We are looking for a motivated Python Data and Backend Engineer with 7+ years of experience, who has worked on designing, building, and scaling cloud native and agnostic data backed applications on cloud platforms(AWS or Azure) Key Responsibilities Design and develop scalable, reliable backend services and cloud-native applications.Build and manage RESTful APIs, micro services, and asynchronous event driven systems. Required Skills Strong hands-on experience with deploying application on Kubernetes in production environments (mandatory).Expertise in at least one public cloud platform (AWS, Azure).Proficient in backend programming with PythonHands-on experience with cloud data-warehouses (Snowflake or Databricks).Solid understanding of distributed systems, micro services, and cloud-native and agnostic architectures.Working knowledge of SQL and relational databases. Preferred Qualifications Experience working across multiple cloud platforms and Warehouses

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.