Principal Engineer(CloudOps) with Airamatrix( AI Product Company)

Job Description

Responsibilities: Creating efficient, reliable infrastructure with code Maintainability of the code, automation, deployment processes and scalability Designing/Optimizing deployment process Developing and maintaining cloud solutions in accordance with best practices. Desired Candidate Profile: Familiar with large scale production systems and technologies (load balancing, monitoring and distributed systems) Knowledge of best practices and IT operations in an always-up, always-available service Experience with Security policies to include LDAP and IAM Strong background in Linux/Unix Administration Experience with CI / CD pipelines Experience with an enterprise container platforms like Docker, singularity Experience with the distributed version control system Experience with cluster management tools like Kubernetes Experience with automation/configuration management using either Puppet, Ansible, Chef or an equivalent Collaborating with engineering and development teams to evaluate and identify optimal cloud solutions. Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues. Azure, AWS, and GCP certifications preferred. A working understanding of code and script (Java, Python, javascript) Experience in working with Microservices deployment. Experience developing and maintaining ML systems built with open source tools is an added advantage Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.) Exposure to machine learning methodology and best practice is a plus Knowledge of best practices and IT operations in an always-up, always-available service Academic background Minimum with 9-14 years of experience. Qualification: BE / MCA candidates preferred