Lead & Senior Backend Engineer - (Java & Cloud) - GAD (Remote)

14 hours ago

Chennai, Tamil Nadu, India Getinz Techno Services Full time

Job Title: Senior / Lead Backend Engineer (Java, Cloud & DevOps)
Experience: 5 to 10 yrs Years (Senior / Lead level) Mandaotry Skills : java Backend , AWS/GCP/Azure cloud, Sagemaker, Microservices, sb, kubernates, CI/CD,Terraform, AI /ML
Work Mode: Remote (anywhere in India)
Notice Period: Immediate to 15 Days
Role Overview
We are seeking a highly experienced Senior or Lead Backend Engineer with strong expertise in Java software development, cloud-native architecture, and DevOps practices. The ideal candidate will bring hands-on experience in Java microservice frameworks (Spring/Quarkus), serverless technologies (AWS Lambda, Azure Functions, Google Cloud Functions), container orchestration and CI/CD automation. This role requires technical leadership, mentorship and the ability to design, build and optimize scalable, secure and reliable enterprise-grade applications.

Key Responsibilities
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.

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