Job Title: DevOps Engineer -SE II (3-6 years) Location: Bangalore Reports to: Director AI Infra Department: AI Accelerate About Us: Welcome to Foundry, a cryptocurrency pioneer dedicated to advancing decentralized infrastructure. At Foundry, we’re not waiting for a decentralized financial future — we’re building it now. By empowering institutions with the tools, they need to mine and stake digital assets, we’re thoughtfully driving the industry forward with our team at the centre of it all. Job Description: Role Overview: We are seeking a DevOps Engineer with familiarity in Python and machine learning to enhance our infrastructure and automation processes. The ideal candidate will have hands-on experience with Terraform, Ansible, and monitoring tools to support our infrastructure, deployment pipelines, and machine learning operations. Key Responsibilities: 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. CI/CD Pipelines: Develop and maintain CI/CD pipelines to support code integration, testing, and deployment. Implement best practices for version control and automated Automation: Use Python for scripting and automating tasks related to infrastructure, deployment, and Create and maintain automation tools to improve system efficiency and reliability. Machine Learning Integration: Work with data science teams to deploy and manage machine learning Optimize and monitor ML model performance in production environments. 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. Documentation: Maintain clear and comprehensive documentation for infrastructure, deployment processes, and operational procedures. Requirements: Experience: 3-6 years of experience in a DevOps or related role with a strong understanding of DevOps practices and tools. Python: Proficiency in Python for scripting, automation, and integration Machine Learning: Familiarity with machine learning frameworks and best practices for deploying ML models. Terraform: Hands-on experience with Terraform for infrastructure as code (IaC) and cloud provisioning. Ansible: Experience with Ansible for configuration management and Docker: Proficiency in using Docker for containerization of applications Kubernetes:Experience with Kubernetes for container orchestration, including deploying, scaling, and managing containerized applications. Monitoring Tools:Familiarity with monitoring tools such as Prometheus, Grafana, ELK Stack, or similar. Cloud Platforms: Experience with cloud services (AWS, Azure, GCP) and infrastructure management. CI/CD Tools: Knowledge of CI/CD tools such as Jenkins, GitLab CI, CircleCI, or Version Control: Experience with version control systems, particularly Infrastructure Knowledge: Strong understanding of infrastructure components and architecture, including networking, storage, and compute Experience with designing and maintaining infrastructure to ensure high availability, scalability, and performance. Problem-Solving: Strong troubleshooting skills with a proactive approach to resolving issues. Communication: Excellent communication skills and the ability to work effectively in a collaborative team environment. Preferred Qualifications: Bachelor’s Degree in Computer Science, Engineering, or a related Certifications: Relevant certifications in cloud platforms (e.g., AWS Certified DevOps Engineer) and Kubernetes. Experience with ML Ops: Understanding of ML Ops practices and tools for managing the lifecycle of machine learning models. When applying, mention the word CANDYSHOP to show you read the job post completely.