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Senior / Lead Backend Engineer Java & Cloud Engineer at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 6 years. JobType: full-time. 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). . . Strong 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. .. . Company Location: India.