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Key Responsibilities
• Design, develop, and maintain scalable and efficient backend services and APIs using Ktor
• Collaborate with frontend and mobile engineers to deliver seamless end-toen functionality
• Write clean, modular, and well-documented code that adheres to our coding standards
• Participate in code reviews and contribute to improving overall code quality
• Troubleshoot, debug, and optimize backend services for performance, reliability, and scalability
• Stay up-to-date with the latest developments in Ktor, Kotlin, and backend Technologies
• Participate in agile development practices, including sprint planning, daily stand-ups, and retrospectives
• Contribute to the design and development of the backend architecture and infrastructure
• Integrate with cloud platforms and services (Google Cloud, Azure etc.) as needed
Qualifications
Requirements:
• 2+ years of experience in backend development (experience with Ktor is a strong plus, but not mandatory)
• 1+ years of experience using Kotlin
• Familiarity with building RESTful APIs
• Experience with Kotlin coroutines and asynchronous programming
• Experience with API integration and database design
• Familiarity with version control systems such as Git
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills in English
• Experience with agile development methodologies and working in a team based environment
• Willingness to learn Ktor for candidates with strong experience in Kotlin and any other backend framework
Nice to Have:
• Experience with other backend frameworks such as Spring Boot
• Experience with cloud-based services like AWS, Google Cloud, or Azure
• Experience with containerization technologies such as Docker or Kubernetes
• Experience with testing frameworks such as JUnit or Mockito
• Experience with continuous integration and continuous deployment (CI/CD) pipelines
• Familiarity with micro services architecture
• Experience with MongoDB
• Experience with LLM APIs such an OpenAI or Groq
• Experience with machine learning
Location
• Remote
Experience
• 2 year to 4 years
Timings
• 2 PM to 10 PM – (UK Time Zone)
• Monday – Friday (Sat & Sun off)
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