
Valiance Solutions
7 days ago
Responsibilities :
- Application Deployment : Collaborate with the development teams to design and execute efficient and reliable application deployment processes.
- Infrastructure Automation : Automate infrastructure provisioning and configuration tasks, including VPC setup, server configuration, and network endpoint configuration.
- Containerization : Assist in containerizing applications using Docker, ensuring scalability, portability, and security.
- Continuous Integration/Continuous Deployment (CI/CD) : Implement and enhance CI/CD pipelines to streamline the application deployment process.
- Monitoring and Logging : Set up monitoring and logging solutions to ensure the smooth functioning of deployed applications and identify performance bottlenecks.
- Security : Work closely with the security team to implement best practices for securing cloud-based applications and infrastructure.
- Troubleshooting and Support : Collaborate with cross-functional teams to troubleshoot and resolve any infrastructure or deployment-related issues.
- Documentation : Maintain detailed documentation of infrastructure and deployment processes, ensuring knowledge sharing and seamless :
- Experience : 3 to 5 years of relevant experience in DevOps, cloud automation, and application deployment.
- DevOps Tools : Proficiency with popular DevOps tools and technologies such as Git, Jenkins, Ansible, Terraform, Kubernetes, etc.
- Cloud Platforms : Strong hands-on experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and familiarity with cloud services such as EC2, S3, VPC, etc.
- Docker : Solid understanding and practical experience with Docker containerization for application deployment.
- AI/ML and Models : Familiarity with AI/ML concepts and experience in deploying applications that use pre-trained or custom models will be advantageous.
- Scripting and Automation : Proficient in scripting languages such as Python, Bash, or Shell for automating tasks.
- Networking : Knowledge of networking concepts and experience in configuring network endpoints and VPCs.
- Problem-Solving : Strong analytical and problem-solving skills to diagnose and resolve technical issues.
- Communication : Excellent communication and collaboration skills to work effectively with cross-functional teams and clients.
- Cloud Certifications : Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer) will be a plus.
This is a fantastic opportunity to join a dynamic team and work on cutting-edge AI/ML-based applications in a fast-paced and collaborative environment.
If you are passionate about DevOps, cloud automation, and AI/ML technologies, and have the drive to deliver high-quality results, we encourage you to apply
(ref:hirist.tech)
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