This role is for one of the Weekday s clients Min Experience 6 years JobType full-time Requirements Responsibilities Cloud-Native Development Serverless Focus Build and maintain scalable Java cloud applications with expertise in microservices frameworks and serverless architectures Develop backend systems using Spring or Quarkus frameworks with modern Java best practices Design and implement cloud-native solutions leveraging services from at least one hyperscaler AWS Azure or GCP AWS Lambda API Gateway DynamoDB S3 CloudWatch SNS SQS Azure Functions API Management Cosmos DB Storage Application Insights Event Grid Service Bus Google Cloud Cloud Functions Apigee Datastore Cloud Storage Stackdriver Pub Sub Apply Infrastructure as Code IaC using Terraform to manage modularize and reuse infrastructure Implement Clean Code and SOLID principles with comprehensive automated unit and integration testing Work with containerized environments using Kubernetes or OpenShift Build and optimize CI CD pipelines with GitLab CI GitHub Actions Jenkins or ArgoCD Collaborate with cross-functional teams to deliver production-ready secure and maintainable solutions Mentor junior developers review code and contribute to architecture discussions Focus on performance optimization maintainability and observability using tools such as Datadog or Dynatrace Qualifications Bachelor s or Master s degree in Computer Science Engineering or related field Professional cloud certifications AWS Azure or GCP - Architect Developer preferred Proven expertise in Java backend development with Spring or Quarkus frameworks Strong hands-on experience in serverless computing AWS Lambda Azure Functions GCP Cloud Functions Proficiency in databases PostgreSQL MySQL MariaDB Amazon RDS DynamoDB Azure SQL Database Cosmos DB Google Cloud SQL Datastore Robust knowledge of containerization Kubernetes AWS EKS ECS Azure AKS GCP GKE Hands-on with Terraform for IaC CI CD expertise GitLab CI GitHub Jenkins ArgoCD Familiarity with SSO technologies OAuth2 OpenID Connect JWT SAML Experience with messaging event platforms Kafka or similar Skilled in cloud storage services Amazon S3 Azure Storage Google Cloud Storage Experience with cloud AI ML services Amazon SageMaker Bedrock Azure AI ML Google Vertex AI is an advantage Knowledge of secrets management with HashiCorp Vault Strong exposure to cloud networking components API Gateway Azure API Management Apigee Proficiency with monitoring and observability tools Datadog Dynatrace CloudWatch Application Insights Stackdriver Awareness of FinOps and cloud cost optimization practices Strong working knowledge of Linux OS and shell scripting

📌 Senior / Lead Backend Engineer Java & Cloud Engineer (India)
🏢 Weekday AI
📍 India