Staff DevOps Engineer

**Job Title** Staff DevOps Engineer **About Cognichip** At Cognichip, we are building AI-native tools that transform how semiconductor engineers create, verify, and optimize chips. Our platform combines large proprietary models, agentic workflows, domain-specific engineering intelligence, and high-performance simulation infrastructure to accelerate one of the world’s most complex engineering disciplines. **About the Role** Cognichip is looking for a motivated Staff DevOps Engineer to join their team. You will architect and implement comprehensive DevOps and MLOps frameworks to support an enterprise-grade semiconductor design automation platform. Your work will directly impact our core infrastructure by designing, provisioning, and managing AWS cloud infrastructure using Infrastructure as Code (IaC) principles and modern container orchestration technologies. **Key Responsibilities** - Architect and implement comprehensive DevOps and MLOps frameworks to support an enterprise-grade semiconductor design automation platform. - Design, provision, and manage AWS cloud infrastructure using Infrastructure as Code (IaC) principles and modern container orchestration technologies. - Develop and maintain robust CI/CD pipelines to enhance development efficiency and deployment velocity. - Establish and maintain advanced monitoring, logging, and alerting systems to ensure high system availability and performance. - Implement security best practices, access controls, and compliance measures across the cloud infrastructure. **Required Qualifications** - Education: Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a closely related field. - Experience: 36 months of experience as a DevOps Engineer, Cloud Engineer, Systems Engineer, or related. - Designing and managing cloud infrastructure on AWS. - Implementing Infrastructure as Code (IaC) using Terraform. - Containerization and orchestration utilizing Docker and Kubernetes. - Building CI/CD pipelines using Jenkins and Git. - Setting up monitoring and observability tools (e.g., Prometheus, Grafana, or ELK Stack). - Supporting ML/AI infrastructure or MLOps deployment pipelines. **What It's Like Here** We’re a fast-moving AI startup with a collaborative, high-trust culture. We value technical excellence, ownership, and the freedom to experiment. Our best work happens when our builders and innovators work closely together to turn ambitious ideas into category defining products. We operate on a hybrid schedule with four days in office, one day remote. If you’re excited to build cutting edge tools that empower semiconductor engineers and reshape how chips are designed, you’ll feel right at home.