We are seeking a skilled Back-End 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.

Key Responsibilities

- 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 in developing backend applications with containerization (Docker) and orchestration (Kubernetes).
• 7 years of hands-on experience with Python (e.g., Flask, FastAPI, Django) and Java (e.g., Spring Boot, JEE).
• 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).