Job: Cloud Operations Engineer at Cognigy

Cognigy is transforming the customer service industry with the most advanced AI Agent platform for enterprise contact centers. Its award-winning solution, Cognigy.AI, empowers enterprises to deliver instant, hyper-personalized, multilingual service on any channel.

Key Responsibilities

• Automate Everything – Streamline the provisioning of Kubernetes clusters and automate deployment processes for Cognigy.AI, ensuring efficiency and scalability.
• Ensure Stability & Reliability – Proactively monitor product installations and infrastructure to guarantee high availability and seamless performance for our SaaS offerings.
• Optimize & Reduce Costs – Help engineering teams automate repetitive tasks, improving efficiency, reducing operational overhead, and driving cost-effective solutions.
• Mentor & Guide – Provide expertise and mentorship to fellow Cloud Operations engineers, fostering a culture of knowledge sharing and continuous improvement.
• Full Lifecycle Involvement – Be part of an agile development team, engaging in all phases of software engineering—from inception and coding to testing, deployment, and operations. Drive automation at every level.
• Performance & Scalability Focus – Enhance development team productivity by optimizing observability, scalability, availability, and reliability. Lead postmortems after major incidents to drive continuous improvement.
• Embrace Continuous Learning – Stay ahead of industry trends, continuously develop your skills, share knowledge, and take ownership of new challenges—all while enjoying the journey.
• User-Centric Mindset – Seek and incorporate customer feedback into development processes, ensuring new features enhance user experience while keeping the codebase deployment-ready at all times.

Required Qualifications

About you Kubernetes & Containerization Expertise – You have several years of experience running containers in production, including building Kubernetes clusters...