Software Engineer

• Work in a collaborative but highly autonomous working environment with a defined role, clear expectations, and the freedom to pursue interesting projects
• Work closely with teams to build dev tools that empower developer's workflow and deployment infrastructure
• Manage and maintain the reliability of multi-cloud Kubernetes clusters and pipelines
• Manage metrics, logging, analytics, and alerting for performance and security across all endpoints and applications
• Implement infrastructure-as-code deployment tooling, support services on multiple cloud providers, and on-premise virtualization
• Automate operations and engineering and create ML infrastructure that enables AI teams to train, test, and deploy on large-scale datasets

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a software engineer
• A minimum of 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent
• Proficiency with coding languages (e.g., Python)
• Familiarity with container-related security best practices
• Prior experience working with Kubernetes clusterings
• Extensive experience with Terraform or CloudFormation (cloud orchestration)
• Demonstrable experience working with AWS
• Exposure to infrastructure-as-code frameworks
• Prolific experience in CI/CD and feature gating systems
• Fluency in Linux operations and configurations
• Proficient in verbal and written English