Site Reliability Engineer

Who we are ZYTLYN Technologies empowers companies across the $11 trillion travel industry to shape the future with predictive AI solutions that augment commercial planning, sales, marketing, retailing and operations. We work with some of the largest travel brands in the world, and our vision is to answer highly detailed and granular questions about the future of travel, such as demand, supply, market fluctuations and pricing. Our core focus is on airlines, airports, travel agencies, destinations, and other key players in the travel ecosystem. What we're looking for: We are seeking a Site Reliability Engineer to join our team. As a Site Reliability Engineer, you will be responsible for ensuring the reliability, scalability, and performance of our AI-powered predictive solutions. This includes designing, implementing, and maintaining the infrastructure that supports our applications. Responsibilities: * Design, implement, and maintain the infrastructure that supports our AI-powered predictive solutions; * Collaborate with cross-functional teams to identify and prioritize technical requirements; * Develop and maintain automated monitoring and alerting systems to ensure system reliability and performance; * Troubleshoot and resolve production issues in a timely manner; * Work closely with the development team to ensure that our applications are scalable, reliable, and performant. Requirements: * Bachelor's degree in Computer Science or related field; * 3+ years of experience as a Site Reliability Engineer or similar role; * Strong understanding of cloud-based infrastructure (AWS, GCP, Azure) and containerization (Docker); * Experience with automation tools such as Ansible, Terraform, or CloudFormation; * Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK Stack; * Strong problem-solving skills and attention to detail; * Excellent communication and collaboration skills. What we offer: * Competitive salary and benefits package; * Opportunity to work on cutting-edge AI-powered predictive solutions; * Collaborative and dynamic work environment; * Professional development opportunities; * Flexible working hours and remote work options.