development and AI teams for deployment optimization.
● Manage logging, monitoring, backup, and disaster recovery processes.
● Improve system reliability, scalability, and operational efficiency.
Required Skills
● Strong experience in DevOps practices and cloud infrastructure.
● Hands-on experience with AWS, Azure, or GCP.
● Experience with Docker, Kubernetes, and container orchestration.
● Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
● Experience in Infrastructure as Code tools like Terraform or Ansible.
● Understanding of Linux systems, networking, and server administration.
● Familiarity with AI/ML deployment workflows and automation.
● Knowledge of monitoring tools such as Prometheus, Grafana, or ELK Stack.
● Strong scripting skills in Python, Bash, or Shell.
Preferred Skills
● Exposure to MLOps workflows.
● Experience with GPU infrastructure and AI model deployment.
● Knowledge of security best practices and DevSecOps.
● Experience in high-availability and scalable system design.
Qualification
● Bachelor’s degree in Computer Science, IT, or related field.
● Relevant certifications are an added advantage.
