DevOps / Platform Engineer

📋 Description

• Run, maintain, and scale production cloud infrastructure supporting a platform that processes
• Own build, deployment, and release pipelines for Python, C++, and TypeScript applications.
• Design, build, and manage production infrastructure for AI agents, incorporating observability
• Lead observability practices and incident response activities to maintain platform reliability.
• Automate repetitive operational tasks and workflows using AI agents.
• Take end-to-end ownership of infrastructure and platform engineering projects, from identifying

🎯 Requirements

• Extensive hands-on experience managing production cloud infrastructure using AWS, Microsoft Azure
• Practical experience with Infrastructure as Code (IaC), particularly Terraform or equivalent
• Strong experience with Docker and containerized environments.
• Proven ownership of CI/CD pipelines, including build, deployment, and release processes.
• Experience implementing and managing observability, incident response, and robust security
• Daily, hands-on experience using AI agents and advanced AI models in engineering workflows.

🎁 Benefits

• Fully remote, long-term employment opportunity.
• Opportunity to work on an AI-native cybersecurity platform operating at significant data scale.
• High degree of autonomy and end-to-end ownership of engineering projects.
• Collaboration with a multidisciplinary international engineering team.
• Exposure to advanced AI agents, cloud infrastructure, and modern platform engineering practices.
• Opportunity for professional growth in a remote-first environment that values employee development