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Foundry
DevOps Engineer SE
atĀ Foundry
3 months ago | 134 views | 5 applications

DevOps Engineer SE

Full-time
Bengaluru
Per year
$81,000 To $97,000

About the company

At Foundry, weā€™re not waiting for a decentralized financial future ā€” weā€™re building it now. By empowering institutions with the tools they need to mine and stake digital assets, weā€™re thoughtfully driving the industry forward. Are you a driven blockchain enthusiast interested in joining our team? Check out our open roles. Also, if you have an interest in Foundry and a passion for our industry, but don't see a position that is a fit for you at this time, please submit your application to the General Interest and one of our recruiters will review your application.

Job Summary

Key Responsibilities:

šŸ“Infrastructure Management: Design, deploy, and manage scalable infrastructure using Terraform and cloud platforms (e.g., AWS, Azure, GCP). Automate infrastructure provisioning and configuration with Ansible. šŸ“CI/CD Pipelines: Develop and maintain CI/CD pipelines to support code integration, testing, and deployment. Implement best practices for version control and automated šŸ“Automation: Use Python for scripting and automating tasks related to infrastructure, deployment, and Create and maintain automation tools to improve system efficiency and reliability. šŸ“Machine Learning Integration: Work with data science teams to deploy and manage machine learning Optimize and monitor ML model performance in production environments. šŸ“Monitoring and Troubleshooting: Implement and maintain monitoring solutions to ensure system health and performance. Use monitoring tools to quickly identify and resolve issues related to infrastructure and applications. šŸ“Documentation: Maintain clear and comprehensive documentation for infrastructure, deployment processes, and operational procedures.

Requirements:

šŸ“Experience: 3-6 years of experience in a DevOps or related role with a strong understanding of DevOps practices and tools. šŸ“Python: Proficiency in Python for scripting, automation, and integration šŸ“Machine Learning: Familiarity with machine learning frameworks and best practices for deploying ML models. šŸ“Terraform: Hands-on experience with Terraform for infrastructure as code (IaC) and cloud provisioning. šŸ“Ansible: Experience with Ansible for configuration management and šŸ“Docker: Proficiency in using Docker for containerization of applications šŸ“Kubernetes:Experience with Kubernetes for container orchestration, including deploying, scaling, and managing containerized applications. šŸ“Monitoring Tools:Familiarity with monitoring tools such as Prometheus, Grafana, ELK Stack, or similar. šŸ“Cloud Platforms: Experience with cloud services (AWS, Azure, GCP) and infrastructure management. šŸ“CI/CD Tools: Knowledge of CI/CD tools such as Jenkins, GitLab CI, CircleCI, or šŸ“Version Control: Experience with version control systems, particularly

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