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We are seeking a skilled Python Software Engineer with strong knowledge of Python, Java, and cloud-native development on AWS. While your primary focus will be designing and building scalable, secure, and efficient back-end systems, you will also leverage your front-end background to collaborate across the stack and contribute to end-to-end product delivery. This role is ideal for engineers who are passionate about microservices, cloud infrastructure, and distributed systems, but also appreciate how their work impacts the user-facing side of applications.
Job Responsibility:
Design, develop, and maintain back-end services and APIs using Python and Java over the Spring Boot infrastructure
Build and deploy microservices with Docker and Kubernetes on AWS
Collaborate with front-end engineers to integrate APIs and ensure seamless user experiences
Contribute to front-end development when needed, providing guidance on performance and maintainability
Work with cloud-native tools and AWS services (e.g., Lambda, ECS/EKS, RDS, DynamoDB, S3, CloudWatch)
Implement best practices for security, scalability, and observability in distributed systems
Participate in code reviews, testing, CI/CD pipelines, and DevOps practices
Monitor and optimize system performance, ensuring high availability and resilience
Requirements:
BSc. in Computer Science, or a related field
7 years of hands-on experience with Python (e.g., Flask, FastAPI, Django)- Must and Java (e.g., Spring Boot, JEE) - Advantage
7 years of hands on experience in developing backend applications with containerization (Docker) and orchestration (Kubernetes)
Understanding of RESTful APIs, microservices, and system integration
Familiarity with databases (SQL , MongoDB, and/or NoSQL)
Strong foundation in computer science concepts (data structures, algorithms, design patterns)
Experience with Git, CI/CD pipelines, and cloud environments (AWS)
Nice to have:
Familiarity with front-end development (React, Angular, or similar)
Experience with event-driven architectures (Kafka, SNS/SQS)
Exposure to Infrastructure-as-Code (Terraform, CloudFormation)
Background in monitoring and observability tools (Prometheus, Grafana, ELK)
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