About us\- MostEdge is revolutionizing the retail industry with a cutting\-edge analytics platform designed to prioritize customer needs and shape the future of retail. From advanced POS systems and self\-service kiosks to surveillance, loyalty solutions, and next\-level consumer engagement tools, MostEdge empowers businesses to transform every customer interaction into a profitable opportunity. By seamlessly integrating retail management processes, optimizing supply chains, and ensuring stock availability for in\-demand products, MostEdge enables businesses to grow efficiently while eliminating time consuming administrative tasks. As one of the only company offering 24/7 c\-store operations, shrink management, audits, and reconciliation services, MostEdge ensures that every transaction is secure, accurate, and optimized for success. Beyond technology, MostEdge’s learning academy nurtures employees and owners into tomorrow’s retail leaders, fostering innovation and growth across the industry. By partnering with retailers, distributors, and manufacturers, MostEdge is not just enhancing retail operations—it’s empowering businesses to thrive sustainably, profitably, and confidently in an ever evolving market.
About the Role We are looking for an experienced Senior DevOps Engineer to join our global engineering team. This role is based in India and will focus on designing, automating, and maintaining multi\-cloud infrastructure across AWS, GCP, OVH, and Runtime Cloud, while supporting our microservices architecture, Kafka event streams, ETL pipelines, Kubernetes clusters, and database systems (MongoDB, MariaDB, PostgreSQL, MySQL).
You will collaborate with cross\-functional teams across geographies to ensure our systems are scalable, resilient, and secure, while driving automation and best practices in modern DevOps culture. Key Responsibilities
Lead the design and maintenance of multi\-cloud infrastructure spanning AWS, GCP, OVH, and Runtime Cloud.
Build and optimize CI/CD pipelines to enable faster, safer releases.
Deploy, scale, and monitor Kubernetes clusters and containerized workloads.