Sr. Development Engineer – Cloud Backend

Mandatory Criteria :Candidate must have Strong hands-on experience with Kubernetes of atleast 2 years in production environments.Candidate should have Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI).Proficient in backend programming with Python, Java, or Kotlin (at least one is required).Candidate should have strong Backend experience.Hands-on experience with BigQuery or Snowflake for data analytics and integration.About the RoleWe are looking for a highly skilled and motivated Cloud Backend Engineer with 4–7 years of experience, who has worked extensively on at least one major cloud platform (GCP, AWS, Azure, or OCI). Experience with multiple cloud providers is a strong plus. As a Senior Development Engineer, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.# Experience with Kubernetes is mandatory.Key ResponsibilitiesDesign and develop scalable, reliable backend services and cloud-native applications.Build and manage RESTful APIs, microservices, and asynchronous data processing systems.Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.Implement and manage CI/CD pipelines and infrastructure automation.Collaborate with frontend, DevOps, and product teams in an agile environment.Ensure high code quality through testing, reviews, and documentation. Required SkillsStrong hands-on experience with Kubernetes of atleast 2 years in production environments (mandatory).Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI].Proficient in backend programming with Python, Java, or Kotlin (at least one is required).Solid understanding of distributed systems, microservices, and cloud-native architecture.Experience with containerization using Docker and Kubernetes-native deployment workflows.Working knowledge of SQL and relational databases.  Preferred QualificationsExperience working across multiple cloud platforms.Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).Hands-on experience with BigQuery or Snowflake for data analytics and integration. Nice to HaveKnowledge of NoSQL databases or event-driven/message-based architectures.Experience with serverless services, managed data pipelines, or data lake platforms.