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AI-Powered Job Summary
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We are seeking a Backend Engineer to design, develop, and maintain backend services and APIs that power our internal and customer-facing applications. You will work closely with cross-functional teams to build reliable, scalable, and secure systems using Spring Boot, PostgreSQL, and AWS.
Responsibilities
- Develop, enhance, and maintain backend services using Java and Spring Boot.
- Design and implement RESTful APIs, ensuring performance, scalability, and reliability.
- Work with PostgreSQL, including schema design, query optimization, and performance tuning.
- Write clean, maintainable, and testable code following best practices.
- Troubleshoot production issues and contribute to improving system stability and observability.
- Participate in code reviews, architectural discussions, sprint planning, and technical decisions.
- Maintain proper documentation of systems, APIs, and processes.
- Comfortable working in a fast-paced and agile environment.
Requirements
- Bachelor's degree in Computer Science or relevant fields.
- Strong proficiency in Java and the Spring Boot ecosystem.
- Solid understanding of relational database concepts with hands-on experience in PostgreSQL.
- Strong foundation in software engineering principles: OOP, design patterns, data structures, algorithms.
- Experience with Git and standard development workflows.
- Familiarity with building and maintaining RESTful services and microservice architectures.
- Good problem-solving skills, a team player, and able to work independently and be self-driven.
- Good attitude and willingness to learn and pick up new skills.
- Able to perform support duties as required, including standby for production issues when they arise.
- Comfortable using AI tools to enhance productivity, debugging, or code generation.
Nice-to-Have
- Familiarity with Atlassian tools, including JIRA and Confluence.
- Experience with AWS cloud services (e.g. ECS/EKS, S3, RDS, Lambda).
- Exposure to Docker and containerized development.
- Experience deploying services on Kubernetes.
- Familiarity with CI/CD pipelines (Jenkins or similar).
- Knowledge of message queues (Kafka, RabbitMQ, SQS).
- Knowledge of caching mechanisms (e.g., Redis, in-memory caches).
- Monitoring/logging tools (CloudWatch, Prometheus, Grafana, ELK).
- Infrastructure-as-Code tools (Terraform, CloudFormation).
- Understanding of authentication and authorization standards (OAuth2, JWT, IAM).
- Domain knowledge in the trading, or cryptopayment industry.
Key Skills
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