Backend Cloud Engineer

1 week ago

Singapore SAGETECH PTE. LTD. Full time

**Position Overview**:
As a **Backend Cloud Engineer**, you will play a crucial role in developing and maintaining scalable backend services for our cloud platform. You will leverage your expertise in Java, Spring Boot, microservices architecture, and AWS cloud technologies to build reliable, high-performance systems that serve millions of users. Additionally, you will work closely with our DevOps and infrastructure teams to ensure seamless integration and smooth deployment of services on AWS cloud infrastructure, including EKS and EKL.

**Key Responsibilities**:

- **Microservices Architecture**:Architect, implement, and optimize microservices to handle large-scale systems and ensure system reliability, scalability, and performance.
- **API Design & Integration**:Design and implement **RESTful APIs**to connect microservices and integrate with other systems.
- **Monitoring & Logging**:Use **Splunk**and other monitoring tools to ensure proactive monitoring, alerting, and troubleshooting of cloud infrastructure and services.
- **Collaboration**:Work closely with cross-functional teams, including DevOps, QA, and frontend engineers, to deliver seamless, end-to-end solutions.
- **Performance Optimization**:Optimize backend code and database queries for speed and efficiency to ensure low-latency, high-throughput processing.
- **Security & Compliance**:Follow best practices for secure coding, compliance, and data privacy within the cloud environment.
- **Continuous Improvement**:Contribute to the team’s knowledge base, improve processes, and mentor junior engineers.
- **Required Qualifications**:

- **Programming Languages**:Strong proficiency in **Java 17**and experience with **Spring Boot**for building backend services.
- **Microservices**:Solid understanding of **microservices design patterns**, service discovery, and inter-service communication using RESTful APIs.
- **Cloud Experience**:Hands-on experience with **AWS Cloud**, specifically **EKS**, **EKL**, **IAM**, and **Lambda**.
- **Containerization**:Experience with Docker and Kubernetes for deploying and managing microservices.
- **Logging & Monitoring**:Experience with **Splunk**or similar logging/monitoring tools (e.g., ELK stack).
- **Database Knowledge**:Experience with relational and NoSQL databases, including design, optimization, and performance tuning.
- **CI/CD Pipelines**:Experience with building and maintaining **CI/CD pipelines**for automated testing and deployment.
- **Version Control**:Proficient with **Git**for version control and team collaboration.
- **Agile Methodologies**:Familiar with Agile software development practices and tools (e.g., Jira, Confluence).

**Preferred Qualifications**:

- **Advanced AWS Services**:Experience with additional AWS services such as **SQS**, **SNS**, **RDS**, **DynamoDB**, **CloudWatch**, etc.
- **Advanced Logging & Metrics**:Knowledge of **Splunk**, **Prometheus**, or similar for enhanced observability and monitoring.
- **DevOps**:Familiarity with infrastructure-as-code tools such as **Terraform**or **CloudFormation**.
- **Security Best Practices**:Knowledge of secure coding practices and experience with **AWS security services**(e.g., IAM, KMS).
- **Education**:Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

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