Lead & Senior Backend Engineer

Cloud-Native Development Serverless Focus

• Design, develop and maintain Java cloud-native applications using Spring or Quarkus.
• Build scalable microservices and serverless architectures on AWS, Azure, or GCP.
• Hands-on with cloud services including
• AWS: Lambda, API Gateway, DynamoDB, S3, CloudWatch, SNS/SQS.
• Azure: Functions, API Management, Cosmos DB, Storage, Application Insights, Event Grid/Service Bus.
• GCP: Cloud Functions, Apigee, Cloud Datastore, Cloud Storage, Pub/Sub, Stackdriver.

Infrastructure as Code & DevOps

• Implement and manage Infrastructure as Code (IaC) using Terraform with best practices.
• Work with CI/CD pipelines using GitLab CI, GitHub Actions, Jenkins, or ArgoCD.
• Deploy and manage containerized applications with Kubernetes or OpenShift.

Code Quality & Architecture

• Apply Clean Code, SOLID principles and automated testing (unit & integration).
• Conduct code reviews and architecture reviews while mentoring junior developers.
• Ensure solutions prioritize maintainability, performance, scalability, and security.

Observability & Optimization

• Monitor, troubleshoot, and optimize application performance using Datadog, Dynatrace, CloudWatch, Azure App Insights, or Stackdriver.
• Implement logging, tracing, and observability best practices.
• Drive FinOps practices for cloud cost optimization.

Required Skills & Experience

• Strong proficiency in Java with hands-on experience in Spring or Quarkus.
• Expertise in serverless development (AWS Lambda, Azure Functions, Google Cloud Functions).
• Proficient with databases: PostgreSQL, MySQL, MariaDB, Amazon RDS, DynamoDB, Azure SQL, Cosmos DB, Google Cloud SQL/Datastore.
• Container orchestration expertise: Kubernetes, AWS EKS/ECS, Azure AKS, Google GKE.
• Infrastructure as Code (Terraform) for scalable cloud deployments.
• Proven experience with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, ArgoCD)
• Hands-on with event-driven architectures & messaging platforms (Kafka, SNS/SQS, Azure Service Bus, GCP Pub/Sub).
• Security & Identity: Knowledge of SSO, OAuth2, OpenID Connect, JWT, SAML, HashiCorp Vault.
• Cloud Networking: API Gateway, Azure API Management, or Apigee.
• Cloud Storage: Amazon S3, Azure Storage, Google Cloud Storage.
• Working knowledge of Linux OS & shell scripting.

Preferred Qualifications

• Bachelor s or Master s degree in Computer Science, Engineering, or related field.
• Cloud certifications (AWS, Azure, or GCP Solutions Architect, Developer).
• Exposure to AI/ML services: Amazon SageMaker, Azure Machine Learning, Google Vertex AI.
• Experience with Agile/Scrum/Kanban methodologies.