Lead & Senior Backend Engineer - (Java & Cloud) - GAD (Remote) at Getinz Techno Services

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java Backend, AWS, GCP, Azure, Sagemaker, Microservices, Kubernetes, CI/CD, Terraform, AI, ML, Spring, Quarkus, Serverless, Databases, Infrastructure as Code, Event-Driven Architectures

Industry

Staffing and Recruiting

Description

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.

Responsibilities

Design, develop, and maintain Java cloud-native applications using Spring or Quarkus. Build scalable microservices and serverless architectures on AWS, Azure, or GCP.