We are seeking a DevOps Engineer with 8-12 years of experience in relevant technologies and practices. The selected candidate will contribute to the Microchip Corporate DevOps team and will be responsible for driving automation, infrastructure management, CI/CD implementation, and operational excellence across development environments.
Responsibilities
- Designing and maintaining continuous integration/continuous deployment pipelines to automate code testing and deployment
- Tracking software performance, fixing errors, troubleshooting systems, implementing preventive measures for smooth workflows, and building automated processes
- Optimizing cloud resources and implementing cost-effective solutions
- Implementing and managing infrastructure using code rather than manual processes. Uses Terraform or CloudFormation for Infrastructure as Code (IaC) management
- Collaborating between teams helps in resolving issues quickly and deploying new features smoothly
- Monitoring and creating new processes based on performance analysis
- Better management of the software development process and implementation of configuration management tools
- Automating repetitive tasks to improve team efficiency
- Implementing security best practices,
including automated compliance checks and secure code deployment
- Deploying AI tools into the Kubernetes clusters.
Requirements/Qualifications
- Hands-on experience with CI/CD tools
- Good experience in infrastructure as code tools
- Familiarity with monitoring and logging tools
- Proficiency in Docker for packaging applications and Kubernetes for managing containers
- Robust problem-solving and troubleshooting skills
- Excellent communication and collaboration skills to ensure proper teamwork
- Proficiency in scripting languages like Python, PowerShell, etc.
- Bachelor s degree in computer science, Engineering, or a related discipline, or equivalent industry experience
Good to Have Skills
- Experienced in managing DevOps tools, including JIRA, Confluence, Bitbucket, Artifactory, and SonarQube.
- AI Infrastructure: Experience setting up AI tools, services, and hosting LLM models for inference.
- API Gateways: Proven track record configuring AI Model Gateways and MCP (Model Context Protocol) Gateways.
- Security Access: Hands-on experience implementing enterprise authentication, including OAuth, SSO, and Microsoft Entra ID.
Travel Time
No Travel
📌 Principal Engineer-Software (Tamil Nadu)
🏢 Microchip Technology
📍 Tamil Nadu
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