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.

Lead & Senior Backend Engineer